{ "schemaVersion": "deck-intelligence.v1", "id": "019dd923-5f69-752d-a9ba-f06d756d3735", "slug": "i2KMfFHzzxetZe89tTmb", "title": "We got an exclusive look at the pitch deck AI startup Hypatos used to raise $11 million", "subtitle": "Hypatos", "author": "Hypatos", "pageCount": 9, "kind": "pitchdeck", "orientation": "landscape", "aspectRatio": 1.795, "document": { "id": "019dd923-5f69-752d-a9ba-f06d756d3735", "slug": "i2KMfFHzzxetZe89tTmb", "title": "We got an exclusive look at the pitch deck AI startup Hypatos used to raise $11 million", "rawTitle": "We got an exclusive look at the pitch deck AI startup Hypatos used to raise $11 million", "authorId": "Pitchdecks", "authorName": "Hypatos", "authorDisplay": "Hypatos", "kind": { "slug": "pitchdeck", "label": "Pitch deck" }, "sourceType": { "slug": "strategy_consulting", "label": "Strategy consulting" }, "fileName": "Hypatos-i2KMfFHz.pdf", "sourceUrl": "https://www.businessinsider.com/ai-startup-hypatos-pitch-deck-funding-2020-9", "sourceDate": "2020-09-05 00:00:00", "presentationDate": null, "ingestedAt": "2026-04-27 09:12:46.453+00", "status": "ready", "pageCount": 9, "orientation": "landscape", "aspectRatio": 1.795, "targetCompany": null, "targetTicker": null, "metadata": { "local_root": "/tmp/legacy-images/i2KMfFHzzxetZe89tTmb", "origin_corpus": "consulting" } }, "coverage": { "pageCount": 9, "pagesIndexed": 9, "pagesWithImages": 9, "pagesWithMetadata": 9, "imageCoveragePct": 100, "metadataCoveragePct": 100, "componentCount": 50, "chartCount": 2, "metricSlides": 0, "toolMatches": 3, "documentToolMatches": 0, "frameworkMatches": 3, "arcMatches": 1, "beatMatches": 5, "loopMatches": 2, "patternMatches": 0, "storymakersMatch": false, "scoreAvailable": false, "reviewAvailable": false, "activistThesisAvailable": false, "pitchdeckMetadataAvailable": true, "pitchdeckProfileAvailable": true }, "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": "c69a339b-34b8-4705-93ec-00678511aa10", "evidence": "Matches with typical Sequoia pitch deck structure", "isPrimary": true, "confidence": 0.8, "extraction": { "at": "2026-07-17 03:18:44.075746+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "beats": [ { "to": 3, "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": 3, "name": "Problem", "beatId": "cf326ebd-b80a-494b-8763-5d9ff3522cf3", "matchId": "c69a339b-34b8-4705-93ec-00678511aa10", "beatType": { "name": "Problem", "slug": "sequoia-pitch-problem", "status": "active", "canonId": "019dd9b8-1ed4-767b-8e05-40e733bd2311", "version": 1, "description": null }, "evidence": "Problem statement on page 3", "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": 4, "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": 4, "name": "Market Size", "beatId": "07a8cc27-9ddd-4161-abe1-ed66d05b4654", "matchId": "c69a339b-34b8-4705-93ec-00678511aa10", "beatType": { "name": "Market Size", "slug": "sequoia-pitch-market-size", "status": "active", "canonId": "019dd9b8-20e6-729c-bc28-05442906d032", "version": 1, "description": null }, "evidence": "Market sizing on page 4", "position": 1, "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 }, { "to": 5, "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": 5, "name": "Solution", "beatId": "ca53a624-3954-4326-8a88-5e0967896bf7", "matchId": "c69a339b-34b8-4705-93ec-00678511aa10", "beatType": { "name": "Solution", "slug": "sequoia-pitch-solution", "status": "active", "canonId": "019dd9b8-1fb1-71d9-a260-07738d7f9c2f", "version": 1, "description": null }, "evidence": "Solution on page 5", "position": 2, "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": 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": "Product Demo", "beatId": "3c8dd9f2-35d6-48dc-ade2-e44631b2a2e3", "matchId": "c69a339b-34b8-4705-93ec-00678511aa10", "beatType": { "name": "Product", "slug": "sequoia-pitch-product", "status": "active", "canonId": "019dd9b8-2259-77df-a937-8b665c8066fe", "version": 1, "description": null }, "evidence": "Product demo on page 6", "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 }, { "to": 7, "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": 7, "name": "Use of Funds", "beatId": "0e9d2923-0244-441a-9399-f696b626bd8a", "matchId": "c69a339b-34b8-4705-93ec-00678511aa10", "beatType": { "name": "The