{ "schemaVersion": "deck-intelligence.v1", "id": "019de071-1e1f-767c-ab67-c81884a79674", "slug": "929d369addb66c66ea91c37ce784133c", "title": "Bigbear AI | SPAC Presentation Deck | 42 slides", "subtitle": "BigBear.ai · 2021-06", "author": "BigBear.ai", "date": "2021-06-01 00:00:00", "pageCount": 42, "kind": "pitchdeck", "orientation": "landscape", "aspectRatio": 1.7777778, "document": { "id": "019de071-1e1f-767c-ab67-c81884a79674", "slug": "929d369addb66c66ea91c37ce784133c", "title": "Bigbear AI | SPAC Presentation Deck | 42 slides", "rawTitle": "Bigbear AI | SPAC Presentation Deck | 42 slides", "authorId": "bigbear-ai", "authorName": "BigBear.ai", "authorDisplay": "BigBear.ai", "kind": { "slug": "pitchdeck", "label": "Pitch deck" }, "sourceType": { "slug": "investment_bank", "label": "Investment bank" }, "fileName": "2021-06__bigbear-ai__spac__929d369a.pdf", "sourceUrl": "https://www.slidebook.io/company/bigbear-ai/presentation/929d369addb66c66ea91c37ce784133c/", "sourceDate": "2021-06-15 00:00:00", "presentationDate": "2021-06-01 00:00:00", "ingestedAt": "2026-04-30 22:10:03.014586+00", "status": "ready", "pageCount": 42, "orientation": "landscape", "aspectRatio": 1.7777778, "targetCompany": null, "targetTicker": null, "metadata": { "corpus": "slidebook", "industry": "information-technology-services", "local_root": "/Users/miguelsuredasuau/Desktop/lalalalla/_scrape/slidebook/decks/2021-06__bigbear-ai__spac__929d369a", "image_width": 1920, "image_format": "jpg", "deck_type_raw": "SPAC Presentation Deck", "deck_type_slug": null, "source_url_pattern": "https://www.slidebook.io/company/{company_slug}/presentation/{deck_id}/" } }, "coverage": { "pageCount": 42, "pagesIndexed": 42, "pagesWithImages": 42, "pagesWithMetadata": 42, "imageCoveragePct": 100, "metadataCoveragePct": 100, "componentCount": 221, "chartCount": 14, "metricSlides": 0, "toolMatches": 18, "documentToolMatches": 0, "frameworkMatches": 14, "arcMatches": 1, "beatMatches": 4, "loopMatches": 2, "patternMatches": 0, "storymakersMatch": false, "scoreAvailable": false, "reviewAvailable": false, "activistThesisAvailable": false, "pitchdeckMetadataAvailable": false, "pitchdeckProfileAvailable": false }, "blocks": [], "matches": { "arcs": [ { "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "matchId": "93586a86-b056-43e1-868d-d3a1c9f208f8", "evidence": "The deck follows a similar structure to a Sequoia pitch, with sections on problem, solution, market size, traction, and team.", "isPrimary": true, "confidence": 0.8, "extraction": { "at": "2026-07-16 22:14:14.206592+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "beats": [ { "to": 12, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 11, "name": "Problem", "beatId": "aadca1fd-76bb-43c8-b4b1-717bbd62b49d", "matchId": "93586a86-b056-43e1-868d-d3a1c9f208f8", "beatType": { "name": "Problem", "slug": "sequoia-pitch-problem", "status": "active", "canonId": "019dd9b8-1ed4-767b-8e05-40e733bd2311", "version": 1, "description": null }, "evidence": "Slides 11-12 describe the complex environments and customer needs.", "position": 0, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 17, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 15, "name": "Solution", "beatId": "34b3df98-6638-47a5-a523-4d52e6416bf1", "matchId": "93586a86-b056-43e1-868d-d3a1c9f208f8", "beatType": { "name": "Solution", "slug": "sequoia-pitch-solution", "status": "active", "canonId": "019dd9b8-1fb1-71d9-a260-07738d7f9c2f", "version": 1, "description": null }, "evidence": "Slides 15-17 present BigBear.ai's AI-powered solutions and composable foundation.", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Turn", "slug": "turn", "status": "active", "canonId": "019dd9b8-0396-702b-ac2f-9901f8dd8b54", "version": 1, "description": "The pivot — solution proposed, catalyst introduced, decision made. Common (15/20 arcs) but not universal: Triple-take, AIDA, PAS, Voyage-return and Pixar substitute it with a strong reflection or development beat." }, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 27, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 24, "name": "Traction", "beatId": "3280206c-1537-4f7a-996b-a34f271e7f9b", "matchId": "93586a86-b056-43e1-868d-d3a1c9f208f8", "beatType": null, "evidence": "Slides 24-27 showcase recent wins, pipeline opportunities, and growth strategy.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 6, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 6, "name": "Team", "beatId": "ab5386f3-fd1c-40bb-ab0f-bf4117239194", "matchId": "93586a86-b056-43e1-868d-d3a1c9f208f8", "beatType": { "name": "Team", "slug": "sequoia-pitch-team", "status": "active", "canonId": "019dd9b8-23c9-746f-aaf9-2f5d83892cf3", "version": 1, "description": null }, "evidence": "Slide 6 presents the presenters' bios.", "position": 3, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 12, "from": 11, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null, "categoryName": "Urgency", "categorySlug": "urgency" }, "matchId": "593ac132-fb56-49af-96ab-7f949bd6241e", "evidence": "Slides 11-12 imply the costs of inaction in complex environments.", "position": 0, "objective": "What are the consequences of not adopting BigBear.ai's solutions?", "confidence": 0.6, "extraction": { "at": "2026-07-16 22:14:14.419971+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } }, { "to": 27, "from": 24, "loop": { "name": "47_quick_win_big_bet", "slug": "47-quick-win-big-bet", "status": "active", "bestFor": "Transformation planning, 100-day plans, resource allocation", "canonId": "019dd956-790d-708d-983e-ef9bbc68f741", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap", "description": "Separate initiatives into immediate wins and longer-term strategic bets", "familyLabel": null, "categoryName": "Consulting Framework", "categorySlug": "consulting-framework" }, "matchId": "35157aac-6842-43cb-8456-56c188ddc538", "evidence": "Slides 24-27 present recent wins and growth strategy.", "position": 1, "objective": "What are the potential returns on investment for BigBear.ai's solutions?", "confidence": 0.6, "extraction": { "at": "2026-07-16 22:14:14.461534+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "tools": [ { "tool": { "name": "Slide recipe: Cover", "slug": "cover-slide", "status": "active", "bestFor": null, "canonId": "019df269-2a08-767d-9128-e7431e6fe8a3", "version": 1, "bodyDocId": "019df269-29e5-7738-b5fa-6892e5dc8e65", "description": "The first ten seconds. Build it deliberately.", "familyLabel": "slide-recipe", "categoryName": "Slide", "categorySlug": "slide" }, "agent": "designer", "layer": "slide", "agents": [ "designer" ], "matchId": "1f585916-f15b-422e-b9a7-6f46d63539a4", "evidence": "BIGBEAR.AI TO BECOME PUBLICLY TRADED COMPANY VIA MERGER WITH GIGCAPITAL4", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 23:39:40.795223+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 1, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "2x2 matrix", "slug": "matrix-2x2", "status": "active", "bestFor": null, "canonId": "019dd9e1-50ab-72d1-8afb-3ab0a38e32a8", "version": 1, "bodyDocId": null, "description": "BCG matrix, importance/urgency, any axes-and-quadrants frame.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "d75a4fee-5d2b-48f0-9071-e6b8756e7b99", "evidence": "Valuation implies a pro forma Enterprise Value of $1,565 million (5.6x 2022E revenue)", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 23:39:36.208552+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 4, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Executive summary", "slug": "executive-summary", "status": "active", "bestFor": null, "canonId": "019dd9e1-4b63-72d5-9734-da757d91ca61", "version": 1, "bodyDocId": null, "description": "A condensed view of the entire argument on a single slide / block.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "df7a2031-c2bb-452a-85a0-7f8d9748d5ba", "evidence": "GigCapital4, Inc. (NASDAQ: GIGGU) is a $358.8M publicly traded Special Purpose Acquisition Company", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 23:39:36.2902+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Executive summary", "slug": "executive-summary", "status": "active", "bestFor": null, "canonId": "019dd9e1-4b63-72d5-9734-da757d91ca61", "version": 1, "bodyDocId": null, "description": "A condensed view of the entire argument on a single slide / block.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "a8890a32-4641-4dd5-82e3-e51e3c31dfe8", "evidence": "Modular end-to-end offering; Large addressable market growth; ~40% CAGR; ~$310B by 2026; Land & expand strategy; Established defense/intel base; Growing commercial sector; Positive financial metrics; $500+M", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 23:39:36.454655+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Executive summary", "slug": "executive-summary", "status": "active", "bestFor": null, "canonId": "019dd9e1-4b63-72d5-9734-da757d91ca61", "version": 1, "bodyDocId": null, "description": "A condensed view of the entire argument on a single slide / block.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "867531c6-1d23-45f3-ac7c-8d3a7af99eb3", "evidence": "BigBear.ai, fueled by machine driven analytics, enables decision making dominance in real-time", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 23:39:36.578106+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 10, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Audience Definition", "slug": "audience-definition", "status": "active", "bestFor": null, "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756", "version": 1, "bodyDocId": null, "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "ab33aff3-d4e1-4a52-b96f-428e2710a70c", "evidence": "Client-focused, Specialized Workforce Builds Customer Intimacy", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 23:39:44.394185+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 14, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "List presentation", "slug": "list-presentation", "status": "active", "bestFor": null, "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1", "version": 1, "bodyDocId": null, "description": "Bulleted, numbered, or checklist enumerations.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "b9a85a96-6a02-4122-b4f5-54b220a2c10b", "evidence": "list/bullet: 64% TS & TS / SCI Employees Across Numerous Disciplines: Software Engineering, Software Development, Data Science – AI / ML, Data Architecture, Analytics Engineering", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-16 23:39:44.433975+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 14, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "2x2 matrix", "slug": "matrix-2x2", "status": "active", "bestFor": null, "canonId": "019dd9e1-50ab-72d1-8afb-3ab0a38e32a8", "version": 1, "bodyDocId": null, "description": "BCG matrix, importance/urgency, any axes-and-quadrants frame.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "30c29ed2-2f37-4e9c-bd98-b310db49e408", "evidence": "diagram/other: Central positioning of BigBear.ai between two competitive archetypes", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-16 23:39:44.599336+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 20, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Pyramid Principle", "slug": "pyramid-principle", "status": "active", "bestFor": "When the document has a single governing decision or recommendation the reader is asked to accept, and the case can be decomposed into a small number of clean groups. Strategy decks, board memos, investment committee papers.", "canonId": "019dd956-7cbd-7219-a477-c871e2bc1aff", "version": 1, "bodyDocId": "88b6ac56-b880-46f9-8621-ef3491ab6235", "description": "Lead with the answer; group three to five MECE supports beneath it; recurse one level down. Top-down hierarchical structure for any document with a single recommendation.", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "dbc89548-8020-4b22-8607-98262ea8af30", "evidence": "list/bullet: Execute on Existing Backlog; Pursue Near-Term Opportunities; Expand Presence in Commercial Market; Opportunities for Inorganic Growth and Horizontal Expansion", "pageRefs": null, "priority": "Core", "whenToUse": "When the document has a single governing decision or recommendation the reader is asked to accept, and the case can be decomposed into a small number of clean groups. Strategy decks, board memos, investment committee papers.", "confidence": 0.6, "extraction": { "at": "2026-07-16 23:39:44.680465+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 22, "whyItWorks": "Solves the two failure modes of expert communication at once: (1) the long climb where readers wait pages for the answer, and (2) logical mush from non-MECE groupings. Progressive disclosure lets a reader stop at any depth and get the right information.", "antipattern": "Chronological structure (\"what we did, what we found, what we conclude\") instead of logical hierarchy. Top-of-pyramid that is a topic (\"strategic options\") instead of an answer (\"pursue Option B because...\"). Non-MECE supports that overlap or fail to cover the universe.", "cardinality": null, "narrativePurpose": "Transfer conviction with minimum reader effort by mirroring how decision-makers consume information: answer first, scaffolding behind." }, { "tool": { "name": "Storytelling: the three headline reasons", "slug": "three-reasons", "status": "active", "bestFor": null, "canonId": "019df269-279c-773a-b063-5bc5f939bf3e", "version": 1, "bodyDocId": "019df269-2777-7629-9421-3abab5842d6b", "description": "A single slide, early in the deck (typically slide 3 — immediately after the", "familyLabel": "narrative-block", "categoryName": "Narrative & Transformation", "categorySlug": "narrative-transformation" }, "agent": "storyteller", "layer": "slide", "agents": [ "storyteller" ], "matchId": "33d21d61-bb78-48ef-99ba-3a583288546c", "evidence": "History of getting a single foothold with a customer and expanding as they learn our full value.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 23:39:55.779274+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 26, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "6f886371-bbb3-408d-8062-528c486af3c0", "evidence": "PROVEN M&A TRACK RECORD, ACTIONABLE PIPELINE", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 0.9, "extraction": { "at": "2026-07-16 23:39:55.90254+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 27, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Audience Definition", "slug": "audience-definition", "status": "active", "bestFor": null, "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756", "version": 1, "bodyDocId": null, "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "924e8aa6-85a5-40b2-b6da-72cbdbbe060b", "evidence": "M&A has potential to strategically build out capabilities and allow BigBear.ai to accelerate customer penetration", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 23:39:55.861367+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 27, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Section divider", "slug": "section-divider", "status": "active", "bestFor": null, "canonId": "019dd9e1-4c66-707d-8d1f-6e14547134c7", "version": 1, "bodyDocId": null, "description": "A transitional slide marking the start of a new section.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "72b093f4-6ff4-4952-9f3c-3f2ba838d690", "evidence": "FINANCIAL HIGHLIGHTS", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 23:39:55.984394+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 28, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Waterfall chart", "slug": "waterfall-chart", "status": "active", "bestFor": null, "canonId": "e2799da3-725f-44a9-a093-570f1f388e64", "version": 1, "bodyDocId": null, "description": null, "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "da6623a0-a558-4fcf-a765-602c0aaf80c9", "evidence": "Total Revenue ($M) 277 764 40% CAGR; Analytics Revenue (%) 52% 75% 75% by 2025E; Adj. EBITDA Margin (%) 13% 21% ~800 bps expansion", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-16 23:39:56.06549+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 29, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Section divider", "slug": "section-divider", "status": "active", "bestFor": null, "canonId": "019dd9e1-4c66-707d-8d1f-6e14547134c7", "version": 1, "bodyDocId": null, "description": "A transitional slide marking the start of a new section.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "716b9003-1647-4745-b519-6eff3ae73a47", "evidence": "VALUATION OVERVIEW & TRANSACTION SUMMARY", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 23:39:56.266977+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 33, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Slide recipe: the peer-gap chart", "slug": "peer-gap-chart-recipe", "status": "active", "bestFor": null, "canonId": "019df269-2b04-75bc-ad85-e0179264bdd7", "version": 1, "bodyDocId": "019df269-2ae1-771d-9cd1-193a2e25f21c", "description": "The single most-copied slide in activism. This is the exact layout, used", "familyLabel": "slide-recipe", "categoryName": "Slide", "categorySlug": "slide" }, "agent": "designer", "layer": "slide", "agents": [ "designer" ], "matchId": "41a8f194-7af9-4f8f-bd3b-a7789a0506c0", "evidence": "Benchmarking (cont'd) Transaction value vs Peer valuation ranges", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-16 23:39:49.374421+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 38, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Table data", "slug": "table-data", "status": "active", "bestFor": null, "canonId": "019dd9e1-4fab-7168-a82f-b847350a006d", "version": 1, "bodyDocId": null, "description": "Tabular layouts of structured data.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "2c98d496-4f96-49f0-b944-9d839de973a6", "evidence": "ILLUSTRATIVE SOURCES & USES table", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 23:39:49.4555+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 39, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Table data", "slug": "table-data", "status": "active", "bestFor": null, "canonId": "019dd9e1-4fab-7168-a82f-b847350a006d", "version": 1, "bodyDocId": null, "description": "Tabular layouts of structured data.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "57d6cf42-6fbf-42e3-8055-a6c330120d96", "evidence": "Financial table with rows for Revenue, Gross Profit, EBITDA, and Free Cash Flow", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 23:39:49.577634+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 41, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [ { "matchId": "aaad5ff2-8764-415a-9724-fad1dfe5034d", "evidence": "Chronological display of SPAC transactions", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 13:36:12.859+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "frameworkName": "timeline" }, { "matchId": "7468a4d1-1a27-4244-b920-6bafba63aa6f", "evidence": "Uses a world map to anchor specific case studies to geographic locations.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 13:36:17.777+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "frameworkName": "map-spatial" }, { "matchId": "3137dbcf-4b9c-456b-ac4b-b30d2601a347", "evidence": "The slide uses a three-stage process (Observe, Orient, Dominate) that mirrors the OODA loop military decision-making framework.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 13:36:13.557+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 15, "frameworkName": "ooda-loop" }, { "matchId": "774b57b7-2238-4acb-8e81-1dd9a25764ab", "evidence": "The slide uses the structure 'Observe', 'Orient', and 'Dominate' (a variation of the OODA loop).", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 13:36:14.6+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 16, "frameworkName": "OODA-loop" }, { "matchId": "037b218e-51f8-4a14-aa20-cac27e4695ac", "evidence": "Side-by-side comparison of defense and commercial use cases", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 13:36:13.31+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 17, "frameworkName": "comparison-frame" }, { "matchId": "c6de353b-c3aa-4dc4-afc8-60fb69c86a16", "evidence": "Visual placement of the company between two extremes of competitors", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 13:36:13.943+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 20, "frameworkName": "positioning-map" }, { "matchId": "cdfd41d8-6a12-4504-81ef-988427ad77e1", "evidence": "Four distinct strategic vectors presented as a growth roadmap", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 13:36:20.804+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 22, "frameworkName": "growth-strategy-pillars" }, { "matchId": "a564263d-64ba-42e0-ba0f-607504c7f3dd", "evidence": "Circular diagram showing 5 steps of the channel partner program", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 13:36:14.7+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 25, "frameworkName": "process" }, { "matchId": "0a2007f8-6323-4269-8927-f24bbd77b982", "evidence": "The slide explicitly titles the strategy 'Land and Expand' and shows growth metrics over time for specific customer segments.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 13:36:17.588+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 26, "frameworkName": "land-and-expand" }, { "matchId": "f469d3e6-cc45-46c5-aa6d-bc0c4b015cff", "evidence": "Comparison of selected peers based on industry, business model, and financial metrics.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 13:36:20.347+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 34, "frameworkName": "peer-group-analysis" }, { "matchId": "1ff3badd-60a4-42ec-9b7c-f7b0faaefa37", "evidence": "Comparison of company metrics against industry peers", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 13:36:16.238+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 35, "frameworkName": "peer_benchmark" }, { "matchId": "44a564e4-231c-4bb0-8fb6-9123f5b87446", "evidence": "Explicitly labeled as 'Rule of 40 Analysis' in the chart title.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 13:36:16.419+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 36, "frameworkName": "Rule of 40" }, { "matchId": "94ba1219-b59e-4fcc-85ae-bf379175304b", "evidence": "Direct comparison of valuation multiples against a defined peer group.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 13:36:16.269+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 37, "frameworkName": "comparison_frame" }, { "matchId": "527637c9-0283-442b-a987-2416ab7f2599", "evidence": "Comparing transaction value to peer valuation multiples to show upside.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 13:36:16.047+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 38, "frameworkName": "comparison_frame" } ], "patterns": [] }, "storymakers": null, "score": null, "review": null, "activistThesis": null, "pitchdeck": { "metadata": null, "profile": null }, "slides": [ { "page": 1, "type": "setup", "function": "front_matter", "imagePath": "https://imgproxy.kitesheet.com/qZ0j_FT_snsLln4AKJ3mKM9kRMuc64cIiEir_1WPMiw/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy85MjlkMzY5YWRkYjY2YzY2ZWE5MWMzN2NlNzg0MTMzYy9wMDAxLmpwZw", "rawType": "cover", "block": null, "metadata": { "slideType": "cover", "slideTypeCanon": { "name": "Cover", "slug": "cover", "status": "active", "canonId": "019de52d-05f2-729d-9f93-e0504f0a2410", "version": 1, "description": null }, "function": "front_matter", "functionCanon": { "name": "Front matter", "slug": "front_matter", "status": "active", "canonId": "019de52d-133d-73f0-9e26-201eda96b098", "version": 1, "description": null }, "density": "balanced", "densityScore": 36, "componentCount": 5, "textChars": 207, "nDataPoints": 0, "notes": null, "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:12.719+00", "seconds": 4.128, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/1", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-1", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.02, "w": 0.25, "x": 0.74, "y": 0.97 }, "kind": "disclaimer", "text": "© 2021 BigBear.ai. All rights reserved | BigBear.ai Proprietary.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.719+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7e531c06-932b-4b5c-8bcf-0292fb7e093a", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.45, "x": 0.05, "y": 0.75 }, "kind": "image", "text": "BIGBEAR.AI DATA-DRIVEN DECISION DOMINANCE", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo", "slug": "logo", "status": "active", "canonId": "019de52c-fdaf-743d-94c4-d7c6a0e55302", "version": 1, "description": null }, "framework": null }, "subkind": "logo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.719+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fed1a087-5062-4324-a80c-daefb76de41e", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.1, "x": 0.08, "y": 0.555 }, "kind": "paragraph", "text": "June 2021", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.719+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "57400972-71e6-4a60-878b-fd2de6976a77", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.6, "x": 0.08, "y": 0.37 }, "kind": "title", "text": "BIGBEAR.AI TO BECOME PUBLICLY TRADED COMPANY VIA MERGER WITH GIGCAPITAL4", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.719+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "36aa71d5-1588-4980-be2f-1dbc088fe597", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.25, "x": 0.68, "y": 0.75 }, "kind": "title", "text": "Investor Presentation", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "019de52c-fb09-739d-900c-815b0d9ac526", "version": 1, "description": null }, "framework": null }, "subkind": "subtitle", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.719+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a3ee89aa-f382-47ad-9cae-cd08d0acb670", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Slide recipe: Cover", "slug": "cover-slide", "status": "active", "bestFor": null, "canonId": "019df269-2a08-767d-9128-e7431e6fe8a3", "version": 1, "bodyDocId": "019df269-29e5-7738-b5fa-6892e5dc8e65", "description": "The first ten seconds. Build it deliberately.", "familyLabel": "slide-recipe", "categoryName": "Slide", "categorySlug": "slide" }, "agent": "designer", "layer": "slide", "agents": [ "designer" ], "matchId": "1f585916-f15b-422e-b9a7-6f46d63539a4", "evidence": "BIGBEAR.AI TO BECOME PUBLICLY TRADED COMPANY VIA MERGER WITH GIGCAPITAL4", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 23:39:40.795223+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 1, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [], "loops": [], "thumbSrc": "https://imgproxy.kitesheet.com/wQTESuwsyKqfjoy8i6LY4h5T4ikApf5dvNXFrzr3kMc/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy85MjlkMzY5YWRkYjY2YzY2ZWE5MWMzN2NlNzg0MTMzYy9wMDAxLmpwZw", "imagePathAlt": "https://imgproxy.kitesheet.com/gwhyBEiS5VjgyYBoHuOyGUCeKSozTd5vDW6ALk6Syzc/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy85MjlkMzY5YWRkYjY2YzY2ZWE5MWMzN2NlNzg0MTMzYy9wMDAxLnBuZw", "thumbSrcAlt": "https://imgproxy.kitesheet.com/Yh5fU877nYESvrztvaS-jJoWIFz1fqkQlNQ-BrOM7Vg/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy85MjlkMzY5YWRkYjY2YzY2ZWE5MWMzN2NlNzg0MTMzYy9wMDAxLnBuZw" }, { "page": 2, "type": "setup", "function": "other", "rawType": "disclaimer", "block": null, "metadata": { "slideType": "disclaimer", "slideTypeCanon": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "019de52d-0801-727b-b98a-5ed095aeee78", "version": 1, "description": null }, "function": "other", "functionCanon": { "name": "Other (fallback)", "slug": "other", "status": "active", "canonId": "019de52d-15e1-75bc-99dc-07732380e2ce", "version": 1, "description": null }, "density": "sparse", "densityScore": 14, "componentCount": 2, "textChars": 202, "nDataPoints": 0, "notes": null, "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:11.209+00", "seconds": 2.501, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/2", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-2", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.65, "w": 0.906, "x": 0.047, "y": 0.15 }, "kind": "disclaimer", "text": "This investor presentation (\"Presentation\") is for informational purposes only to assist interested parties in making their own evaluation with respect to the proposed Business Combination...", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:11.209+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "62756833-a735-4011-b010-ceb038804dfc", "parentComponentId": null }, { "bbox": { "h": 0.065, "w": 0.24, "x": 0.047, "y": 0.065 }, "kind": "title", "text": "Safe Harbor", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:11.209+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ca883a02-94ba-40f5-af9b-fde9df20865d", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 3, "type": "setup", "function": "other", "rawType": "appendix_disclosure", "block": null, "metadata": { "slideType": "appendix_disclosure", "slideTypeCanon": { "name": "Appendix disclosure", "slug": "appendix_disclosure", "status": "active", "canonId": "019de52d-07b2-7549-8e8b-932a19f6e616", "version": 1, "description": null }, "function": "other", "functionCanon": { "name": "Other (fallback)", "slug": "other", "status": "active", "canonId": "019de52d-15e1-75bc-99dc-07732380e2ce", "version": 1, "description": null }, "density": "sparse", "densityScore": 17, "componentCount": 2, "textChars": 242, "nDataPoints": 0, "notes": null, "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:11.122+00", "seconds": 2.276, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/3", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-3", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.75, "w": 0.908, "x": 0.046, "y": 0.15 }, "kind": "disclaimer", "text": "USE OF PROJECTIONS... IMPORTANT INFORMATION FOR INVESTORS AND STOCKHOLDERS... PARTICIPANTS IN SOLICITATION... USE OF NON-GAAP FINANCIAL MEASURES... SEGMENT REPORTING... INDUSTRY AND MARKET DATA... TRADEMARKS AND TRADE NAMES", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:11.122+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "726049dc-b6e7-46b0-84c2-655b1e940e8f", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.35, "x": 0.046, "y": 0.065 }, "kind": "title", "text": "Safe Harbor (cont.)", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:11.122+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d55adf35-5692-466b-837d-79367d387246", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 4, "type": "appendix", "title": "This slide outlines the key financial and structural components of a SPAC merger transaction.", "function": "summarize", "rawType": "other", "block": null, "metadata": { "slideType": "other", "slideTypeCanon": { "name": "Other (fallback)", "slug": "other", "status": "active", "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "dense", "densityScore": 74, "componentCount": 6, "textChars": 822, "nDataPoints": 5, "notes": "This slide outlines the key financial and structural components of a SPAC merger transaction.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:12.373+00", "seconds": 3.328, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/4", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-4", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.12, "w": 0.45, "x": 0.505, "y": 0.265 }, "kind": "list", "text": "Fueling commercial growth projects, sales and marketing expansion, research and development to accelerate product offerings, and inorganic growth through accretive M&A", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.373+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5d714f09-1c90-4b79-9872-f36b1b8fcbde", "parentComponentId": null }, { "bbox": { "h": 0.075, "w": 0.425, "x": 0.047, "y": 0.265 }, "kind": "list", "text": "BigBear.ai to become publicly traded company via merger with GigCapital4, Inc.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.373+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "647978b0-3738-429c-9a8b-ad89d3ac5cf0", "parentComponentId": null }, { "bbox": { "h": 0.18, "w": 0.425, "x": 0.047, "y": 0.525 }, "kind": "list", "text": "Valuation implies a pro forma Enterprise Value of $1,565 million (5.6x 2022E revenue)\nExisting stockholders of BigBear.ai, including AE Industrial Partners, LP, will hold ~73% of the pro forma equity of the Company at close", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.373+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a2f5ce4c-ef40-4c42-8e75-20c8e8be2dd5", "parentComponentId": null }, { "bbox": { "h": 0.28, "w": 0.45, "x": 0.505, "y": 0.525 }, "kind": "list", "text": "Existing stockholders are expected to receive ~73% of the pro forma equity\n$359M cash held in trust\n$200M convertible note\n$326M of cash to balance sheet expected at closing (net of transaction fees and expenses, repayment of BigBear.ai indebtedness, and secondary proceeds)", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.373+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "be1d89b8-ffc1-4fb1-9828-82b0fb9c3fab", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.25, "x": 0.74, "y": 0.97 }, "kind": "source-note", "text": "(1) Dollar figures and percentages rounded for presentation.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.373+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d8ebd533-2788-4885-8ddf-8455230a083a", "parentComponentId": null }, { "bbox": { "h": 0.085, "w": 0.425, "x": 0.047, "y": 0.065 }, "kind": "title", "text": "Transaction Overview", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.373+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7e3c022e-ef8a-4335-8b24-0e719354f3a3", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "2x2 matrix", "slug": "matrix-2x2", "status": "active", "bestFor": null, "canonId": "019dd9e1-50ab-72d1-8afb-3ab0a38e32a8", "version": 1, "bodyDocId": null, "description": "BCG matrix, importance/urgency, any axes-and-quadrants frame.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "d75a4fee-5d2b-48f0-9071-e6b8756e7b99", "evidence": "Valuation implies a pro forma Enterprise Value of $1,565 million (5.6x 2022E revenue)", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 23:39:36.208552+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 4, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 5, "type": "setup", "title": "Includes a timeline of SPAC transactions and logos of associated companies.", "function": "summarize", "rawType": "executive_summary", "block": null, "metadata": { "slideType": "executive_summary", "slideTypeCanon": { "name": "Executive summary", "slug": "executive_summary", "status": "active", "canonId": "019de52d-06be-73ff-81b3-f99fe7f0025e", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "dense", "densityScore": 73, "componentCount": 8, "textChars": 453, "nDataPoints": 1, "notes": "Includes a timeline of SPAC transactions and logos of associated companies.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:12.859+00", "seconds": 3.633, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/5", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-5", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.25, "w": 0.45, "x": 0.04, "y": 0.48 }, "kind": "diagram", "text": "Track Record of Successful SPAC Transactions", "attrs": null, "canon": { "kind": { "name": "Diagram", "slug": "diagram", "status": "active", "canonId": "019de52c-f9f0-734a-81de-15382ff28c65", "version": 1, "description": "Schematic or relational diagram." }, "tool": null, "subkind": { "name": "Timeline", "slug": "timeline", "status": "active", "canonId": "019de52d-03c5-73fc-84aa-4180cbf0f5cf", "version": 1, "description": null }, "framework": null }, "subkind": "timeline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.859+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9d5f8dff-f7ff-467b-84b6-108018982db8", "parentComponentId": null }, { "bbox": { "h": 0.18, "w": 0.08, "x": 0.58, "y": 0.22 }, "kind": "image", "text": "Dr. Avi Katz", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Headshot", "slug": "headshot", "status": "active", "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf", "version": 1, "description": null }, "framework": null }, "subkind": "headshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.859+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "766381ac-4400-4280-a71d-d8e2fb46b6fc", "parentComponentId": null }, { "bbox": { "h": 0.18, "w": 0.08, "x": 0.58, "y": 0.46 }, "kind": "image", "text": "Dr. Raluca Dinu", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Headshot", "slug": "headshot", "status": "active", "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf", "version": 1, "description": null }, "framework": null }, "subkind": "headshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.859+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a7e07e35-c59d-49d7-8542-22610d13d88e", "parentComponentId": null }, { "bbox": { "h": 0.18, "w": 0.08, "x": 0.58, "y": 0.7 }, "kind": "image", "text": "Neil Miotto", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Headshot", "slug": "headshot", "status": "active", "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf", "version": 1, "description": null }, "framework": null }, "subkind": "headshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.859+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e8304c25-19ce-400c-86ce-76e4edc5ed8c", "parentComponentId": null }, { "bbox": { "h": 0.65, "w": 0.28, "x": 0.68, "y": 0.22 }, "kind": "list", "text": "Leadership team bios for Dr. Avi Katz, Dr. Raluca Dinu, and Neil Miotto.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.859+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5b342804-4a65-48b2-aa99-46e9ec162b8f", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.45, "x": 0.04, "y": 0.22 }, "kind": "paragraph", "text": "GigCapital4, Inc. (NASDAQ: GIGGU) is a $358.8M publicly traded Special Purpose Acquisition Company (\"SPAC\"). GigCapital4's IPO was completed in February 2021. Led by a proven management team of experienced entrepreneurs and executives.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.859+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f3874a81-8dc7-442e-a958-8aa82e65d113", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.15, "x": 0.82, "y": 0.96 }, "kind": "source-note", "text": "(1) Market data as of June 2, 2021.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.859+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b115ef5f-fdf1-48b7-a240-51f42861176c", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.4, "x": 0.04, "y": 0.06 }, "kind": "title", "text": "Overview of GigCapital4, Inc.", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.859+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "147b2423-4f83-4339-a155-df071566c7da", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Executive summary", "slug": "executive-summary", "status": "active", "bestFor": null, "canonId": "019dd9e1-4b63-72d5-9734-da757d91ca61", "version": 1, "bodyDocId": null, "description": "A condensed view of the entire argument on a single slide / block.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "df7a2031-c2bb-452a-85a0-7f8d9748d5ba", "evidence": "GigCapital4, Inc. (NASDAQ: GIGGU) is a $358.8M publicly traded Special Purpose Acquisition Company", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 23:39:36.2902+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [ { "matchId": "aaad5ff2-8764-415a-9724-fad1dfe5034d", "evidence": "Chronological display of SPAC transactions", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 13:36:12.859+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "frameworkName": "timeline" } ], "arcBeats": [], "loops": [], "locked": true }, { "page": 6, "type": "setup", "function": "other", "rawType": "team_bio", "block": null, "metadata": { "slideType": "team_bio", "slideTypeCanon": { "name": "Team bio", "slug": "team_bio", "status": "active", "canonId": "019de52d-0a7d-7394-ae5b-037478e71f1e", "version": 1, "description": null }, "function": "other", "functionCanon": { "name": "Other (fallback)", "slug": "other", "status": "active", "canonId": "019de52d-15e1-75bc-99dc-07732380e2ce", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 83, "componentCount": 10, "textChars": 887, "nDataPoints": 0, "notes": null, "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:12.85+00", "seconds": 3.559, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/6", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-6", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.25, "w": 0.25, "x": 0.69, "y": 0.16 }, "kind": "image", "text": "Josh Kinley", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Headshot", "slug": "headshot", "status": "active", "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf", "version": 1, "description": null }, "framework": null }, "subkind": "headshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.85+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "15779292-227b-43c6-941e-107a0649d57e", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.25, "x": 0.05, "y": 0.16 }, "kind": "image", "text": "Dr. Reggie Brothers", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Headshot", "slug": "headshot", "status": "active", "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf", "version": 1, "description": null }, "framework": null }, "subkind": "headshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.85+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "21f88083-e3e0-465e-8286-455d9cd37abb", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.25, "x": 0.37, "y": 0.16 }, "kind": "image", "text": "Brian Frutchey", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Headshot", "slug": "headshot", "status": "active", "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf", "version": 1, "description": null }, "framework": null }, "subkind": "headshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.85+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "538ee5ed-6c7b-4d62-9fcf-da660d2a96b2", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.25, "x": 0.37, "y": 0.7 }, "kind": "image", "text": "Relevant Experience logos for Brian Frutchey", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo grid", "slug": "logo-grid", "status": "active", "canonId": "019de52c-fdd7-7409-93e5-81280a8ca215", "version": 1, "description": null }, "framework": null }, "subkind": "logo-grid", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.85+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "31b8a59f-7819-4827-b6dc-c15eae37a750", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.25, "x": 0.05, "y": 0.7 }, "kind": "image", "text": "Relevant Experience logos for Dr. Reggie Brothers", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo grid", "slug": "logo-grid", "status": "active", "canonId": "019de52c-fdd7-7409-93e5-81280a8ca215", "version": 1, "description": null }, "framework": null }, "subkind": "logo-grid", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.85+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cc00678d-df6b-4d18-ab97-f7a441f0c21e", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.25, "x": 0.69, "y": 0.7 }, "kind": "image", "text": "Relevant Experience logos for Josh Kinley", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo grid", "slug": "logo-grid", "status": "active", "canonId": "019de52c-fdd7-7409-93e5-81280a8ca215", "version": 1, "description": null }, "framework": null }, "subkind": "logo-grid", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.85+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e3af89c0-fb30-4232-a7a4-f6b520525345", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.25, "x": 0.06, "y": 0.41 }, "kind": "list", "text": "30+ years of experience as a science and technology innovator. Former CTO of Peraton, Under Secretary for S&T at DHS, and Dep Asst Sec Defense for Research. Awarded the Wash100, an award for the most influential leaders in the government market, in 2021", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.85+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "34ee6312-863a-4c70-a628-c8bcb446ea0c", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.25, "x": 0.7, "y": 0.41 }, "kind": "list", "text": "20+ years of experience in government finance and accounting. Co-Founder and Former CFO of PCI. Deep insight into government contracting process", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.85+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4030903d-13ca-4621-8450-52bab0f3adb2", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.25, "x": 0.38, "y": 0.41 }, "kind": "list", "text": "25+ years of experience in technology focusing on Big Data analytics for the defense community. Created first distributed analytics engine for Endeca, open-source exploitation environment for the Joint Staff, and other ML powered big data products. Managed data science investments for IN-Q-TEL", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.85+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bb9bd4d8-7cf4-4c98-8491-b657c970e29f", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.35, "x": 0.04, "y": 0.06 }, "kind": "title", "text": "Today's Presenters", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.85+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f4b2fc64-98b6-4ac2-abe0-4f6403c63b02", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 6, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 6, "name": "Team", "beatId": "ab5386f3-fd1c-40bb-ab0f-bf4117239194", "matchId": "93586a86-b056-43e1-868d-d3a1c9f208f8", "beatType": { "name": "Team", "slug": "sequoia-pitch-team", "status": "active", "canonId": "019dd9b8-23c9-746f-aaf9-2f5d83892cf3", "version": 1, "description": null }, "evidence": "Slide 6 presents the presenters' bios.", "position": 3, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 7, "type": "setup", "title": "The slide uses a central logo and surrounding tech icons to convey a global, data-centric mission.", "function": "inspire_vision", "rawType": "mission", "block": null, "metadata": { "slideType": "mission", "slideTypeCanon": { "name": "Mission", "slug": "mission", "status": "active", "canonId": "019de52d-0fce-7496-b34c-18fd6a6e3310", "version": 1, "description": null }, "function": "inspire_vision", "functionCanon": { "name": "Inspire vision", "slug": "inspire_vision", "status": "active", "canonId": "019de52d-16d0-7756-83de-376eeac6fa40", "version": 1, "description": null }, "density": "balanced", "densityScore": 25, "componentCount": 4, "textChars": 156, "nDataPoints": 0, "notes": "The slide uses a central logo and surrounding tech icons to convey a global, data-centric mission.