Ask", "slug": "sequoia-pitch-the-ask", "status": "active", "canonId": "019dd9b8-24f3-72bf-940a-74d06fd9396b", "version": 1, "description": null }, "evidence": "Use of funds on page 7", "position": 4, "isPrimaryArc": true, "parentBeatType": { "name": "Resolution", "slug": "resolution", "status": "active", "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b", "version": 1, "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 4, "from": 3, "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": "13597fbf-b31d-421d-90a4-c7bcef9c1312", "evidence": "Problem statement and market sizing", "position": 0, "objective": "What is the cost of not automating back office processes?", "confidence": 0.6, "extraction": { "at": "2026-07-17 03:18:44.260949+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } }, { "to": 2, "from": 2, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null, "categoryName": "Vision", "categorySlug": "vision" }, "matchId": "e09f697a-eb73-4a0f-9840-74115ee4f10b", "evidence": "Mission statement on page 2", "position": 1, "objective": "Why is Hypatos's mission important?", "confidence": 0.6, "extraction": { "at": "2026-07-17 03:18:44.291664+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": "36c7091f-10f1-4880-8213-feb61bbb551f", "evidence": "title/action-title: Cognitive process automation for document-based back office tasks", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:29:02.914683+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": "Before-After-Bridge", "slug": "before-after-bridge", "status": "active", "bestFor": null, "canonId": "019dd956-8604-7188-883f-42370288ad05", "version": 1, "bodyDocId": null, "description": "Narrative structure: Paint the before, show the after, explain the bridge", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "2f15c521-6edb-4a02-8ed2-353ff9a62812", "evidence": "Back office work in many industries and functions is defined by manual document processing.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-16 22:29:03.090879+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 3, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Problem Statement Canvas", "slug": "problem-statement-canvas", "status": "active", "bestFor": null, "canonId": "019dd956-839d-744b-ad11-9bf3e3642a18", "version": 1, "bodyDocId": null, "description": "Structured definition of the problem: What? Who? Where? When? Scale?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "09e6a84a-3ca5-4bfb-94d8-8bd91b9f3d3d", "evidence": "framework/instance: Situation, Complication, Solution", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:29:03.047751+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 3, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "cc3b6085-feec-4cd1-9c15-657c9de5024b", "evidence": "Uses the classic Situation-Complication-Solution structure to frame the problem and solution.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 16:26:14.974+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 3, "frameworkName": "before-after-bridge" }, { "matchId": "89957f96-56a4-4001-bc4a-cbaecddc33e4", "evidence": "Segmentation of market into industry-agnostic vs industry-specific processes", "framework": null, "confidence": 0.6, "extraction": { "at": "2026-05-02 16:26:16.292+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 4, "frameworkName": "market-segmentation-pyramid" }, { "matchId": "52c9d4ce-4cb7-4860-a0b8-cfd317e46ea7", "evidence": "2D grid mapping automation levels vs use cases", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 16:26:12.701+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "frameworkName": "matrix-nxn" } ], "patterns": [] }, "storymakers": null, "score": null, "review": null, "activistThesis": null, "pitchdeck": { "metadata": { "author": "Martin Coulter", "fireId": "i2KMfFHzzxetZe89tTmb", "sector": "ai", "deckKind": "fundraise", "roundRaw": null, "amountRaw": "$11 million", "amountUsd": "11000000", "scrapedAt": "2026-04-27 09:12:46.453+00", "sectorRaw": "AI startup", "sourceUrl": "https://www.businessinsider.com/ai-startup-hypatos-pitch-deck-funding-2020-9", "deckKindAt": "2026-04-28 07:19:06+00", "highlights": "AI startup Hypatos has raised $11 million in a funding round backed by Europe's BlackFin Tech and Grazia Equity. The company uses artificial intelligence to automate back-end office processes;; such as