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:11.857+00", "seconds": 2.537, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/7", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-7", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.5, "w": 0.92, "x": 0.04, "y": 0.15 }, "kind": "image", "text": "Various technology and data icons", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Icon grid", "slug": "icon-grid", "status": "active", "canonId": "019de52c-fdfe-749d-9990-1db465a3eed4", "version": 1, "description": null }, "framework": null }, "subkind": "icon-grid", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:11.857+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8abe3bf0-3e3e-4805-bfb2-74008001d19d", "parentComponentId": null }, { "bbox": { "h": 0.483, "w": 0.178, "x": 0.411, "y": 0.157 }, "kind": "image", "text": "BigBear.ai logo", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo", "slug": "logo", "status": "active", "canonId": "019de52c-fdaf-743d-94c4-d7c6a0e55302", "version": 1, "description": null }, "framework": null }, "subkind": "logo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:11.857+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4d6b81bf-7d75-486d-8d83-2d9743f1ade2", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.594, "x": 0.203, "y": 0.65 }, "kind": "paragraph", "text": "Your World is a Battle Ground. Know your World. Shape your World. Data-Driven Decision Dominance.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:11.857+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1059cd3a-25fa-4e89-8984-ada2bfc38ea2", "parentComponentId": null }, { "bbox": { "h": 0.045, "w": 0.145, "x": 0.048, "y": 0.075 }, "kind": "title", "text": "Our Mission", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:11.857+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c714029a-c076-4770-ab78-58a59f8594de", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 8, "type": "setup", "title": "The slide uses a bulleted list to summarize key investment highlights including market size, strategy, customer base, and financial health.", "function": "summarize", "rawType": "executive_summary", "block": null, "metadata": { "slideType": "executive_summary", "slideTypeCanon": { "name": "Executive summary", "slug": "executive_summary", "status": "active", "canonId": "019de52d-06be-73ff-81b3-f99fe7f0025e", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "balanced", "densityScore": 48, "componentCount": 4, "textChars": 455, "nDataPoints": 3, "notes": "The slide uses a bulleted list to summarize key investment highlights including market size, strategy, customer base, and financial health.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:12.167+00", "seconds": 2.594, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/8", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-8", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.9, "x": 0.05, "y": 0.2 }, "kind": "list", "text": "Modular end-to-end offering; Large addressable market growth; ~40% CAGR; ~$310B by 2026; Land & expand strategy; Established defense/intel base; Growing commercial sector; Positive financial metrics; $500+M backlog; 100% win rate; Experienced team.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.167+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d30cf336-af1e-4b34-9373-033323b51d30", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.15, "x": 0.8, "y": 0.95 }, "kind": "source-note", "text": "(1) MarketsAndMarkets, Inc., May, 2021.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.167+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2f8bf668-ec57-4abd-8299-89906b194ce0", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.9, "x": 0.05, "y": 0.85 }, "kind": "title", "text": "AI POWERED TECHNOLOGY SUITE SERVING GROWING PUBLIC & PRIVATE SECTOR DEMAND TO OPTIMIZE DECISIONS", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.167+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e9ff551b-7553-4712-b57a-b2bb2545df23", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.7, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Big Data Analytics Powered by Artificial Intelligence & Machine Learning", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.167+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "66e33063-6c95-4bb5-b20c-55983c35cdda", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Executive summary", "slug": "executive-summary", "status": "active", "bestFor": null, "canonId": "019dd9e1-4b63-72d5-9734-da757d91ca61", "version": 1, "bodyDocId": null, "description": "A condensed view of the entire argument on a single slide / block.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "a8890a32-4641-4dd5-82e3-e51e3c31dfe8", "evidence": "Modular end-to-end offering; Large addressable market growth; ~40% CAGR; ~$310B by 2026; Land & expand strategy; Established defense/intel base; Growing commercial sector; Positive financial metrics; $500+M", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 23:39:36.454655+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 9, "type": "evidence", "title": "Uses a map-based visual to anchor specific intelligence use cases to geographic locations.", "function": "show_traction", "rawType": "traction", "block": null, "metadata": { "slideType": "traction", "slideTypeCanon": { "name": "Traction", "slug": "traction", "status": "active", "canonId": "019de52d-0edd-72ab-820f-3ebc71a9c542", "version": 1, "description": null }, "function": "show_traction", "functionCanon": { "name": "Show traction", "slug": "show_traction", "status": "active", "canonId": "019de52d-16a8-756a-9b38-a7d35420561d", "version": 1, "description": null }, "density": "dense", "densityScore": 50, "componentCount": 6, "textChars": 308, "nDataPoints": 0, "notes": "Uses a map-based visual to anchor specific intelligence use cases to geographic locations.", "elementsJson": null, "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:17.777+00", "seconds": 8.103, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/9", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-9", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.04, "w": 0.25, "x": 0.58, "y": 0.68 }, "kind": "callout", "text": "Product leveraged by CENTCOM to shape Iranian engagement strategy", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:17.777+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "042da9ac-1c54-4777-9714-b14006027fa7", "parentComponentId": null }, { "bbox": { "h": 0.035, "w": 0.13, "x": 0.192, "y": 0.415 }, "kind": "callout", "text": "Predicted Russian invasion of Crimea", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:17.777+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "51b0cfd8-14e6-4925-802e-225f632dd23b", "parentComponentId": null }, { "bbox": { "h": 0.035, "w": 0.13, "x": 0.048, "y": 0.675 }, "kind": "callout", "text": "Detected fuel smuggling from Libya", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:17.777+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e02471eb-67ee-4fcc-b5b1-38094a10304b", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.5, "x": 0.25, "y": 0.25 }, "kind": "image", "text": null, "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Map", "slug": "map", "status": "active", "canonId": "019de52c-fe4d-77bd-b0a4-d72d58b9e5a4", "version": 1, "description": null }, "framework": null }, "subkind": "map", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:17.777+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c3c6d552-39b9-41fb-af18-1bac49075646", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.9, "x": 0.048, "y": 0.17 }, "kind": "paragraph", "text": "BigBear.ai's platform generates critical insights into complex situations where the cost of failure is significant", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:17.777+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b85b3c53-ef7e-49a7-8040-75bec01bd533", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.75, "x": 0.048, "y": 0.048 }, "kind": "title", "text": "Battle Tested to Perform in Complex, Real Time Environments", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:17.777+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b4030eec-ebe7-4111-ae9d-6abfc5d47f82", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "7468a4d1-1a27-4244-b920-6bafba63aa6f", "evidence": "Uses a world map to anchor specific case studies to geographic locations.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 13:36:17.777+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "frameworkName": "map-spatial" } ], "arcBeats": [], "loops": [], "locked": true }, { "page": 10, "type": "setup", "title": "The slide uses a grid of metrics to summarize company health.", "function": "summarize", "rawType": "executive_summary", "block": null, "metadata": { "slideType": "executive_summary", "slideTypeCanon": { "name": "Executive summary", "slug": "executive_summary", "status": "active", "canonId": "019de52d-06be-73ff-81b3-f99fe7f0025e", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 76, "componentCount": 10, "textChars": 361, "nDataPoints": 8, "notes": "The slide uses a grid of metrics to summarize company health.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:13.242+00", "seconds": 3.515, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/10", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-10", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.2, "x": 0.2, "y": 0.78 }, "kind": "metric", "text": "6M+ Predictions per Day", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.242+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "06ba4a95-33ea-49c3-b536-8ec4a14f0355", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.15, "x": 0.65, "y": 0.55 }, "kind": "metric", "text": "21 Years in Operation", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.242+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1991812b-581f-4bfe-b146-9d76f8fefcc4", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.25, "x": 0.32, "y": 0.55 }, "kind": "metric", "text": "100K Enterprise Decision Makers and Analysts Relying on Our Software", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.242+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1f8d8b77-a547-430b-8aea-3aceb71ea56b", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.2, "x": 0.06, "y": 0.55 }, "kind": "metric", "text": "$4.5B Near-Term Pipeline", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.242+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "577cbf3a-279c-4284-a122-77aa630a2524", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.2, "x": 0.06, "y": 0.32 }, "kind": "metric", "text": "$277M FY'22E Total Revenue", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.242+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "60ff19c1-47ba-4059-9314-0bdaaeaaba20", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.2, "x": 0.58, "y": 0.32 }, "kind": "metric", "text": "~$500M Contracted Backlog", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.242+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "650af549-d71b-42ec-9d02-b8d61268af42", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.2, "x": 0.45, "y": 0.78 }, "kind": "metric", "text": "300K Models Trained Per Year", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.242+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7484a65a-2568-439d-8429-4f540b69e127", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.2, "x": 0.32, "y": 0.32 }, "kind": "metric", "text": "63% FY'22E Revenue Growth", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.242+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "91e18fbd-c7a2-4a2c-bc56-3cfce3ec24c3", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.45, "x": 0.04, "y": 0.16 }, "kind": "paragraph", "text": "BigBear.ai, fueled by machine driven analytics, enables decision making dominance in real-time", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.242+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "be9300cb-2853-4479-a924-2a6b9f25e2b8", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.4, "x": 0.04, "y": 0.06 }, "kind": "title", "text": "BigBear.ai Company Snapshot", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.242+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e6a2affd-7596-4154-9f6e-5a7b23ebc316", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Executive summary", "slug": "executive-summary", "status": "active", "bestFor": null, "canonId": "019dd9e1-4b63-72d5-9734-da757d91ca61", "version": 1, "bodyDocId": null, "description": "A condensed view of the entire argument on a single slide / block.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "867531c6-1d23-45f3-ac7c-8d3a7af99eb3", "evidence": "BigBear.ai, fueled by machine driven analytics, enables decision making dominance in real-time", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 23:39:36.578106+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 10, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 11, "type": "setup", "title": "The central diagram is a custom hub-and-spoke infographic representing BigBear.ai at the center of five key market drivers.", "function": "establish_context", "rawType": "context", "block": null, "metadata": { "slideType": "context", "slideTypeCanon": { "name": "Context (pitchdeck)", "slug": "context", "status": "active", "canonId": "019de52d-1094-779e-9590-e4603e6a191c", "version": 1, "description": null }, "function": "establish_context", "functionCanon": { "name": "Establish context", "slug": "establish_context", "status": "active", "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf", "version": 1, "description": null }, "density": "balanced", "densityScore": 46, "componentCount": 4, "textChars": 458, "nDataPoints": 1, "notes": "The central diagram is a custom hub-and-spoke infographic representing BigBear.ai at the center of five key market drivers.", "elementsJson": null, "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:13.13+00", "seconds": 3.127, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/11", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-11", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.5, "x": 0.25, "y": 0.3 }, "kind": "diagram", "text": "Central hub with 5 spokes representing: Expanding Data Volumes, Velocity of Big Data, Variety of Critical Data, Proliferating Cyber Threats, Increasing Demand for Informed Decisions", "attrs": null, "canon": { "kind": { "name": "Diagram", "slug": "diagram", "status": "active", "canonId": "019de52c-f9f0-734a-81de-15382ff28c65", "version": 1, "description": "Schematic or relational diagram." }, "tool": null, "subkind": { "name": "Hub and spoke", "slug": "hub-spoke", "status": "active", "canonId": "019de52d-04db-73e6-81ca-a234f2f23fc1", "version": 1, "description": null }, "framework": null }, "subkind": "hub-spoke", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.13+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "96024198-6160-41b8-831c-8fccc4675ff2", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.18 }, "kind": "paragraph", "text": "The proliferation of data, if harnessed through AI / ML, could result in a global economic gain of ~$16T by 2030 – organizations that don't leverage AI / ML may pay a steep cost", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.13+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8a484660-eb9e-4f5a-a1ac-c21afb453360", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.2, "x": 0.78, "y": 0.97 }, "kind": "source-note", "text": "Source: IDC, PwC, FT and Gartner Research.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.13+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d393a3d1-5483-44d9-8be6-0039d5b3d0c8", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.7, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Our Customers Operate in Complex, Unforgiving Environments", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.13+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "329367b0-bbd7-4ee1-96e6-b97106b4f4f0", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 12, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 11, "name": "Problem", "beatId": "aadca1fd-76bb-43c8-b4b1-717bbd62b49d", "matchId": "93586a86-b056-43e1-868d-d3a1c9f208f8", "beatType": { "name": "Problem", "slug": "sequoia-pitch-problem", "status": "active", "canonId": "019dd9b8-1ed4-767b-8e05-40e733bd2311", "version": 1, "description": null }, "evidence": "Slides 11-12 describe the complex environments and customer needs.", "position": 0, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 12, "from": 11, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "593ac132-fb56-49af-96ab-7f949bd6241e", "evidence": "Slides 11-12 imply the costs of inaction in complex environments.", "position": 0, "objective": "What are the consequences of not adopting BigBear.ai's solutions?", "confidence": 0.6, "extraction": { "at": "2026-07-16 22:14:14.419971+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 12, "type": "resolution", "title": "Includes four screenshots of software interfaces at the bottom.", "function": "present_solution", "rawType": "solution", "block": null, "metadata": { "slideType": "solution", "slideTypeCanon": { "name": "Solution", "slug": "solution", "status": "active", "canonId": "019de52d-0eb5-72ff-8b70-ba70a4199282", "version": 1, "description": null }, "function": "present_solution", "functionCanon": { "name": "Present solution", "slug": "present_solution", "status": "active", "canonId": "019de52d-15b8-71da-bd23-2b767850cbce", "version": 1, "description": null }, "density": "balanced", "densityScore": 30, "componentCount": 4, "textChars": 235, "nDataPoints": 0, "notes": "Includes four screenshots of software interfaces at the bottom.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:12.404+00", "seconds": 2.34, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/12", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-12", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.25, "w": 0.9, "x": 0.05, "y": 0.7 }, "kind": "image", "text": "Product interface screenshots", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Screenshot", "slug": "screenshot", "status": "active", "canonId": "019de52c-fd87-7509-8391-3d79fb339379", "version": 1, "description": null }, "framework": null }, "subkind": "screenshot", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.404+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bc2ce19c-54e0-439d-a351-84fa971ef933", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.4, "x": 0.05, "y": 0.25 }, "kind": "list", "text": "Data Ingestion, Enrichment & Processing; Artificial Intelligence & Machine Learning; Predictive Analytics & Visualization", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.404+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "20df4911-2a60-4e58-b460-2868e6a07eca", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.35, "x": 0.6, "y": 0.25 }, "kind": "list", "text": "Defense; Intelligence; Enterprise", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.404+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a79f6928-dba1-4369-abac-0a8347527430", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "We Provide Customers With Mission Critical Solutions", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:12.404+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "296cf0f3-d766-4bc7-a368-452a0c694419", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 12, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 11, "name": "Problem", "beatId": "aadca1fd-76bb-43c8-b4b1-717bbd62b49d", "matchId": "93586a86-b056-43e1-868d-d3a1c9f208f8", "beatType": { "name": "Problem", "slug": "sequoia-pitch-problem", "status": "active", "canonId": "019dd9b8-1ed4-767b-8e05-40e733bd2311", "version": 1, "description": null }, "evidence": "Slides 11-12 describe the complex environments and customer needs.", "position": 0, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 12, "from": 11, "loop": { "name": "27_cost_of_inaction", "slug": "27-cost-of-inaction", "status": "active", "bestFor": "Urgent budget requests, compliance, risk mitigation", "canonId": "019dd956-70d1-7395-a15b-857ba858b394", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "description": "Quantify what happens if the audience does nothing", "familyLabel": null }, "matchId": "593ac132-fb56-49af-96ab-7f949bd6241e", "evidence": "Slides 11-12 imply the costs of inaction in complex environments.", "position": 0, "objective": "What are the consequences of not adopting BigBear.ai's solutions?", "confidence": 0.6, "extraction": { "at": "2026-07-16 22:14:14.419971+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 13, "type": "resolution", "title": "Uses a growth curve visual to represent market expansion.", "function": "size_opportunity", "rawType": "market_sizing", "block": null, "metadata": { "slideType": "market_sizing", "slideTypeCanon": { "name": "Market sizing", "slug": "market_sizing", "status": "active", "canonId": "019de52d-08c8-756c-8664-733b73a7ee7b", "version": 1, "description": null }, "function": "size_opportunity", "functionCanon": { "name": "Size opportunity", "slug": "size_opportunity", "status": "active", "canonId": "019de52d-147b-7568-8828-a74a27697618", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 83, "componentCount": 10, "textChars": 570, "nDataPoints": 2, "notes": "Uses a growth curve visual to represent market expansion.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:13.611+00", "seconds": 3.188, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/13", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-13", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.9, "x": 0.05, "y": 0.18 }, "kind": "chart", "text": "Growth curve", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Line chart", "slug": "line", "status": "active", "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677", "version": 1, "description": null }, "framework": null }, "subkind": "line", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.611+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "24553f8e-c711-48cb-98f6-1f308c58340e", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.2, "x": 0.75, "y": 0.4 }, "kind": "list", "text": "COMMERCIAL EXPANSION: INFRASTRUCTURE / ENERGY, LOGISTICS, MEDIA, HEALTHCARE, FINANCIAL / INSURANCE", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.611+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "649e9917-dc85-48e5-91ef-54f27d7d1f61", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.25, "x": 0.08, "y": 0.68 }, "kind": "list", "text": "Organic growth from existing solutions and expansion of product offerings, including through M&A", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.611+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8a9b1a18-2e78-4a32-94d5-82db87f0fc97", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.25, "x": 0.41, "y": 0.64 }, "kind": "list", "text": "Targeting critical and high-growth market arenas such as business intelligence & analytics tools, AI / ML data management and integration, and next-gen cybersecurity", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.611+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "abcb7413-12ba-40a9-97a1-155f60131ce4", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.15, "x": 0.43, "y": 0.25 }, "kind": "metric", "text": "$109B+", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.611+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3a366d1f-29b7-4243-a861-183bc5ca2654", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.15, "x": 0.12, "y": 0.45 }, "kind": "metric", "text": "$72B+", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.611+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f86dc9bb-3639-4375-a870-848ed278710e", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.25, "x": 0.08, "y": 0.53 }, "kind": "paragraph", "text": "TAM Opportunity Today", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.611+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0f9f5631-328c-4649-a2f9-87d7c3af84ab", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.2, "x": 0.41, "y": 0.34 }, "kind": "paragraph", "text": "2024E TAM with Further Penetration into Adjacent Markets", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.611+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a4421e83-9824-44c1-8e4a-45880901e48b", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.3, "x": 0.68, "y": 0.97 }, "kind": "source-note", "text": "Source: NextFed and International Data Corporation Market Analysis.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.611+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8b0e8782-d2bb-40f1-8741-f7442b874da5", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.45, "x": 0.04, "y": 0.06 }, "kind": "title", "text": "Large and Rapidly Growing Addressable Market", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.611+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ddf5804f-44eb-410d-832f-628fbbcb6990", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 14, "type": "setup", "title": "Includes a mix of quantitative workforce metrics and a grid of corporate culture/recognition logos.", "function": "summarize", "rawType": "team_bio", "block": null, "metadata": { "slideType": "team_bio", "slideTypeCanon": { "name": "Team bio", "slug": "team_bio", "status": "active", "canonId": "019de52d-0a7d-7394-ae5b-037478e71f1e", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 76, "componentCount": 8, "textChars": 495, "nDataPoints": 4, "notes": "Includes a mix of quantitative workforce metrics and a grid of corporate culture/recognition logos.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:13.99+00", "seconds": 3.523, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/14", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-14", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.25, "w": 0.25, "x": 0.55, "y": 0.315 }, "kind": "chart", "text": "550+ Total Employees", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Pie chart", "slug": "pie", "status": "active", "canonId": "019de52c-ffdb-71bb-a800-5c5ab9f1c373", "version": 1, "description": null }, "framework": null }, "subkind": "pie", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.99+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a56c500d-d17b-4251-9c57-f0b5f0ce25d5", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.45, "x": 0.52, "y": 0.72 }, "kind": "image", "text": "Culture & Employee Recognition Awards", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo grid", "slug": "logo-grid", "status": "active", "canonId": "019de52c-fdd7-7409-93e5-81280a8ca215", "version": 1, "description": null }, "framework": null }, "subkind": "logo-grid", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.99+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "92fedf48-8c82-477e-b0f3-8ba306550dac", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.15, "x": 0.81, "y": 0.32 }, "kind": "list", "text": "64% TS & TS / SCI Employees Across Numerous Disciplines: Software Engineering, Software Development, Data Science – AI / ML, Data Architecture, Analytics Engineering", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.99+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "dc1d1cb5-2b40-4978-9237-1a42f873962d", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.15, "x": 0.05, "y": 0.285 }, "kind": "metric", "text": "92% Secret+ Cleared Employees", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.99+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "44bab4e8-f0e5-4133-8e02-e6101b061305", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.15, "x": 0.35, "y": 0.285 }, "kind": "metric", "text": "90%+ Employee Retention", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.99+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4b023a7e-b00f-4939-8487-d6485a94ab86", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.15, "x": 0.2, "y": 0.285 }, "kind": "metric", "text": "175+ Advanced Degrees (including 7 PhDs)", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.99+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "66dd855c-5614-4dee-9b9a-f08d09761712", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.65, "x": 0.04, "y": 0.16 }, "kind": "title", "text": "Skilled and cleared, mission-focused employees with experience working in high pressure critically important situations", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.99+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "73325150-c228-402e-97e0-42108945cc02", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.92, "x": 0.04, "y": 0.06 }, "kind": "title", "text": "Client-focused, Specialized Workforce Builds Customer Intimacy", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.99+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "acffe67a-b4df-4006-9c73-3860ff06f989", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Audience Definition", "slug": "audience-definition", "status": "active", "bestFor": null, "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756", "version": 1, "bodyDocId": null, "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "ab33aff3-d4e1-4a52-b96f-428e2710a70c", "evidence": "Client-focused, Specialized Workforce Builds Customer Intimacy", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 23:39:44.394185+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 14, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "List presentation", "slug": "list-presentation", "status": "active", "bestFor": null, "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1", "version": 1, "bodyDocId": null, "description": "Bulleted, numbered, or checklist enumerations.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "b9a85a96-6a02-4122-b4f5-54b220a2c10b", "evidence": "list/bullet: 64% TS & TS / SCI Employees Across Numerous Disciplines: Software Engineering, Software Development, Data Science – AI / ML, Data Architecture, Analytics Engineering", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-16 23:39:44.433975+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 14, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 15, "type": "resolution", "title": "The slide adapts the OODA loop (Observe, Orient, Decide, Act) into a proprietary 'Observe, Orient, Dominate' framework.", "function": "present_solution", "rawType": "solution", "block": null, "metadata": { "slideType": "solution", "slideTypeCanon": { "name": "Solution", "slug": "solution", "status": "active", "canonId": "019de52d-0eb5-72ff-8b70-ba70a4199282", "version": 1, "description": null }, "function": "present_solution", "functionCanon": { "name": "Present solution", "slug": "present_solution", "status": "active", "canonId": "019de52d-15b8-71da-bd23-2b767850cbce", "version": 1, "description": null }, "density": "balanced", "densityScore": 40, "componentCount": 5, "textChars": 174, "nDataPoints": 3, "notes": "The slide adapts the OODA loop (Observe, Orient, Decide, Act) into a proprietary 'Observe, Orient, Dominate' framework.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:13.557+00", "seconds": 3.047, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/15", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-15", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.9, "x": 0.05, "y": 0.15 }, "kind": "framework", "text": "Observe, Orient, Dominate process flow", "attrs": null, "canon": { "kind": { "name": "Framework", "slug": "framework", "status": "active", "canonId": "019de52c-fa18-77c6-b10a-ccb8277ac0fa", "version": 1, "description": "Named conceptual framework instance." }, "tool": null, "subkind": { "name": "Framework instance", "slug": "instance", "status": "active", "canonId": "019de52d-05a2-72af-be0b-7edc60708a03", "version": 1, "description": null }, "framework": null }, "subkind": "instance", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.557+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "70152f0d-95f3-4e41-a9f8-98229b40be9b", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.25, "x": 0.05, "y": 0.85 }, "kind": "metric", "text": "98% of all automated location dossiers", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.557+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6a95e76f-0ca6-463d-b1ef-c76b5d4dc5f5", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.25, "x": 0.35, "y": 0.85 }, "kind": "metric", "text": "96% Prediction accuracy", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.557+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "75396c98-1b34-4669-8eba-7f544eb0c2a1", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.25, "x": 0.65, "y": 0.85 }, "kind": "metric", "text": "24x Faster strategic plan updates", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.557+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c184fef0-3ec1-45c9-8889-5b36f450ea48", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.5, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "AI Powered Products for Decision Dominance", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.557+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "23772006-86e6-4240-ba78-7199dd1f2e36", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "3137dbcf-4b9c-456b-ac4b-b30d2601a347", "evidence": "The slide uses a three-stage process (Observe, Orient, Dominate) that mirrors the OODA loop military decision-making framework.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 13:36:13.557+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 15, "frameworkName": "ooda-loop" } ], "arcBeats": [ { "to": 17, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 15, "name": "Solution", "beatId": "34b3df98-6638-47a5-a523-4d52e6416bf1", "matchId": "93586a86-b056-43e1-868d-d3a1c9f208f8", "beatType": { "name": "Solution", "slug": "sequoia-pitch-solution", "status": "active", "canonId": "019dd9b8-1fb1-71d9-a260-07738d7f9c2f", "version": 1, "description": null }, "evidence": "Slides 15-17 present BigBear.ai's AI-powered solutions and composable foundation.", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Turn", "slug": "turn", "status": "active", "canonId": "019dd9b8-0396-702b-ac2f-9901f8dd8b54", "version": 1, "description": "The pivot — solution proposed, catalyst introduced, decision made. Common (15/20 arcs) but not universal: Triple-take, AIDA, PAS, Voyage-return and Pixar substitute it with a strong reflection or development beat." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 16, "type": "resolution", "title": "The slide uses a puzzle-piece metaphor to illustrate modularity and references the OODA loop (Observe, Orient, Decide, Act) framework, though modified to 'Domin", "function": "present_solution", "rawType": "solution", "block": null, "metadata": { "slideType": "solution", "slideTypeCanon": { "name": "Solution", "slug": "solution", "status": "active", "canonId": "019de52d-0eb5-72ff-8b70-ba70a4199282", "version": 1, "description": null }, "function": "present_solution", "functionCanon": { "name": "Present solution", "slug": "present_solution", "status": "active", "canonId": "019de52d-15b8-71da-bd23-2b767850cbce", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 75, "componentCount": 8, "textChars": 451, "nDataPoints": 4, "notes": "The slide uses a puzzle-piece metaphor to illustrate modularity and references the OODA loop (Observe, Orient, Decide, Act) framework, though modified to 'Dominate'.", "elementsJson": null, "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:14.6+00", "seconds": 4.079, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/16", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-16", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.75, "x": 0.05, "y": 0.25 }, "kind": "framework", "text": "Observe, Orient, Dominate", "attrs": null, "canon": { "kind": { "name": "Framework", "slug": "framework", "status": "active", "canonId": "019de52c-fa18-77c6-b10a-ccb8277ac0fa", "version": 1, "description": "Named conceptual framework instance." }, "tool": null, "subkind": { "name": "Framework instance", "slug": "instance", "status": "active", "canonId": "019de52d-05a2-72af-be0b-7edc60708a03", "version": 1, "description": null }, "framework": null }, "subkind": "instance", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:14.6+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "edc6fb69-4dd7-4c43-9be9-e6e019b915d7", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.18, "x": 0.8, "y": 0.35 }, "kind": "list", "text": "Rapid time to value: ~4 weeks to integrate new customer; Trusted in critical situations; Scales for global coverage; Component reuse accelerates innovation", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:14.6+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "11e54b06-01ce-4582-beb7-8f784579b7fe", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.15, "x": 0.35, "y": 0.75 }, "kind": "metric", "text": "6M+", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:14.6+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "01f983d5-de2e-48b2-9ad4-90d56afddb86", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.15, "x": 0.1, "y": 0.75 }, "kind": "metric", "text": "600M+", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:14.6+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4dec8e46-794f-40a0-94b2-94c3256e7a8f", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.15, "x": 0.1, "y": 0.85 }, "kind": "metric", "text": "7.2B", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:14.6+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7e4e482e-a6c7-402c-b028-985aefd9678e", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.15, "x": 0.35, "y": 0.85 }, "kind": "metric", "text": "10K+", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:14.6+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cd1853dc-ad76-44a4-b41f-67a517247b87", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.9, "x": 0.05, "y": 0.15 }, "kind": "paragraph", "text": "BigBear.ai's highly modular IP can be used alone or grafted onto a customer's existing technology to quickly produce customized solutions that meet the unique needs of the customer and the end market", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:14.6+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0c8988a7-0948-448e-aa58-ecc28db72088", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Agility and Differentiation from a Composable Foundation", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:14.6+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "422aa67e-4b2a-4ffd-b923-8baf896f45af", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "774b57b7-2238-4acb-8e81-1dd9a25764ab", "evidence": "The slide uses the structure 'Observe', 'Orient', and 'Dominate' (a variation of the OODA loop).", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 13:36:14.6+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 16, "frameworkName": "OODA-loop" } ], "arcBeats": [ { "to": 17, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 15, "name": "Solution", "beatId": "34b3df98-6638-47a5-a523-4d52e6416bf1", "matchId": "93586a86-b056-43e1-868d-d3a1c9f208f8", "beatType": { "name": "Solution", "slug": "sequoia-pitch-solution", "status": "active", "canonId": "019dd9b8-1fb1-71d9-a260-07738d7f9c2f", "version": 1, "description": null }, "evidence": "Slides 15-17 present BigBear.ai's AI-powered solutions and composable foundation.", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Turn", "slug": "turn", "status": "active", "canonId": "019dd9b8-0396-702b-ac2f-9901f8dd8b54", "version": 1, "description": "The pivot — solution proposed, catalyst introduced, decision made. Common (15/20 arcs) but not universal: Triple-take, AIDA, PAS, Voyage-return and Pixar substitute it with a strong reflection or development beat." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 17, "type": "resolution", "title": "Uses a transition-style layout to show the application of core IP to new markets.", "function": "present_solution", "rawType": "solution", "block": null, "metadata": { "slideType": "solution", "slideTypeCanon": { "name": "Solution", "slug": "solution", "status": "active", "canonId": "019de52d-0eb5-72ff-8b70-ba70a4199282", "version": 1, "description": null }, "function": "present_solution", "functionCanon": { "name": "Present solution", "slug": "present_solution", "status": "active", "canonId": "019de52d-15b8-71da-bd23-2b767850cbce", "version": 1, "description": null }, "density": "balanced", "densityScore": 27, "componentCount": 3, "textChars": 322, "nDataPoints": 0, "notes": "Uses a transition-style layout to show the application of core IP to new markets.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:13.31+00", "seconds": 2.751, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/17", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-17", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.15 }, "kind": "paragraph", "text": "BigBear.ai's IP, originally designed for defense and intelligence customers, can be used today within a wide range of commercial applications across every industry vertical", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.31+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "100edd56-2692-4928-bca5-388543bfb7e2", "parentComponentId": null }, { "bbox": { "h": 0.65, "w": 0.9, "x": 0.05, "y": 0.28 }, "kind": "table", "text": "Comparison of Defense vs Commercial use cases for Location, Maritime, and Media intelligence.", "attrs": null, "canon": { "kind": { "name": "Table", "slug": "table", "status": "active", "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28", "version": 1, "description": "Tabular data layout." }, "tool": null, "subkind": null, "framework": null }, "subkind": "comparison", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.31+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "80a5e019-c61a-4cf5-b5bf-ca1548e829cc", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Existing Software Solutions Apply to Commercial Use Cases", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.31+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e2023426-7ed8-4bf8-8dcb-c6f45ab26cda", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "037b218e-51f8-4a14-aa20-cac27e4695ac", "evidence": "Side-by-side comparison of defense and commercial use cases", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 13:36:13.31+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 17, "frameworkName": "comparison-frame" } ], "arcBeats": [ { "to": 17, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 15, "name": "Solution", "beatId": "34b3df98-6638-47a5-a523-4d52e6416bf1", "matchId": "93586a86-b056-43e1-868d-d3a1c9f208f8", "beatType": { "name": "Solution", "slug": "sequoia-pitch-solution", "status": "active", "canonId": "019dd9b8-1fb1-71d9-a260-07738d7f9c2f", "version": 1, "description": null }, "evidence": "Slides 15-17 present BigBear.ai's AI-powered solutions and composable foundation.", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Turn", "slug": "turn", "status": "active", "canonId": "019dd9b8-0396-702b-ac2f-9901f8dd8b54", "version": 1, "description": "The pivot — solution proposed, catalyst introduced, decision made. Common (15/20 arcs) but not universal: Triple-take, AIDA, PAS, Voyage-return and Pixar substitute it with a strong reflection or development beat." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 18, "type": "evidence", "title": "The slide uses a background image of a military analyst to reinforce the context.", "function": "illustrate_case", "rawType": "testimonial", "block": null, "metadata": { "slideType": "testimonial", "slideTypeCanon": { "name": "Testimonial", "slug": "testimonial", "status": "active", "canonId": "019de52d-0a2d-7782-8a48-7e84df92cc97", "version": 1, "description": null }, "function": "illustrate_case", "functionCanon": { "name": "Illustrate case", "slug": "illustrate_case", "status": "active", "canonId": "019de52d-13b4-772c-bb73-1873612a7463", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 76, "componentCount": 7, "textChars": 611, "nDataPoints": 4, "notes": "The slide uses a background image of a military analyst to reinforce the context.