processing invoices and receipts. Maxime Mandin;; investment director at BlackFin Tech;; said Hypatos solved a 'pain point' faced by many companies. Business Insider got an exclusive look at the pitch deck Hypatos used to bring investors on board. Visit Business Insider's homepage for more stories.", "slideCount": 9, "companyName": "Hypatos", "description": "AI startup Hypatos has raised $11 million in a funding round backed by Europe's BlackFin Tech and Grazia Equity. The company uses artificial intelligence to automate back-end office processes;; such as processing invoices and receipts. Maxime Mandin;; investment director at BlackFin Tech;; said Hypatos solved a 'pain point' faced by many companies. Business Insider got an exclusive look at the pitch deck Hypatos used to bring investors on board. Visit Business Insider's homepage for more stories. Hypatos;; the AI startup helping businesses process financial documents on a mass scale;; has raised $11 million in a funding round backed by European backers BlackFin Tech and Grazia Equity;; among other backers. Founded in 2018 by Uli Erxleben and Janosch Novak in Berlin;; Hypatos combines language processing AI and computer vision tech with a massive in-house training dataset;; allowing clients to process and and store huge amounts of information quickly. The tech allows firms to automate backend processes;; such as processing payslips;; receipts;; bank statements;; and other types of document. \"Processing large amounts of documents is a pain point in many industries and especially for the financial and insurance sectors;;\" said Maxime Mandin;; investment director at BlackFin Tech. Check out the pitch deck Hypatos used to bring investors on board below:", "displayName": "Hypatos", "publishDate": "2020-09-05", "roundSeries": null, "articleTitle": "We got an exclusive look at the pitch deck AI startup Hypatos used to raise $11 million", "leadInvestors": null, "deckKindSignal": "raise", "metaExtractedAt": "2026-04-28 07:16:02+00" }, "profile": { "scores": { "yc": 0.4217, "a16z": 0.3417, "docsend": 0.65, "hoffman": 0.2654, "mcclure": 0.4561, "sequoia": 0.3256, "kawasaki": 0.3417, "nextview": 0.2818, "slidebean": 0.2429, "founder_institute": 0.381 }, "nSlides": 9, "sequence": [ "cover", "solution", "problem_statement", "market_sizing", "solution", "product_demo", "use_of_funds", "solution", "team_bio" ], "breakdown": { "yc": { "order": 0.4444, "signal": 0.08, "jaccard": 0.4167 }, "a16z": { "order": 0.4444, "signal": 0, "jaccard": 0.4167 }, "docsend": { "order": 0.6667, "signal": 0.2, "jaccard": 0.5 }, "hoffman": { "order": 0.3333, "signal": 0.05, "jaccard": 0.2308 }, "mcclure": { "order": 0.4444, "signal": 0.05, "jaccard": 0.5455 }, "sequoia": { "order": 0.4444, "signal": 0, "jaccard": 0.3846 }, "kawasaki": { "order": 0.4444, "signal": 0, "jaccard": 0.4167 }, "nextview": { "order": 0.3333, "signal": 0, "jaccard": 0.3636 }, "slidebean": { "order": 0.3333, "signal": 0, "jaccard": 0.2857 }, "founder_institute": { "order": 0.5556, "signal": 0, "jaccard": 0.4286 } }, "matchedAt": "2026-04-27 21:51:54+00", "noveltyScore": 0.5, "primaryScore": 0.65, "noveltySignals": [ "rare slide types: use_of_funds", "duplicated ≥3×: solution" ], "primaryProfile": "docsend", "secondaryScore": 0.4561, "secondaryProfile": "mcclure" } }, "slides": [ { "page": 1, "type": "setup", "title": "Includes date and company URL.", "function": "front_matter", "imagePath": "https://imgproxy.kitesheet.com/6REb90ibn6G-uSXhZSSvqPMHii8bA2I1fZ2WowrYNds/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9pMktNZkZIenp4ZXRaZTg5dFRtYi9wMDAxLmpwZw", "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": 32, "componentCount": 5, "textChars": 134, "nDataPoints": 0, "notes": "Includes date and company URL.", "elementsJson": [ "headline_text" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:26:11.542+00", "seconds": 2.169, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5f69-752d-a9ba-f06d756d3735/1", "deck": "/decks/019dd923-5f69-752d-a9ba-f06d756d3735", "deckAnchor": "/decks/019dd923-5f69-752d-a9ba-f06d756d3735#slide-1", "deckJson": "/decks/019dd923-5f69-752d-a9ba-f06d756d3735.json" }, "components": [ { "bbox": { "h": 0.02, "w": 0.08, "x": 0.9, "y": 0.94 }, "kind": "paragraph", "text": "hypatos.ai", "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 