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:15+00", "seconds": 4.266, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/18", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-18", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.35, "w": 0.45, "x": 0.048, "y": 0.335 }, "kind": "list", "text": "Real-time global tracking of entities\nBegan with Observe and were able to upsell into Orient and Dominate\nProviding insights into patterns of life of entities\nProvides predictive analytics to alert analysts to changes in usage of facilities or changes in behaviors of entities", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:15+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "221bc15d-1757-4f76-a36c-d10c733d916b", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.15, "x": 0.55, "y": 0.5 }, "kind": "metric", "text": "~4M Predictions Per Day", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:15+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0ec021af-b81a-456c-aa97-4cfd30c32c75", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.22, "x": 0.65, "y": 0.65 }, "kind": "metric", "text": "100x More Discoveries than the Last 50 Years of Manual Analysis", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:15+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "39cd7cb0-5621-468e-bb60-7e23daf307f9", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.22, "x": 0.65, "y": 0.33 }, "kind": "metric", "text": "110+ Years of Labor Costs Saved Through Use of BigBear.ai", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:15+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6e2f4e6f-8e87-4d88-8078-029d56c20f28", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.15, "x": 0.8, "y": 0.5 }, "kind": "metric", "text": "~2B Photos and Videos Processed", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:15+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e1bb6c3d-e0f6-46e3-8e20-7bbcbb1e4554", "parentComponentId": null }, { "bbox": { "h": 0.085, "w": 0.55, "x": 0.048, "y": 0.167 }, "kind": "paragraph", "text": "AI harnessed to ingest and enrich vast amounts of data to discover, characterize and alert analysts to activities of interest", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:15+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "15e2f327-9a38-47b4-b03f-af19d023d365", "parentComponentId": null }, { "bbox": { "h": 0.055, "w": 0.43, "x": 0.048, "y": 0.067 }, "kind": "title", "text": "Case Study: U.S. Intelligence Agency", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:15+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6a4edc2d-ae0c-499b-94e2-5efa624328f5", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 19, "type": "evidence", "title": "The slide uses a background image of a container ship to reinforce the maritime theme.", "function": "illustrate_case", "rawType": "testimonial", "block": null, "metadata": { "slideType": "testimonial", "slideTypeCanon": { "name": "Testimonial", "slug": "testimonial", "status": "active", "canonId": "019de52d-0a2d-7782-8a48-7e84df92cc97", "version": 1, "description": null }, "function": "illustrate_case", "functionCanon": { "name": "Illustrate case", "slug": "illustrate_case", "status": "active", "canonId": "019de52d-13b4-772c-bb73-1873612a7463", "version": 1, "description": null }, "density": "dense", "densityScore": 74, "componentCount": 8, "textChars": 447, "nDataPoints": 3, "notes": "The slide uses a background image of a container ship to reinforce the maritime theme.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:18.821+00", "seconds": 7.608, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/19", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-19", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.9, "w": 0.5, "x": 0.5, "y": 0.1 }, "kind": "image", "text": null, "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Photo", "slug": "photo", "status": "active", "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875", "version": 1, "description": null }, "framework": null }, "subkind": "photo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:18.821+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0b941180-c0ad-43e6-b7b0-aeaa6316a2d6", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.5, "x": 0.05, "y": 0.28 }, "kind": "list", "text": "Near real-time analysis and modeling of vessel telemetry, cargo, weather, events, and commodity prices; Ship behavior anomaly alerts; Automated fleet operation reports; Weather impact and port event forecasting; Cost savings; SaaS model; Upsold.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:18.821+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cb20c6e9-44e6-4ddb-9c84-2921c1648c05", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.2, "x": 0.65, "y": 0.7 }, "kind": "metric", "text": "Discovered", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:18.821+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "67427fd5-843b-44ea-9068-e000365797f4", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.1, "x": 0.6, "y": 0.5 }, "kind": "metric", "text": "1B", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:18.821+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9381ab32-e80f-4053-b9e5-475ad012a990", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.15, "x": 0.75, "y": 0.5 }, "kind": "metric", "text": "1 Month", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:18.821+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c94a477e-bde6-4d2f-86cf-021533e4bf1e", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.15, "x": 0.65, "y": 0.28 }, "kind": "metric", "text": "1K Miles", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:18.821+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e6ce49d8-2244-48ad-abe6-79343dd2b726", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.5, "x": 0.05, "y": 0.15 }, "kind": "paragraph", "text": "BigBear.ai provides a SaaS maritime intelligence portal to enhance awareness, safety, efficiency, and competitiveness", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:18.821+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "52850d9e-57d8-42af-aa9e-e5502e8fbc05", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Case Study: Large Public Transportation and Logistics Firm", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:18.821+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a4b27bdb-23f6-430f-bf30-5928e1c86aa0", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 20, "type": "setup", "title": "Uses a central positioning diagram to illustrate competitive differentiation.", "function": "compare_peers", "rawType": "competitive_analysis", "block": null, "metadata": { "slideType": "competitive_analysis", "slideTypeCanon": { "name": "Competitive analysis", "slug": "competitive_analysis", "status": "active", "canonId": "019de52d-093e-776b-94c6-c1573f5f1a31", "version": 1, "description": null }, "function": "compare_peers", "functionCanon": { "name": "Compare peers", "slug": "compare_peers", "status": "active", "canonId": "019de52d-1453-72ba-a367-9ba3d34c1630", "version": 1, "description": null }, "density": "dense", "densityScore": 66, "componentCount": 6, "textChars": 768, "nDataPoints": 0, "notes": "Uses a central positioning diagram to illustrate competitive differentiation.", "elementsJson": null, "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:13.943+00", "seconds": 2.714, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/20", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-20", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.2, "w": 0.25, "x": 0.7, "y": 0.65 }, "kind": "callout", "text": "Flexible but Limited: Frameworks that lack a comprehensive suite of products and capabilities", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.943+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b6b3411c-9a46-4074-b395-b55f7d2a63c0", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.25, "x": 0.05, "y": 0.65 }, "kind": "callout", "text": "End-to-End but Rigid: Monolithic platforms that are difficult and expensive to integrate given \"all or nothing\" approach", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": null, "subkind": { "name": "Primary callout", "slug": "primary", "status": "active", "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d", "version": 1, "description": null }, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.943+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e7b151b4-134c-4e08-abcf-2c078575be6c", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.8, "x": 0.1, "y": 0.3 }, "kind": "diagram", "text": "Central positioning of BigBear.ai between two competitive archetypes", "attrs": null, "canon": { "kind": { "name": "Diagram", "slug": "diagram", "status": "active", "canonId": "019de52c-f9f0-734a-81de-15382ff28c65", "version": 1, "description": "Schematic or relational diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": "other", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.943+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5a304123-702e-46cb-88a7-8a3d357a9450", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.5, "x": 0.25, "y": 0.45 }, "kind": "list", "text": "Portability and modularity to fit into existing enterprises; Provides rapid value and promotes horizontal growth; AI for course of action generation and optimization; Battlefield tested within complex mission environments; Pluggable platform creates the right product for the right problem", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.943+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5a1bcca0-c86e-49ef-82ce-e833031f2231", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.8, "x": 0.05, "y": 0.15 }, "kind": "paragraph", "text": "BigBear.ai's differentiated platform offers end-to-end integration with a comprehensive suite of products and capabilities to address unmet, critical needs", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.943+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6187c55f-4bbc-4296-b9c1-904a9a4c61d3", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.6, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Well Situated Between Competitive Offerings", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:13.943+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "35e89ec8-2d7e-4806-a325-96181b93e35a", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "2x2 matrix", "slug": "matrix-2x2", "status": "active", "bestFor": null, "canonId": "019dd9e1-50ab-72d1-8afb-3ab0a38e32a8", "version": 1, "bodyDocId": null, "description": "BCG matrix, importance/urgency, any axes-and-quadrants frame.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "30c29ed2-2f37-4e9c-bd98-b310db49e408", "evidence": "diagram/other: Central positioning of BigBear.ai between two competitive archetypes", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-16 23:39:44.599336+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 20, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [ { "matchId": "c6de353b-c3aa-4dc4-afc8-60fb69c86a16", "evidence": "Visual placement of the company between two extremes of competitors", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 13:36:13.943+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 20, "frameworkName": "positioning-map" } ], "arcBeats": [], "loops": [], "locked": true }, { "page": 21, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 4, "componentCount": 2, "textChars": 25, "nDataPoints": 0, "notes": null, "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:18.734+00", "seconds": 7.41, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/21", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-21", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.35, "x": 0.05, "y": 0.12 }, "kind": "image", "text": "BIGBEAR.AI", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo", "slug": "logo", "status": "active", "canonId": "019de52c-fdaf-743d-94c4-d7c6a0e55302", "version": 1, "description": null }, "framework": null }, "subkind": "logo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:18.734+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a79fe9a9-d3a9-4f42-ad65-392cabc06766", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.64, "x": 0.36, "y": 0.45 }, "kind": "title", "text": "GROWTH STRATEGY", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:18.734+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9f6a01b1-2156-4d92-a41a-d243cd59a85b", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 22, "type": "setup", "title": "The slide uses a directional arrow background to imply progression or cumulative growth.", "function": "summarize", "rawType": "key_messages", "block": null, "metadata": { "slideType": "key_messages", "slideTypeCanon": { "name": "Key messages", "slug": "key_messages", "status": "active", "canonId": "019de52d-0712-703f-89f5-bda6688faf3f", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 81, "componentCount": 8, "textChars": 613, "nDataPoints": 5, "notes": "The slide uses a directional arrow background to imply progression or cumulative growth.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:20.804+00", "seconds": 9.437, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/22", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-22", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.5, "w": 0.92, "x": 0.04, "y": 0.3 }, "kind": "list", "text": "Execute on Existing Backlog; Pursue Near-Term Opportunities; Expand Presence in Commercial Market; Opportunities for Inorganic Growth and Horizontal Expansion", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:20.804+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "595132dc-ddbd-4a7f-8386-61aef768f4c7", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.18, "x": 0.28, "y": 0.8 }, "kind": "metric", "text": "~90 Near-Term Opportunities Identified Collectively Worth ~$4.5B", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:20.804+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0d2ef735-b69b-4543-b202-0b19192668b0", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.18, "x": 0.06, "y": 0.8 }, "kind": "metric", "text": "83% of 2021E Revenue in Backlog", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:20.804+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "29204762-d2bc-41cd-b982-2f30546db89d", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.18, "x": 0.52, "y": 0.8 }, "kind": "metric", "text": "$109B+ Total Addressable Market", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:20.804+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5ffeb1c1-323c-4a90-9771-bc6e231eacb8", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.18, "x": 0.76, "y": 0.8 }, "kind": "metric", "text": "25+ Potential M&A Targets Identified", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:20.804+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fd40bd86-3c88-4cfe-8b43-250e4223a742", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.44, "x": 0.55, "y": 0.95 }, "kind": "source-note", "text": "(1) Source: NextFed and International Data Corporation Market Analysis. Refer to Safe Harbor on slides 2 and 3 regarding projected financial information with respect to BigBear.ai.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:20.804+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "587bb793-2a32-4b65-a948-cecc7cfaec54", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.5, "x": 0.04, "y": 0.16 }, "kind": "title", "text": "Contracted and near-term opportunities provide visibility into achieving forecasted growth", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:20.804+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4d249e9b-04ba-43b3-9e2a-9b6213beee2d", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.45, "x": 0.04, "y": 0.06 }, "kind": "title", "text": "Multiple Growth Vectors", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:20.804+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8fb55f53-f4d9-4594-8717-1e6506ae1ddb", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Pyramid Principle", "slug": "pyramid-principle", "status": "active", "bestFor": "When the document has a single governing decision or recommendation the reader is asked to accept, and the case can be decomposed into a small number of clean groups. Strategy decks, board memos, investment committee papers.", "canonId": "019dd956-7cbd-7219-a477-c871e2bc1aff", "version": 1, "bodyDocId": "88b6ac56-b880-46f9-8621-ef3491ab6235", "description": "Lead with the answer; group three to five MECE supports beneath it; recurse one level down. Top-down hierarchical structure for any document with a single recommendation.", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "dbc89548-8020-4b22-8607-98262ea8af30", "evidence": "list/bullet: Execute on Existing Backlog; Pursue Near-Term Opportunities; Expand Presence in Commercial Market; Opportunities for Inorganic Growth and Horizontal Expansion", "pageRefs": null, "priority": "Core", "whenToUse": "When the document has a single governing decision or recommendation the reader is asked to accept, and the case can be decomposed into a small number of clean groups. Strategy decks, board memos, investment committee papers.", "confidence": 0.6, "extraction": { "at": "2026-07-16 23:39:44.680465+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 22, "whyItWorks": "Solves the two failure modes of expert communication at once: (1) the long climb where readers wait pages for the answer, and (2) logical mush from non-MECE groupings. Progressive disclosure lets a reader stop at any depth and get the right information.", "antipattern": "Chronological structure (\"what we did, what we found, what we conclude\") instead of logical hierarchy. Top-of-pyramid that is a topic (\"strategic options\") instead of an answer (\"pursue Option B because...\"). Non-MECE supports that overlap or fail to cover the universe.", "cardinality": null, "narrativePurpose": "Transfer conviction with minimum reader effort by mirroring how decision-makers consume information: answer first, scaffolding behind." } ], "frameworks": [ { "matchId": "cdfd41d8-6a12-4504-81ef-988427ad77e1", "evidence": "Four distinct strategic vectors presented as a growth roadmap", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 13:36:20.804+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 22, "frameworkName": "growth-strategy-pillars" } ], "arcBeats": [], "loops": [], "locked": true }, { "page": 23, "type": "setup", "title": "The slide uses a pentagonal diagram to represent the five pillars of the AI strategy.", "function": "inspire_vision", "rawType": "vision", "block": null, "metadata": { "slideType": "vision", "slideTypeCanon": { "name": "Vision", "slug": "vision", "status": "active", "canonId": "019de52d-0f7e-7689-8010-992b1a43b6b9", "version": 1, "description": null }, "function": "inspire_vision", "functionCanon": { "name": "Inspire vision", "slug": "inspire_vision", "status": "active", "canonId": "019de52d-16d0-7756-83de-376eeac6fa40", "version": 1, "description": null }, "density": "dense", "densityScore": 62, "componentCount": 6, "textChars": 570, "nDataPoints": 0, "notes": "The slide uses a pentagonal diagram to represent the five pillars of the AI strategy.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:17.706+00", "seconds": 6.243, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/23", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-23", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.75, "w": 0.5, "x": 0.25, "y": 0.15 }, "kind": "diagram", "text": "Pentagonal diagram with 'AI-Enabled Future' at the center and five surrounding strategic pillars.", "attrs": null, "canon": { "kind": { "name": "Diagram", "slug": "diagram", "status": "active", "canonId": "019de52c-f9f0-734a-81de-15382ff28c65", "version": 1, "description": "Schematic or relational diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": "other", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:17.706+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "977228c1-0892-40ab-b9c6-e8c998519095", "parentComponentId": null }, { "bbox": { "h": 0.75, "w": 0.7, "x": 0.15, "y": 0.15 }, "kind": "list", "text": "Build the Technical Backbone; Accelerate Adoption of Existing Digital Technologies; Democratize Development; Invest in Next-Generation Capabilities; Train and Educate Warfighters", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:17.706+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "56a36ae5-d5a3-4e3b-83f3-ca9b9f9cc981", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.2, "x": 0.75, "y": 0.35 }, "kind": "quote", "text": "America is not prepared to defend or compete in the AI era.", "attrs": null, "canon": { "kind": { "name": "Quote", "slug": "quote", "status": "active", "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a", "version": 1, "description": "Pull quote or testimonial." }, "tool": null, "subkind": { "name": "Pull quote", "slug": "pull-quote", "status": "active", "canonId": "019de52c-fbf9-76fe-97e1-a0b7540445c9", "version": 1, "description": null }, "framework": null }, "subkind": "pull-quote", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:17.706+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2eb15f09-1c57-4ca8-a70b-b18978ce89ea", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.25, "x": 0.05, "y": 0.35 }, "kind": "quote", "text": "AI is an inspiring technology. It will be the most powerful tool in generations for benefiting humanity.", "attrs": null, "canon": { "kind": { "name": "Quote", "slug": "quote", "status": "active", "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a", "version": 1, "description": "Pull quote or testimonial." }, "tool": null, "subkind": { "name": "Pull quote", "slug": "pull-quote", "status": "active", "canonId": "019de52c-fbf9-76fe-97e1-a0b7540445c9", "version": 1, "description": null }, "framework": null }, "subkind": "pull-quote", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:17.706+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f28176c8-8573-4c66-a80b-4990a7b9baa0", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.35, "x": 0.65, "y": 0.95 }, "kind": "source-note", "text": "Source: National Security Commission on Artificial Intelligence (NSCAI). 23", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:17.706+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "23f30de2-9ff7-46ab-a1dd-64bc600f9838", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "The U.S. DoD is Evolving to Utilize AI at Speed and Scale", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:17.706+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a1094fdd-5fb7-4514-86fb-12459f2322f2", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 24, "type": "evidence", "title": "The slide uses a split-column layout to contrast past wins with future pipeline potential.", "function": "show_traction", "rawType": "traction", "block": null, "metadata": { "slideType": "traction", "slideTypeCanon": { "name": "Traction", "slug": "traction", "status": "active", "canonId": "019de52d-0edd-72ab-820f-3ebc71a9c542", "version": 1, "description": null }, "function": "show_traction", "functionCanon": { "name": "Show traction", "slug": "show_traction", "status": "active", "canonId": "019de52d-16a8-756a-9b38-a7d35420561d", "version": 1, "description": null }, "density": "dense", "densityScore": 66, "componentCount": 6, "textChars": 494, "nDataPoints": 5, "notes": "The slide uses a split-column layout to contrast past wins with future pipeline potential.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:14.936+00", "seconds": 3.313, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/24", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-24", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.2, "w": 0.68, "x": 0.16, "y": 0.695 }, "kind": "image", "text": "Representative End-Users", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo grid", "slug": "logo-grid", "status": "active", "canonId": "019de52c-fdd7-7409-93e5-81280a8ca215", "version": 1, "description": null }, "framework": null }, "subkind": "logo-grid", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:14.936+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6279e4d2-5c25-4046-9ad7-be40bf03f9b0", "parentComponentId": null }, { "bbox": { "h": 0.18, "w": 0.415, "x": 0.067, "y": 0.345 }, "kind": "list", "text": "Recent wins Represent ~$260M of Current Backlog; Current Contracts Represent 83% of 2021E and 47% of 2022E Revenue", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:14.936+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3498323b-3b89-4801-a03d-5518351ee182", "parentComponentId": null }, { "bbox": { "h": 0.18, "w": 0.415, "x": 0.519, "y": 0.345 }, "kind": "list", "text": "Near-term Pipeline Represents ~$4.5B; Near-term Pipeline of Opportunities is ~16x 2022E Revenue", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:14.936+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5e5e1274-2860-4ad1-962f-b52d1d470009", "parentComponentId": null }, { "bbox": { "h": 0.045, "w": 0.788, "x": 0.047, "y": 0.165 }, "kind": "paragraph", "text": "BigBear.ai has experienced an organic revenue CAGR of 25%+ historically", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:14.936+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ddbed07d-2b4d-4c0e-b6cd-34b98b0bb3ce", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.44, "x": 0.55, "y": 0.95 }, "kind": "source-note", "text": "(1) Revenue CAGR from 2016A-2020A is 25.3%. Refer to Safe Harbor on slides 2 and 3 regarding projected financial information with respect to BigBear.ai.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:14.936+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "dff86948-b746-448e-afe9-287310110989", "parentComponentId": null }, { "bbox": { "h": 0.065, "w": 0.692, "x": 0.047, "y": 0.065 }, "kind": "title", "text": "Recent Wins and Pipeline Opportunities", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:14.936+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7dc2ca31-2d6d-4d24-8bf2-c0913df36029", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 27, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 24, "name": "Traction", "beatId": "3280206c-1537-4f7a-996b-a34f271e7f9b", "matchId": "93586a86-b056-43e1-868d-d3a1c9f208f8", "beatType": null, "evidence": "Slides 24-27 showcase recent wins, pipeline opportunities, and growth strategy.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 27, "from": 24, "loop": { "name": "47_quick_win_big_bet", "slug": "47-quick-win-big-bet", "status": "active", "bestFor": "Transformation planning, 100-day plans, resource allocation", "canonId": "019dd956-790d-708d-983e-ef9bbc68f741", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap", "description": "Separate initiatives into immediate wins and longer-term strategic bets", "familyLabel": null }, "matchId": "35157aac-6842-43cb-8456-56c188ddc538", "evidence": "Slides 24-27 present recent wins and growth strategy.", "position": 1, "objective": "What are the potential returns on investment for BigBear.ai's solutions?", "confidence": 0.6, "extraction": { "at": "2026-07-16 22:14:14.461534+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 25, "type": "resolution", "title": "The slide uses a circular process diagram for the channel partner program and a list of strategic initiatives.", "function": "plan_implementation", "rawType": "go_to_market", "block": null, "metadata": { "slideType": "go_to_market", "slideTypeCanon": { "name": "Go-to-market", "slug": "go_to_market", "status": "active", "canonId": "019de52d-0ff6-713a-bd55-53d4e90b2304", "version": 1, "description": null }, "function": "plan_implementation", "functionCanon": { "name": "Plan implementation", "slug": "plan_implementation", "status": "active", "canonId": "019de52d-14a2-77ea-b210-d6a95eed4823", "version": 1, "description": null }, "density": "dense", "densityScore": 54, "componentCount": 5, "textChars": 415, "nDataPoints": 3, "notes": "The slide uses a circular process diagram for the channel partner program and a list of strategic initiatives.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:14.7+00", "seconds": 2.839, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/25", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-25", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.45, "w": 0.6, "x": 0.04, "y": 0.25 }, "kind": "diagram", "text": "Channel Partner Program circular process", "attrs": null, "canon": { "kind": { "name": "Diagram", "slug": "diagram", "status": "active", "canonId": "019de52c-f9f0-734a-81de-15382ff28c65", "version": 1, "description": "Schematic or relational diagram." }, "tool": null, "subkind": { "name": "Process flow", "slug": "process", "status": "active", "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838", "version": 1, "description": null }, "framework": null }, "subkind": "process", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:14.7+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "97729f9a-ca08-48c4-8848-2f101c26f760", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.5, "x": 0.04, "y": 0.75 }, "kind": "list", "text": "Strategic Initiatives: Onboarding sales teams, building channel strategy, enhancing upselling, expanding into new markets, leveraging existing partners.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:14.7+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7e830db1-6405-4562-9325-1dc9b07eb729", "parentComponentId": null }, { "bbox": { "h": 0.65, "w": 0.25, "x": 0.7, "y": 0.25 }, "kind": "metric", "text": "10 Team Members (Marketing), 35 Team Members (Technical Sales Enablement), 70 Team Members (Sales)", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": null, "subkind": { "name": "Big number", "slug": "big-number", "status": "active", "canonId": "019de52c-fc70-70c8-b965-0584548a9204", "version": 1, "description": null }, "framework": null }, "subkind": "big-number", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:14.7+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "208fe8a1-d221-463b-8303-c6ea44b7ac3e", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.8, "x": 0.04, "y": 0.15 }, "kind": "title", "text": "Targeted go-to-market strategy is driving momentum with new and existing customers", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:14.7+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b7ea86a0-87f7-4af9-bc95-bf0d87d60834", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.5, "x": 0.04, "y": 0.06 }, "kind": "title", "text": "Commercial Go-To-Market Overview & Strategy", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:14.7+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5e637fa3-8169-4616-8deb-f8967aaa93e5", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "a564263d-64ba-42e0-ba0f-607504c7f3dd", "evidence": "Circular diagram showing 5 steps of the channel partner program", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 13:36:14.7+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 25, "frameworkName": "process" } ], "arcBeats": [ { "to": 27, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 24, "name": "Traction", "beatId": "3280206c-1537-4f7a-996b-a34f271e7f9b", "matchId": "93586a86-b056-43e1-868d-d3a1c9f208f8", "beatType": null, "evidence": "Slides 24-27 showcase recent wins, pipeline opportunities, and growth strategy.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 27, "from": 24, "loop": { "name": "47_quick_win_big_bet", "slug": "47-quick-win-big-bet", "status": "active", "bestFor": "Transformation planning, 100-day plans, resource allocation", "canonId": "019dd956-790d-708d-983e-ef9bbc68f741", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap", "description": "Separate initiatives into immediate wins and longer-term strategic bets", "familyLabel": null }, "matchId": "35157aac-6842-43cb-8456-56c188ddc538", "evidence": "Slides 24-27 present recent wins and growth strategy.", "position": 1, "objective": "What are the potential returns on investment for BigBear.ai's solutions?", "confidence": 0.6, "extraction": { "at": "2026-07-16 22:14:14.461534+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 26, "type": "evidence", "title": "The slide uses a 'land and expand' narrative to show how initial product adoption leads to significant revenue growth over time.", "function": "show_traction", "rawType": "traction", "block": null, "metadata": { "slideType": "traction", "slideTypeCanon": { "name": "Traction", "slug": "traction", "status": "active", "canonId": "019de52d-0edd-72ab-820f-3ebc71a9c542", "version": 1, "description": null }, "function": "show_traction", "functionCanon": { "name": "Show traction", "slug": "show_traction", "status": "active", "canonId": "019de52d-16a8-756a-9b38-a7d35420561d", "version": 1, "description": null }, "density": "dense", "densityScore": 58, "componentCount": 5, "textChars": 456, "nDataPoints": 12, "notes": "The slide uses a 'land and expand' narrative to show how initial product adoption leads to significant revenue growth over time.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:17.588+00", "seconds": 5.476, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/26", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-26", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.25, "w": 0.25, "x": 0.73, "y": 0.42 }, "kind": "list", "text": "History of getting a single foothold with a customer and expanding as they learn our full value. Revenue and platform product growth is accelerating with each product created.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:17.588+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f52c2acb-cce3-48a7-a2b5-65b17bf8bb0d", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.5, "x": 0.04, "y": 0.16 }, "kind": "paragraph", "text": "We have demonstrated an ability to accelerate growth in our customer relationships as we release products", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:17.588+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6aa0888e-1b25-450b-83dd-ca8c3f63acc3", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.3, "x": 0.7, "y": 0.97 }, "kind": "source-note", "text": "Note: All figures approximate to protect confidential customer data.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:17.588+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f0c9acb8-28f7-47b8-bb24-3275a64cae5f", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.65, "x": 0.04, "y": 0.28 }, "kind": "table", "text": "Army, Intelligence Community, Maritime Logistics revenue and user growth data", "attrs": null, "canon": { "kind": { "name": "Table", "slug": "table", "status": "active", "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28", "version": 1, "description": "Tabular data layout." }, "tool": null, "subkind": { "name": "Data table", "slug": "data", "status": "active", "canonId": "019de52d-02d5-75b8-8abf-88e92bf63569", "version": 1, "description": null }, "framework": null }, "subkind": "data", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:17.588+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "235b9f6e-9b28-4bb5-862a-36fe49324b69", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.45, "x": 0.04, "y": 0.06 }, "kind": "title", "text": "Proven Land and Expand Strategy", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:17.588+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c1134cc2-c308-40ac-acb7-3529c5d5dc4f", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Storytelling: the three headline reasons", "slug": "three-reasons", "status": "active", "bestFor": null, "canonId": "019df269-279c-773a-b063-5bc5f939bf3e", "version": 1, "bodyDocId": "019df269-2777-7629-9421-3abab5842d6b", "description": "A single slide, early in the deck (typically slide 3 — immediately after the", "familyLabel": "narrative-block", "categoryName": "Narrative & Transformation", "categorySlug": "narrative-transformation" }, "agent": "storyteller", "layer": "slide", "agents": [ "storyteller" ], "matchId": "33d21d61-bb78-48ef-99ba-3a583288546c", "evidence": "History of getting a single foothold with a customer and expanding as they learn our full value.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 23:39:55.779274+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 26, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "0a2007f8-6323-4269-8927-f24bbd77b982", "evidence": "The slide explicitly titles the strategy 'Land and Expand' and shows growth metrics over time for specific customer segments.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 13:36:17.588+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 26, "frameworkName": "land-and-expand" } ], "arcBeats": [ { "to": 27, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 24, "name": "Traction", "beatId": "3280206c-1537-4f7a-996b-a34f271e7f9b", "matchId": "93586a86-b056-43e1-868d-d3a1c9f208f8", "beatType": null, "evidence": "Slides 24-27 showcase recent wins, pipeline opportunities, and growth strategy.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 27, "from": 24, "loop": { "name": "47_quick_win_big_bet", "slug": "47-quick-win-big-bet", "status": "active", "bestFor": "Transformation planning, 100-day plans, resource allocation", "canonId": "019dd956-790d-708d-983e-ef9bbc68f741", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap", "description": "Separate initiatives into immediate wins and longer-term strategic bets", "familyLabel": null }, "matchId": "35157aac-6842-43cb-8456-56c188ddc538", "evidence": "Slides 24-27 present recent wins and growth strategy.", "position": 1, "objective": "What are the potential returns on investment for BigBear.ai's solutions?", "confidence": 0.6, "extraction": { "at": "2026-07-16 22:14:14.461534+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 27, "type": "appendix", "title": "The slide uses a central logo to anchor two pillars: past performance and future potential.", "function": "other", "rawType": "other", "block": null, "metadata": { "slideType": "other", "slideTypeCanon": { "name": "Other (fallback)", "slug": "other", "status": "active", "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43", "version": 1, "description": null }, "function": "other", "functionCanon": { "name": "Other (fallback)", "slug": "other", "status": "active", "canonId": "019de52d-15e1-75bc-99dc-07732380e2ce", "version": 1, "description": null }, "density": "dense", "densityScore": 58, "componentCount": 6, "textChars": 333, "nDataPoints": 3, "notes": "The slide uses a central logo to anchor two pillars: past performance and future potential.", "elementsJson": null, "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:15.152+00", "seconds": 3.023, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/27", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-27", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.3, "w": 0.3, "x": 0.05, "y": 0.3 }, "kind": "image", "text": "NuWave, PCI, BigBear, ProModel", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo grid", "slug": "logo-grid", "status": "active", "canonId": "019de52c-fdd7-7409-93e5-81280a8ca215", "version": 1, "description": null }, "framework": null }, "subkind": "logo-grid", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:15.152+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ae713874-b8b9-44e8-8900-aabaf79a4b59", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.3, "x": 0.65, "y": 0.3 }, "kind": "list", "text": "25+ Potential Targets Identified; AI / ML Focus Comprises ~50% of Targets; $385M+ Combined Revenue", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:15.152+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f96f4597-538c-46a8-be77-180c7ab9617a", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.8, "x": 0.1, "y": 0.8 }, "kind": "paragraph", "text": "M&A has potential to strategically build out capabilities and allow BigBear.ai to accelerate customer penetration", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:15.152+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "48e7b739-1508-4bf3-bbd1-8a51947915af", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.3, "x": 0.05, "y": 0.25 }, "kind": "title", "text": "PROVEN M&A TRACK RECORD", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:15.152+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4dc552dd-29d7-4437-9e78-c8fd947839d6", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.3, "x": 0.65, "y": 0.25 }, "kind": "title", "text": "ACTIONABLE PIPELINE", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:15.152+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "817c1fbe-b852-4f87-9e07-d937ab3242f0", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "Strategic M&A Can Accelerate BigBear.ai's Momentum", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:15.152+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bd3e15b8-f567-4335-961e-7e386dae8e42", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. Each title is a sub-claim that ladders up to the deck's governing thought; read in sequence, the titles reconstruct the executive summary.", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "6f886371-bbb3-408d-8062-528c486af3c0", "evidence": "PROVEN M&A TRACK RECORD, ACTIONABLE PIPELINE", "pageRefs": null, "priority": "Core", "whenToUse": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "confidence": 0.9, "extraction": { "at": "2026-07-16 23:39:55.90254+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 27, "whyItWorks": "Solves two failure modes at once. (1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Audience Definition", "slug": "audience-definition", "status": "active", "bestFor": null, "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756", "version": 1, "bodyDocId": null, "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "924e8aa6-85a5-40b2-b6da-72cbdbbe060b", "evidence": "M&A has potential to strategically build out capabilities and allow BigBear.ai to accelerate customer penetration", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 0.6, "extraction": { "at": "2026-07-16 23:39:55.861367+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 27, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 27, "arc": { "name": "The Sequoia Pitch", "slug": "sequoia-pitch", "status": "active", "bestFor": "Investor pitches, Series A/B, board presentations", "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask", "description": null, "familyLabel": null }, "from": 24, "name": "Traction", "beatId": "3280206c-1537-4f7a-996b-a34f271e7f9b", "matchId": "93586a86-b056-43e1-868d-d3a1c9f208f8", "beatType": null, "evidence": "Slides 24-27 showcase recent wins, pipeline opportunities, and growth strategy.", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 27, "from": 24, "loop": { "name": "47_quick_win_big_bet", "slug": "47-quick-win-big-bet", "status": "active", "bestFor": "Transformation planning, 100-day plans, resource allocation", "canonId": "019dd956-790d-708d-983e-ef9bbc68f741", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap", "description": "Separate initiatives into immediate wins and longer-term strategic bets", "familyLabel": null }, "matchId": "35157aac-6842-43cb-8456-56c188ddc538", "evidence": "Slides 24-27 present recent wins and growth strategy.", "position": 1, "objective": "What are the potential returns on investment for BigBear.ai's solutions?", "confidence": 0.6, "extraction": { "at": "2026-07-16 22:14:14.461534+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 28, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 4, "componentCount": 2, "textChars": 30, "nDataPoints": 0, "notes": null, "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:14.722+00", "seconds": 2.293, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/28", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-28", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.35, "x": 0.05, "y": 0.12 }, "kind": "image", "text": "BIGBEAR.AI", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo", "slug": "logo", "status": "active", "canonId": "019de52c-fdaf-743d-94c4-d7c6a0e55302", "version": 1, "description": null }, "framework": null }, "subkind": "logo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:14.722+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ce69f05c-c14e-49db-82a7-ed45f12a9da3", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.6, "x": 0.36, "y": 0.42 }, "kind": "title", "text": "FINANCIAL HIGHLIGHTS", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:14.722+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a51bfdc4-8e93-4394-adf0-66a387be1a25", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Section divider", "slug": "section-divider", "status": "active", "bestFor": null, "canonId": "019dd9e1-4c66-707d-8d1f-6e14547134c7", "version": 1, "bodyDocId": null, "description": "A transitional slide marking the start of a new section.