16:26:11.542+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1e77cdf8-0c46-46f2-bc5f-07fe62c0aba0", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.08, "x": 0.055, "y": 0.94 }, "kind": "paragraph", "text": "June, 2020", "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 16:26:11.542+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6022409f-1ac0-480f-8097-920ce84bfdd3", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.4, "x": 0.24, "y": 0.685 }, "kind": "paragraph", "text": "Hypatos company introduction for investors", "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 16:26:11.542+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bf87e0ab-0ce9-4c80-a850-870e2a81be8e", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.65, "x": 0.24, "y": 0.395 }, "kind": "title", "text": "Cognitive process automation for document-based back office tasks", "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 16:26:11.542+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "02e3844e-923b-4c33-b6aa-016e5fd90895", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.1, "x": 0.168, "y": 0.235 }, "kind": "title", "text": "Hypatos", "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 16:26:11.542+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0773a9fc-5a1c-4bd6-a414-0e65d79a91a1", "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": "36c7091f-10f1-4880-8213-feb61bbb551f", "evidence": "title/action-title: Cognitive process automation for document-based back office tasks", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-16 22:29:02.914683+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/OjR3eYHUBtArJv8FdKOtrrW-0GGGjMjm-Tf2oOoliLo/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9pMktNZkZIenp4ZXRaZTg5dFRtYi9wMDAxLmpwZw", "imagePathAlt": "https://imgproxy.kitesheet.com/dTFaKBwQJR2r7dqLXWbdSe1cel9CO-H5-TB4obp02M0/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9pMktNZkZIenp4ZXRaZTg5dFRtYi9wMDAxLnBuZw", "thumbSrcAlt": "https://imgproxy.kitesheet.com/4JnZMj8LWkw-XvQuMnEghP93N_RXsHV7VaS6q3Ae-0E/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9pMktNZkZIenp4ZXRaZTg5dFRtYi9wMDAxLnBuZw" }, { "page": 2, "type": "setup", "title": "The slide uses a minimalist design with a brand logo and illustrative icons representing document processing.", "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": "sparse", "densityScore": 10, "componentCount": 2, "textChars": 132, "nDataPoints": 0, "notes": "The slide uses a minimalist design with a brand logo and illustrative icons representing document processing.", "elementsJson": [ "headline_text", "icon_grid" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:26:11.937+00", "seconds": 2.481, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5f69-752d-a9ba-f06d756d3735/2", "deck": "/decks/019dd923-5f69-752d-a9ba-f06d756d3735", "deckAnchor": "/decks/019dd923-5f69-752d-a9ba-f06d756d3735#slide-2", "deckJson": "/decks/019dd923-5f69-752d-a9ba-f06d756d3735.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.3, "x": 0.625, "y": 0.635 }, "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": "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 16:26:11.937+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c2dcd52d-300c-43c7-ac41-db8cbaaba4ab", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.75, "x": 0.09, "y": 0.2 }, "kind": "title", "text": "Hypatos offers deep learning tech to automate document-based back office tasks to improve work and make organisations more efficient", "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 16:26:11.937+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "86684692-6de1-40e5-9284-765b8548ed61", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [ { "to": 2, "from": 2, "loop": { "name": "11_golden_circle", "slug": "11-golden-circle", "status": "active", "bestFor": "Visionary leadership, brand positioning, mission statements", "canonId": "019dd956-6a50-7202-882d-505fcb9922ed", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Why (Belief) -> The How (Process) -> The What (Result)", "description": "Invert the typical pitch by starting with why you exist, rather than what you do", "familyLabel": null }, "matchId": "e09f697a-eb73-4a0f-9840-74115ee4f10b", "evidence": "Mission statement on page 2", "position": 