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "72b093f4-6ff4-4952-9f3c-3f2ba838d690", "evidence": "FINANCIAL HIGHLIGHTS", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 23:39:55.984394+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 28, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 29, "type": "evidence", "function": "show_traction", "rawType": "traction", "block": null, "metadata": { "slideType": "traction", "slideTypeCanon": { "name": "Traction", "slug": "traction", "status": "active", "canonId": "019de52d-0edd-72ab-820f-3ebc71a9c542", "version": 1, "description": null }, "function": "show_traction", "functionCanon": { "name": "Show traction", "slug": "show_traction", "status": "active", "canonId": "019de52d-16a8-756a-9b38-a7d35420561d", "version": 1, "description": null }, "density": "sparse", "densityScore": 21, "componentCount": 2, "textChars": 179, "nDataPoints": 9, "notes": null, "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:15.195+00", "seconds": 2.711, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/29", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-29", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.7, "w": 0.7, "x": 0.25, "y": 0.2 }, "kind": "table", "text": "Total Revenue ($M) 277 764 40% CAGR; Analytics Revenue (%) 52% 75% 75% by 2025E; Adj. EBITDA Margin (%) 13% 21% ~800 bps expansion", "attrs": null, "canon": { "kind": { "name": "Table", "slug": "table", "status": "active", "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28", "version": 1, "description": "Tabular data layout." }, "tool": null, "subkind": { "name": "KPI table", "slug": "kpi", "status": "active", "canonId": "019de52d-0324-7799-a84e-d0885a8ad400", "version": 1, "description": null }, "framework": null }, "subkind": "kpi", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:15.195+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d4a302eb-cf0f-48ad-ab27-fa5605300d6d", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.75, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "BigBear.ai is Established, Flexible, and Scalable", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:15.195+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c2f83991-5ad1-4cc8-b617-47e8529c4be5", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Waterfall chart", "slug": "waterfall-chart", "status": "active", "bestFor": null, "canonId": "e2799da3-725f-44a9-a093-570f1f388e64", "version": 1, "bodyDocId": null, "description": null, "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "da6623a0-a558-4fcf-a765-602c0aaf80c9", "evidence": "Total Revenue ($M) 277 764 40% CAGR; Analytics Revenue (%) 52% 75% 75% by 2025E; Adj. EBITDA Margin (%) 13% 21% ~800 bps expansion", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-16 23:39:56.06549+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 29, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 30, "type": "analysis", "title": "Includes a stacked bar chart for segment growth and a donut chart for 2025 market composition.", "function": "analyze_data", "rawType": "revenue_buildup", "block": null, "metadata": { "slideType": "revenue_buildup", "slideTypeCanon": { "name": "Revenue buildup", "slug": "revenue_buildup", "status": "active", "canonId": "019de52d-0acd-70b8-a81d-62d89840409b", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "dense", "densityScore": 59, "componentCount": 5, "textChars": 462, "nDataPoints": 16, "notes": "Includes a stacked bar chart for segment growth and a donut chart for 2025 market composition.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:15.538+00", "seconds": 2.888, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/30", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-30", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.43, "x": 0.05, "y": 0.28 }, "kind": "chart", "text": "REVENUE BY SEGMENT", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Stacked bar chart", "slug": "bar-stacked", "status": "active", "canonId": "019de52c-feec-74bf-9028-15b74f84f0a7", "version": 1, "description": null }, "framework": null }, "subkind": "bar-stacked", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:15.538+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ceea1d09-286e-4776-b822-1d23e552a8e2", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.43, "x": 0.52, "y": 0.28 }, "kind": "chart", "text": "FUTURE STATE REVENUE BY END MARKET", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Donut chart", "slug": "donut", "status": "active", "canonId": "019de52d-0006-752c-9528-0fef476b8004", "version": 1, "description": null }, "framework": null }, "subkind": "donut", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:15.538+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e6cbb0f7-c795-401d-8730-488c91e172c6", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.92, "x": 0.04, "y": 0.15 }, "kind": "paragraph", "text": "Revenue mix is anticipated to shift over the projected period such that Analytics will account for 75% of total revenue in 2025E", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:15.538+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7353208d-8a3b-4f1d-96e9-99a04596a3b8", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.45, "x": 0.52, "y": 0.93 }, "kind": "source-note", "text": "(1) Includes programs where BigBear.ai is the incumbent provider. Note: All historical financial numbers are pro forma for closed acquisitions. Refer to Safe Harbor on slides 2 and 3 regarding projected financial information with respect to BigBear.ai.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:15.538+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "156f7259-a0a6-4a4d-b82a-a0539cabc60b", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.45, "x": 0.04, "y": 0.06 }, "kind": "title", "text": "Revenue by Type and End Market", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:15.538+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f54f2eb2-1130-46be-8115-6ce5b47bd69b", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 31, "type": "analysis", "title": "The chart displays both segment revenue contribution (12% vs 88%) and segment-specific gross profit margins (30% vs 71%).", "function": "analyze_data", "rawType": "revenue_buildup", "block": null, "metadata": { "slideType": "revenue_buildup", "slideTypeCanon": { "name": "Revenue buildup", "slug": "revenue_buildup", "status": "active", "canonId": "019de52d-0acd-70b8-a81d-62d89840409b", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "dense", "densityScore": 50, "componentCount": 4, "textChars": 507, "nDataPoints": 4, "notes": "The chart displays both segment revenue contribution (12% vs 88%) and segment-specific gross profit margins (30% vs 71%).", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:29.296+00", "seconds": 16.587, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/31", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-31", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.55, "w": 0.55, "x": 0.23, "y": 0.23 }, "kind": "chart", "text": "FUTURE STATE GROSS PROFIT BY SEGMENT (1)", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Donut chart", "slug": "donut", "status": "active", "canonId": "019de52d-0006-752c-9528-0fef476b8004", "version": 1, "description": null }, "framework": null }, "subkind": "donut", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:29.296+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "625e4600-cbf7-43d0-921d-33c86883d196", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.85, "x": 0.048, "y": 0.00166 }, "kind": "paragraph", "text": "Gross profit margin (1) is projected to increase over the projected period as revenue mix shifts towards Analytics segment and Commercial end markets", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:29.296+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6cb59dce-79db-4052-9ccd-252f4853cfd8", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.45, "x": 0.53, "y": 0.94 }, "kind": "source-note", "text": "(1) Refer to Safe Harbor on slides 2 and 3 regarding Segment Gross Profit and Gross Profit Margin reporting. Note: All historical financial numbers are pro forma for closed acquisitions. Refer to Safe Harbor on slides 2 and 3 regarding projected financial information with respect to BigBear.ai.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:29.296+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2c0ce77a-1aab-4206-9c44-01f2f6bce25e", "parentComponentId": null }, { "bbox": { "h": 0.056, "w": 0.335, "x": 0.048, "y": 0.067 }, "kind": "title", "text": "Gross Profit by Segment", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:29.296+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7f5c8c1a-c232-4ee9-ab0b-f36843db49aa", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 32, "type": "analysis", "title": "Includes CAGR annotations and margin percentages for EBITDA.", "function": "analyze_data", "rawType": "appendix_data", "block": null, "metadata": { "slideType": "appendix_data", "slideTypeCanon": { "name": "Appendix data", "slug": "appendix_data", "status": "active", "canonId": "019de52d-078a-745b-9ee4-c15f2f539acd", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "dense", "densityScore": 70, "componentCount": 6, "textChars": 572, "nDataPoints": 10, "notes": "Includes CAGR annotations and margin percentages for EBITDA.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:16.082+00", "seconds": 3.365, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/32", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-32", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.55, "w": 0.45, "x": 0.05, "y": 0.35 }, "kind": "chart", "text": "ADJUSTED EBITDA", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.082+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a8fa1744-2a58-484d-9629-20439386d8d2", "parentComponentId": null }, { "bbox": { "h": 0.55, "w": 0.45, "x": 0.52, "y": 0.35 }, "kind": "chart", "text": "FREE CASH FLOW", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.082+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f0e24851-3a68-4912-82d4-6c8f11dfdebd", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.9, "x": 0.04, "y": 0.21 }, "kind": "list", "text": "Adjusted EBITDA margin expansion is bolstered by the growth in the analytics segment\nWith a market-tested product in place, BigBear.ai is expected to continue to realize steady free cash flow growth through 2025E", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.082+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "541b1878-18c6-41c4-bb49-f8c149d0b4ba", "parentComponentId": null }, { "bbox": { "h": 0.07, "w": 0.7, "x": 0.04, "y": 0.13 }, "kind": "paragraph", "text": "BigBear.ai’s profitable and established operations are projected to generate healthy EBITDA margins and cash flow", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.082+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0f628628-5da0-492f-b81b-1a4da8fd98d6", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.4, "x": 0.55, "y": 0.95 }, "kind": "source-note", "text": "Note: All historical financial numbers are pro forma for closed acquisitions. Refer to Safe Harbor on slides 2 and 3 regarding projected financial information with respect to BigBear.ai.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.082+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f1828d45-9f2c-4a92-96ed-cef19a604558", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.4, "x": 0.04, "y": 0.06 }, "kind": "title", "text": "Cash Flow and Adj. EBITDA Detail", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.082+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4821e4d0-b8b0-490f-b05e-157955041e75", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 33, "type": "setup", "function": "transition", "rawType": "section_divider", "block": null, "metadata": { "slideType": "section_divider", "slideTypeCanon": { "name": "Section divider", "slug": "section_divider", "status": "active", "canonId": "019de52d-066a-7402-9554-6ae504999041", "version": 1, "description": null }, "function": "transition", "functionCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-1365-7149-92aa-66df859e75fd", "version": 1, "description": null }, "density": "sparse", "densityScore": 5, "componentCount": 2, "textChars": 50, "nDataPoints": 0, "notes": null, "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:15.151+00", "seconds": 2.227, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/33", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-33", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.35, "x": 0.05, "y": 0.12 }, "kind": "image", "text": "BIGBEAR.AI", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo", "slug": "logo", "status": "active", "canonId": "019de52c-fdaf-743d-94c4-d7c6a0e55302", "version": 1, "description": null }, "framework": null }, "subkind": "logo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:15.151+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b2eb964b-33f7-4b9a-a116-a5a602206b5b", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.35, "x": 0.36, "y": 0.45 }, "kind": "title", "text": "VALUATION OVERVIEW & TRANSACTION SUMMARY", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:15.151+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "281ff359-a41c-4fa5-bb41-7b592ee437ff", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Section divider", "slug": "section-divider", "status": "active", "bestFor": null, "canonId": "019dd9e1-4c66-707d-8d1f-6e14547134c7", "version": 1, "bodyDocId": null, "description": "A transitional slide marking the start of a new section.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "716b9003-1647-4745-b519-6eff3ae73a47", "evidence": "VALUATION OVERVIEW & TRANSACTION SUMMARY", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 23:39:56.266977+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 33, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 34, "type": "setup", "function": "compare_peers", "rawType": "peer_benchmark", "block": null, "metadata": { "slideType": "peer_benchmark", "slideTypeCanon": { "name": "Peer benchmark", "slug": "peer_benchmark", "status": "active", "canonId": "019de52d-08f0-7158-a78d-d7b5331fefaf", "version": 1, "description": null }, "function": "compare_peers", "functionCanon": { "name": "Compare peers", "slug": "compare_peers", "status": "active", "canonId": "019de52d-1453-72ba-a367-9ba3d34c1630", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 82, "componentCount": 7, "textChars": 939, "nDataPoints": 8, "notes": null, "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:20.347+00", "seconds": 7.324, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/34", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-34", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.1, "w": 0.45, "x": 0.46, "y": 0.33 }, "kind": "image", "text": "Alteryx, C3.ai, Crowdstrike, Elastic, Everbridge, IronNet, Palantir, Snowflake, Splunk, Telos", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo grid", "slug": "logo-grid", "status": "active", "canonId": "019de52c-fdd7-7409-93e5-81280a8ca215", "version": 1, "description": null }, "framework": null }, "subkind": "logo-grid", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:20.347+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a6cfcc88-683b-416b-bf0d-1212a1d2819c", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.5, "x": 0.45, "y": 0.49 }, "kind": "list", "text": "Operate in the same industry with complementary end markets; Commercial and government exposure; Valued on revenue multiples; Focused on a fast-growing, early-stage market; New entrants centered around disruptive innovation; Telos and Palantir are software companies with high exposure to government and significant services capabilities", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:20.347+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5c5126c1-89b3-456f-95db-090466a43960", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.3, "x": 0.67, "y": 0.945 }, "kind": "source-note", "text": "Note: All historical financial numbers are pro forma for closed acquisitions. Source: CapIQ and FactSet; Market data as of June 2, 2021.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:20.347+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "20468430-4ead-40ec-b0ea-ed7d93a219a4", "parentComponentId": null }, { "bbox": { "h": 0.65, "w": 0.63, "x": 0.33, "y": 0.268 }, "kind": "table", "text": "DATA / ANALYTICS INFRASTRUCTURE COMPARABLES", "attrs": null, "canon": { "kind": { "name": "Table", "slug": "table", "status": "active", "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28", "version": 1, "description": "Tabular data layout." }, "tool": null, "subkind": { "name": "Data table", "slug": "data", "status": "active", "canonId": "019de52d-02d5-75b8-8abf-88e92bf63569", "version": 1, "description": null }, "framework": null }, "subkind": "data", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:20.347+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "777546c1-0100-45ca-a98e-f54bb6be3852", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.5, "x": 0.45, "y": 0.78 }, "kind": "table", "text": "'20A – '21E Revenue Growth 30.1% 2021E EBITDA Margin 2.3% '21E – '22E Revenue Growth 31.3% 2022E EBITDA Margin 5.5% 2021E Gross Margin 75.9% EV / 2021E Revenue 23.5x 2022E Gross Margin 76.5% EV / 2022E Revenue 14.6x", "attrs": null, "canon": { "kind": { "name": "Table", "slug": "table", "status": "active", "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28", "version": 1, "description": "Tabular data layout." }, "tool": null, "subkind": { "name": "KPI table", "slug": "kpi", "status": "active", "canonId": "019de52d-0324-7799-a84e-d0885a8ad400", "version": 1, "description": null }, "framework": null }, "subkind": "kpi", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:20.347+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5d5e0db7-41b4-460c-99c5-b9757a19c4f8", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.57, "x": 0.047, "y": 0.167 }, "kind": "title", "text": "BigBear.ai’s capabilities position it as a powerful force in the data / analytics infrastructure peer set", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:20.347+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5bb2df13-0ca5-458b-8ab0-9a2bf95ee93a", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.23, "x": 0.047, "y": 0.067 }, "kind": "title", "text": "Peer Group", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:20.347+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "06048b5d-e209-4bb7-9953-d8af10b15219", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "f469d3e6-cc45-46c5-aa6d-bc0c4b015cff", "evidence": "Comparison of selected peers based on industry, business model, and financial metrics.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 13:36:20.347+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 34, "frameworkName": "peer-group-analysis" } ], "arcBeats": [], "loops": [], "locked": true }, { "page": 35, "type": "setup", "title": "The slide uses two bar charts to compare BigBear.ai (highlighted in red) against 10 other public companies.", "function": "compare_peers", "rawType": "peer_benchmark", "block": null, "metadata": { "slideType": "peer_benchmark", "slideTypeCanon": { "name": "Peer benchmark", "slug": "peer_benchmark", "status": "active", "canonId": "019de52d-08f0-7158-a78d-d7b5331fefaf", "version": 1, "description": null }, "function": "compare_peers", "functionCanon": { "name": "Compare peers", "slug": "compare_peers", "status": "active", "canonId": "019de52d-1453-72ba-a367-9ba3d34c1630", "version": 1, "description": null }, "density": "dense", "densityScore": 58, "componentCount": 5, "textChars": 424, "nDataPoints": 26, "notes": "The slide uses two bar charts to compare BigBear.ai (highlighted in red) against 10 other public companies.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:16.238+00", "seconds": 3.166, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/35", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-35", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.3, "w": 0.95, "x": 0.047, "y": 0.63 }, "kind": "chart", "text": "Analytics Gross Margin (FY'22E)", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.238+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "325cfcde-0bdf-492f-9d55-6556d9bdf799", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.95, "x": 0.047, "y": 0.285 }, "kind": "chart", "text": "Total Revenue Growth (FY'21E – FY'22E)", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.238+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "431c4984-38ea-4367-bb93-e341d8a61552", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.65, "x": 0.047, "y": 0.165 }, "kind": "paragraph", "text": "Operational benchmarking – revenue growth and gross margin profiles", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.238+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "181ecefa-6c02-4cc3-aff4-944eff0bca3c", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.45, "x": 0.54, "y": 0.935 }, "kind": "source-note", "text": "(1) Refer to Safe Harbor on slides 2 and 3 regarding Segment Gross Profit and Gross Profit Margin reporting. Source: CapIQ and FactSet; Market data as of June 2, 2021. Refer to Safe Harbor on slides 2 and 3 regarding projected financial information with respect to BigBear.ai.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.238+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "529f5a17-5447-496c-9832-9c268b3682a9", "parentComponentId": null }, { "bbox": { "h": 0.065, "w": 0.285, "x": 0.047, "y": 0.065 }, "kind": "title", "text": "Benchmarking", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.238+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bf5f7498-17f0-4acd-89a0-693e88b23bf9", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "1ff3badd-60a4-42ec-9b7c-f7b0faaefa37", "evidence": "Comparison of company metrics against industry peers", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 13:36:16.238+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 35, "frameworkName": "peer_benchmark" } ], "arcBeats": [], "loops": [], "locked": true }, { "page": 36, "type": "setup", "title": "The slide uses a dual-chart layout to compare profitability and growth-adjusted performance.", "function": "compare_peers", "rawType": "peer_benchmark", "block": null, "metadata": { "slideType": "peer_benchmark", "slideTypeCanon": { "name": "Peer benchmark", "slug": "peer_benchmark", "status": "active", "canonId": "019de52d-08f0-7158-a78d-d7b5331fefaf", "version": 1, "description": null }, "function": "compare_peers", "functionCanon": { "name": "Compare peers", "slug": "compare_peers", "status": "active", "canonId": "019de52d-1453-72ba-a367-9ba3d34c1630", "version": 1, "description": null }, "density": "dense", "densityScore": 51, "componentCount": 5, "textChars": 295, "nDataPoints": 22, "notes": "The slide uses a dual-chart layout to compare profitability and growth-adjusted performance.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:16.419+00", "seconds": 3.15, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/36", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-36", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.3, "w": 0.75, "x": 0.175, "y": 0.25 }, "kind": "chart", "text": "Adj. EBITDA Margin (FY'22E)", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.419+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "025ee3c6-cb3d-4051-860c-10c6cd898a9d", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.75, "x": 0.175, "y": 0.6 }, "kind": "chart", "text": "Rule of 40 Analysis (FY'22E)", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.419+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2c5b0f47-5a02-4403-906f-730e7cfe9743", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.44, "x": 0.55, "y": 0.95 }, "kind": "source-note", "text": "Source: CapIQ and FactSet; Market data as of June 2, 2021. Refer to Safe Harbor on slides 2 and 3 regarding projected financial information with respect to BigBear.ai.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.419+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e47b2d5d-0ed0-41e9-9103-ee09701b7d07", "parentComponentId": null }, { "bbox": { "h": 0.035, "w": 0.435, "x": 0.047, "y": 0.165 }, "kind": "subtitle", "text": "Peer group profitability and Rule of 40 benchmarking", "attrs": null, "canon": { "kind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "82d821ee-2793-42e7-8f16-c6131385a3ce", "version": 1, "description": "Header-zone supporting text near the title (= ex body.description with bbox)." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.419+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "acb69f11-967b-4496-9325-722abccb2ba6", "parentComponentId": null }, { "bbox": { "h": 0.055, "w": 0.315, "x": 0.047, "y": 0.065 }, "kind": "title", "text": "Benchmarking (cont'd)", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.419+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "39b25e63-2f1e-4268-b7be-e784052fbe0f", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "44a564e4-231c-4bb0-8fb6-9123f5b87446", "evidence": "Explicitly labeled as 'Rule of 40 Analysis' in the chart title.", "framework": null, "confidence": 1, "extraction": { "at": "2026-05-02 13:36:16.419+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 36, "frameworkName": "Rule of 40" } ], "arcBeats": [], "loops": [], "locked": true }, { "page": 37, "type": "setup", "title": "The chart highlights BigBear.ai in red compared to grey bars for peers, with a dotted line indicating the median.", "function": "compare_peers", "rawType": "peer_benchmark", "block": null, "metadata": { "slideType": "peer_benchmark", "slideTypeCanon": { "name": "Peer benchmark", "slug": "peer_benchmark", "status": "active", "canonId": "019de52d-08f0-7158-a78d-d7b5331fefaf", "version": 1, "description": null }, "function": "compare_peers", "functionCanon": { "name": "Compare peers", "slug": "compare_peers", "status": "active", "canonId": "019de52d-1453-72ba-a367-9ba3d34c1630", "version": 1, "description": null }, "density": "dense", "densityScore": 51, "componentCount": 5, "textChars": 316, "nDataPoints": 10, "notes": "The chart highlights BigBear.ai in red compared to grey bars for peers, with a dotted line indicating the median.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:16.269+00", "seconds": 2.965, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/37", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-37", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.75, "x": 0.18, "y": 0.25 }, "kind": "chart", "text": "EV / Revenue (FY'22E) comparison of BigBear.ai and peers", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.269+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d32fcc0b-c680-46be-85fe-de4e2cc106a8", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.1, "x": 0.84, "y": 0.24 }, "kind": "legend", "text": "Peer Average: 18.6x, Peer Median: 14.6x", "attrs": null, "canon": { "kind": { "name": "Legend", "slug": "legend", "status": "active", "canonId": "31361933-3d22-4c70-bbad-0801e9fffc0c", "version": 1, "description": "Color/symbol decoder placed adjacent to a chart or diagram." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.269+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bba3ede8-8541-4c1a-a96c-8ba52921cd5f", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.45, "x": 0.52, "y": 0.95 }, "kind": "source-note", "text": "Source: CapIQ and FactSet; Market data as of June 2, 2021. Refer to Safe Harbor on slides 2 and 3 regarding projected financial information with respect to BigBear.ai.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.269+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "564962a8-4f58-440c-9d4e-cef9740a7c5f", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.25, "x": 0.048, "y": 0.167 }, "kind": "subtitle", "text": "Peer group valuation benchmarking", "attrs": null, "canon": { "kind": { "name": "Subtitle", "slug": "subtitle", "status": "active", "canonId": "82d821ee-2793-42e7-8f16-c6131385a3ce", "version": 1, "description": "Header-zone supporting text near the title (= ex body.description with bbox)." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.269+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "76849cda-d8b2-4734-a6fb-05f98afea835", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.25, "x": 0.048, "y": 0.067 }, "kind": "title", "text": "Benchmarking (cont'd)", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.269+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "71c98a8f-7da1-45b9-921d-145a605e389b", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "94ba1219-b59e-4fcc-85ae-bf379175304b", "evidence": "Direct comparison of valuation multiples against a defined peer group.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 13:36:16.269+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 37, "frameworkName": "comparison_frame" } ], "arcBeats": [], "loops": [], "locked": true }, { "page": 38, "type": "setup", "title": "The slide uses a 'discount to peer average' framing to argue for valuation upside.", "function": "compare_peers", "rawType": "peer_benchmark", "block": null, "metadata": { "slideType": "peer_benchmark", "slideTypeCanon": { "name": "Peer benchmark", "slug": "peer_benchmark", "status": "active", "canonId": "019de52d-08f0-7158-a78d-d7b5331fefaf", "version": 1, "description": null }, "function": "compare_peers", "functionCanon": { "name": "Compare peers", "slug": "compare_peers", "status": "active", "canonId": "019de52d-1453-72ba-a367-9ba3d34c1630", "version": 1, "description": null }, "density": "dense", "densityScore": 66, "componentCount": 5, "textChars": 763, "nDataPoints": 8, "notes": "The slide uses a 'discount to peer average' framing to argue for valuation upside.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:16.047+00", "seconds": 2.635, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/38", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-38", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.55, "x": 0.05, "y": 0.25 }, "kind": "chart", "text": "Transaction value vs Peer valuation ranges", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Vertical bar chart", "slug": "bar-vertical", "status": "active", "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917", "version": 1, "description": null }, "framework": null }, "subkind": "bar-vertical", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.047+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "48e4f69d-c799-431e-a1d4-58a0a2f162ae", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.3, "x": 0.65, "y": 0.28 }, "kind": "list", "text": "Summary of Approach: Peer valuation applies range of multiples to BigBear.ai's 2021E and 2022E management forecasted revenue to arrive at an implied enterprise value. The applied range was determined by a 2-turn range around the peer mean EV / Revenue multiple of the Data / Analytics Infrastructure peers. 2021E and 2022E projected financials-based valuation is a reasonable approach given BigBear.ai's high degree of visibility to future revenue from large, long-term contracts", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.047+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4ca8aea4-9f6a-4b3b-9110-372ae5857118", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.5, "x": 0.5, "y": 0.95 }, "kind": "source-note", "text": "Source: CapIQ and FactSet; Market data as of June 2, 2021. Refer to Safe Harbor on slides 2 and 3 regarding projected financial information with respect to BigBear.ai.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.047+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b4affc0e-4009-4a5f-a86a-b7eeaa313ff8", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.5, "x": 0.04, "y": 0.16 }, "kind": "title", "text": "BigBear.ai is priced with significant upside potential", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Action title", "slug": "action-title", "status": "active", "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d", "version": 1, "description": null }, "framework": null }, "subkind": "action-title", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.047+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2b5f34d0-dbd2-46be-8939-ab04fa92e281", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.35, "x": 0.04, "y": 0.06 }, "kind": "title", "text": "Benchmarking (cont'd)", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.047+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "238d63c7-0f2f-43b2-89cb-9c82010944a5", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Slide recipe: the peer-gap chart", "slug": "peer-gap-chart-recipe", "status": "active", "bestFor": null, "canonId": "019df269-2b04-75bc-ad85-e0179264bdd7", "version": 1, "bodyDocId": "019df269-2ae1-771d-9cd1-193a2e25f21c", "description": "The single most-copied slide in activism. This is the exact layout, used", "familyLabel": "slide-recipe", "categoryName": "Slide", "categorySlug": "slide" }, "agent": "designer", "layer": "slide", "agents": [ "designer" ], "matchId": "41a8f194-7af9-4f8f-bd3b-a7789a0506c0", "evidence": "Benchmarking (cont'd) Transaction value vs Peer valuation ranges", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.8, "extraction": { "at": "2026-07-16 23:39:49.374421+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 38, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "527637c9-0283-442b-a987-2416ab7f2599", "evidence": "Comparing transaction value to peer valuation multiples to show upside.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 13:36:16.047+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 38, "frameworkName": "comparison_frame" } ], "arcBeats": [], "loops": [], "locked": true }, { "page": 39, "type": "analysis", "title": "Includes detailed footnotes regarding financial assumptions and transaction structure.", "function": "analyze_data", "rawType": "appendix_data", "block": null, "metadata": { "slideType": "appendix_data", "slideTypeCanon": { "name": "Appendix data", "slug": "appendix_data", "status": "active", "canonId": "019de52d-078a-745b-9ee4-c15f2f539acd", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "dense", "densityScore": 69, "componentCount": 6, "textChars": 506, "nDataPoints": 28, "notes": "Includes detailed footnotes regarding financial assumptions and transaction structure.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:16.855+00", "seconds": 3.266, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/39", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-39", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.4, "w": 0.4, "x": 0.05, "y": 0.45 }, "kind": "chart", "text": "PRO FORMA BASIC OWNERSHIP %", "attrs": null, "canon": { "kind": { "name": "Chart", "slug": "chart", "status": "active", "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8", "version": 1, "description": "Quantitative chart." }, "tool": null, "subkind": { "name": "Pie chart", "slug": "pie", "status": "active", "canonId": "019de52c-ffdb-71bb-a800-5c5ab9f1c373", "version": 1, "description": null }, "framework": null }, "subkind": "pie", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.855+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "536749c5-9072-4be3-948a-e7da0349b657", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.4, "x": 0.55, "y": 0.88 }, "kind": "disclaimer", "text": "(1) Dollar figures and percentages rounded for presentation. (2) Founders / Insiders includes Founder Shares and Private Placement Units... (5) Subject to change.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.855+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a87c1c64-e1f2-4f26-9300-93541f2818f4", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.5, "x": 0.04, "y": 0.15 }, "kind": "list", "text": "PF Enterprise Value of $1,565M, implying an EV / FY2022E revenue multiple of 5.6x; Current BigBear.ai stockholders to retain ~73% of pro forma equity; Seeking to raise $200M convertible note; 100% of BigBear.ai’s existing debt of $110M will be paid down", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.855+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "aa7b8c89-54f7-46a8-a77f-f9ee681c5ea5", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.35, "x": 0.6, "y": 0.35 }, "kind": "table", "text": "ILLUSTRATIVE SOURCES & USES", "attrs": null, "canon": { "kind": { "name": "Table", "slug": "table", "status": "active", "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28", "version": 1, "description": "Tabular data layout." }, "tool": null, "subkind": { "name": "Data table", "slug": "data", "status": "active", "canonId": "019de52d-02d5-75b8-8abf-88e92bf63569", "version": 1, "description": null }, "framework": null }, "subkind": "data", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.855+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4d0e2a94-62e6-4bc3-a80f-3b157de31dad", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.35, "x": 0.6, "y": 0.05 }, "kind": "table", "text": "PRO FORMA VALUATION", "attrs": null, "canon": { "kind": { "name": "Table", "slug": "table", "status": "active", "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28", "version": 1, "description": "Tabular data layout." }, "tool": null, "subkind": { "name": "Valuation table", "slug": "valuation", "status": "active", "canonId": "019de52d-034c-74ed-b5c8-22b5e6ac196d", "version": 1, "description": null }, "framework": null }, "subkind": "valuation", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.855+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "08705884-370c-4c49-ab38-5d412e5cb3bc", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.35, "x": 0.04, "y": 0.05 }, "kind": "title", "text": "Transaction Detail", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:16.855+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "28cedcad-843d-4773-ba63-dbc88814b65b", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Table data", "slug": "table-data", "status": "active", "bestFor": null, "canonId": "019dd9e1-4fab-7168-a82f-b847350a006d", "version": 1, "bodyDocId": null, "description": "Tabular layouts of structured data.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "2c98d496-4f96-49f0-b944-9d839de973a6", "evidence": "ILLUSTRATIVE SOURCES & USES table", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 23:39:49.4555+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 39, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 40, "type": "appendix", "function": "appendix", "rawType": "appendix", "block": null, "metadata": { "slideType": "appendix", "slideTypeCanon": { "name": "Appendix", "slug": "appendix", "status": "active", "canonId": "019de52d-0762-71f8-b564-89ab863301cc", "version": 1, "description": null }, "function": "appendix", "functionCanon": { "name": "Appendix", "slug": "appendix", "status": "active", "canonId": "019de52d-138d-750b-83c3-49b4bc7a7a38", "version": 1, "description": null }, "density": "sparse", "densityScore": 3, "componentCount": 2, "textChars": 18, "nDataPoints": 0, "notes": null, "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:17.796+00", "seconds": 4.063, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/40", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-40", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.162, "w": 0.565, "x": 0.055, "y": 0.118 }, "kind": "image", "text": "BIGBEAR.AI", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo", "slug": "logo", "status": "active", "canonId": "019de52c-fdaf-743d-94c4-d7c6a0e55302", "version": 1, "description": null }, "framework": null }, "subkind": "logo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:17.796+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4c80f98c-eb09-4568-b1d2-d03b837201cc", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.22, "x": 0.39, "y": 0.46 }, "kind": "title", "text": "APPENDIX", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:17.796+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "be4c58b0-0b1c-41be-a2aa-832d54773f5e", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 41, "type": "analysis", "title": "Includes segment-level breakdown for Cyber & Engineering and Analytics, with GAAP and non-GAAP adjustments.", "function": "analyze_data", "rawType": "appendix_data", "block": null, "metadata": { "slideType": "appendix_data", "slideTypeCanon": { "name": "Appendix data", "slug": "appendix_data", "status": "active", "canonId": "019de52d-078a-745b-9ee4-c15f2f539acd", "version": 1, "description": null }, "function": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "dense", "densityScore": 52, "componentCount": 3, "textChars": 749, "nDataPoints": 150, "notes": "Includes segment-level breakdown for Cyber & Engineering and Analytics, with GAAP and non-GAAP adjustments.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:21.482+00", "seconds": 7.474, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/41", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-41", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.1, "w": 0.4, "x": 0.57, "y": 0.86 }, "kind": "disclaimer", "text": "(1) Historical Financials are unaudited, (2) All historical financial numbers are pro forma for closed acquisitions, (3) Refer to Safe Harbor on cover regarding financial information. (4) Refer to Safe Harbor regarding Segment Reporting. (5) Adjustments to Segment Gross Profit includes certain General & Administrative, Fringe and R&D costs. (6) Includes unallowable, overhead and other income (expenses). Excludes depreciation and amortization. (7) Adjusted to exclude transaction fees and other non-recurring costs. (8) Calculated by subtracting Capital Expenditures and Increases in New Working Capital from Adjusted EBITDA.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:21.482+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "49df8726-2b15-4279-8112-89c9a0e367e8", "parentComponentId": null }, { "bbox": { "h": 0.75, "w": 0.65, "x": 0.175, "y": 0.145 }, "kind": "table", "text": "Financial table with rows for Revenue, Gross Profit, EBITDA, and Free Cash Flow across years 2018-2025.", "attrs": null, "canon": { "kind": { "name": "Table", "slug": "table", "status": "active", "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28", "version": 1, "description": "Tabular data layout." }, "tool": null, "subkind": { "name": "Data table", "slug": "data", "status": "active", "canonId": "019de52d-02d5-75b8-8abf-88e92bf63569", "version": 1, "description": null }, "framework": null }, "subkind": "data", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:21.482+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2bac7654-01ad-4389-9713-67bedd40d2c7", "parentComponentId": null }, { "bbox": { "h": 0.085, "w": 0.375, "x": 0.046, "y": 0.065 }, "kind": "title", "text": "Summary Financials", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:21.482+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "89d4a361-77a7-43cf-b0b0-9c56adc21e40", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Table data", "slug": "table-data", "status": "active", "bestFor": null, "canonId": "019dd9e1-4fab-7168-a82f-b847350a006d", "version": 1, "bodyDocId": null, "description": "Tabular layouts of structured data.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "57d6cf42-6fbf-42e3-8055-a6c330120d96", "evidence": "Financial table with rows for Revenue, Gross Profit, EBITDA, and Free Cash Flow", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 23:39:49.577634+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 41, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 42, "type": "setup", "title": "The slide serves as a standard closing/thank you page.", "function": "summarize", "rawType": "closing_ask", "block": null, "metadata": { "slideType": "closing_ask", "slideTypeCanon": { "name": "Closing ask", "slug": "closing_ask", "status": "active", "canonId": "019de52d-0aa4-750f-8aa1-8d622dd99f5c", "version": 1, "description": null }, "function": "summarize", "functionCanon": { "name": "Summarize", "slug": "summarize", "status": "active", "canonId": "019de52d-1541-704f-b86f-bf7b75056373", "version": 1, "description": null }, "density": "sparse", "densityScore": 22, "componentCount": 4, "textChars": 113, "nDataPoints": 0, "notes": "The slide serves as a standard closing/thank you page.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 13:36:18.682+00", "seconds": 4.622, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de071-1e1f-767c-ab67-c81884a79674/42", "deck": "/decks/019de071-1e1f-767c-ab67-c81884a79674", "deckAnchor": "/decks/019de071-1e1f-767c-ab67-c81884a79674#slide-42", "deckJson": "/decks/019de071-1e1f-767c-ab67-c81884a79674.json" }, "components": [ { "bbox": { "h": 0.012, "w": 0.244, "x": 0.746, "y": 0.974 }, "kind": "disclaimer", "text": "© 2021 BigBear.ai. All rights reserved | BigBear.ai Proprietary.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:18.682+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a7cc8c74-1a22-4f78-a09a-9e7f61dccdc2", "parentComponentId": null }, { "bbox": { "h": 0.089, "w": 0.46, "x": 0.056, "y": 0.776 }, "kind": "image", "text": "BIGBEAR.AI", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Logo", "slug": "logo", "status": "active", "canonId": "019de52c-fdaf-743d-94c4-d7c6a0e55302", "version": 1, "description": null }, "framework": null }, "subkind": "logo", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:18.682+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "645bdc30-547b-424b-a764-b0494625ad41", "parentComponentId": null }, { "bbox": { "h": 0.028, "w": 0.472, "x": 0.084, "y": 0.236 }, "kind": "paragraph", "text": "DATA-DRIVEN DECISION DOMINANCE", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:18.682+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b6eb82ba-de40-453c-b2f4-fc92ab598d5c", "parentComponentId": null }, { "bbox": { "h": 0.072, "w": 0.126, "x": 0.789, "y": 0.232 }, "kind": "title", "text": "Thank You", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 13:36:18.682+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1fea2aea-8ff5-4d53-83df-b6ac84e733ef", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true } ], "arcBeats": [ { "from": 11, "to": 12, "label": "Problem", "description": "Slides 11-12 describe the complex environments and customer needs." }, { "from": 15, "to": 17, "label": "Solution", "description": "Slides 15-17 present BigBear.ai's AI-powered solutions and composable foundation." }, { "from": 24, "to": 27, "label": "Traction", "description": "Slides 24-27 showcase recent wins, pipeline opportunities, and growth strategy." }, { "from": 6, "to": 6, "label": "Team", "description": "Slide 6 presents the presenters' bios." } ], "loops": [ { "from": 11, "to": 12, "label": "Cost Of Inaction", "description": "What are the consequences of not adopting BigBear.ai's solutions?" }, { "from": 24, "to": 27, "label": "Quick Win Big Bet", "description": "What are the potential returns on investment for BigBear.ai's solutions?" } ] }