1, "objective": "Why is Hypatos's mission important?", "confidence": 0.6, "extraction": { "at": "2026-07-17 03:18:44.291664+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 3, "type": "tension", "title": "Uses a classic Situation-Complication-Solution framework.", "function": "frame_problem", "rawType": "problem_statement", "block": null, "metadata": { "slideType": "problem_statement", "slideTypeCanon": { "name": "Problem statement", "slug": "problem_statement", "status": "active", "canonId": "019de52d-0879-768d-bba8-8da8a5a121d4", "version": 1, "description": null }, "function": "frame_problem", "functionCanon": { "name": "Frame problem", "slug": "frame_problem", "status": "active", "canonId": "019de52d-13db-753e-ad70-e9b2d0dab398", "version": 1, "description": null }, "density": "dense", "densityScore": 55, "componentCount": 6, "textChars": 309, "nDataPoints": 1, "notes": "Uses a classic Situation-Complication-Solution framework.", "elementsJson": [ "headline_text", "action_title", "process_diagram" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:26:14.974+00", "seconds": 5.481, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5f69-752d-a9ba-f06d756d3735/3", "deck": "/decks/019dd923-5f69-752d-a9ba-f06d756d3735", "deckAnchor": "/decks/019dd923-5f69-752d-a9ba-f06d756d3735#slide-3", "deckJson": "/decks/019dd923-5f69-752d-a9ba-f06d756d3735.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Back office work in many industries and functions is defined by manual document processing.", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 15:40:33+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-d064-717f-abc9-0ddead3677c9", "parentComponentId": null }, { "bbox": { "h": 0.65, "w": 0.88, "x": 0.06, "y": 0.25 }, "kind": "framework", "text": "Situation, Complication, Solution", "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 16:26:14.974+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d7639868-fdbf-484f-9abd-8c83a11da682", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.25, "x": 0.65, "y": 0.4 }, "kind": "list", "text": "Robotics (RPA) and Machine Learning", "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 16:26:14.974+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "17fed468-000a-465d-98a2-d1e3b3db9a6e", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.15, "x": 0.37, "y": 0.4 }, "kind": "list", "text": "Expensive, slow, error-prone, demotivating", "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 16:26:14.974+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bd1a8bcf-ebdf-4da3-b889-8e43dc78d2f2", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "annual corporate spending: $2 tn", "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": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 15:40:33+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-d064-717f-abc9-11083daa0acb", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.8, "x": 0.06, "y": 0.08 }, "kind": "title", "text": "Back office process automation addresses >$2 tn of annual corporate spending", "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 16:26:14.974+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d89db720-a2d6-46a1-ae7d-f72d08fecdff", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Before-After-Bridge", "slug": "before-after-bridge", "status": "active", "bestFor": null, "canonId": "019dd956-8604-7188-883f-42370288ad05", "version": 1, "bodyDocId": null, "description": "Narrative structure: Paint the before, show the after, explain the bridge", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "2f15c521-6edb-4a02-8ed2-353ff9a62812", "evidence": "Back office work in many industries and functions is defined by manual document processing.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.5, "extraction": { "at": "2026-07-16 22:29:03.090879+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 3, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Problem Statement Canvas", "slug": "problem-statement-canvas", "status": "active", "bestFor": null, "canonId": "019dd956-839d-744b-ad11-9bf3e3642a18", "version": 1, "bodyDocId": null, "description": "Structured definition of the problem: What? Who? Where? When? Scale?", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "slide", "agents": [ "Architect" ], "matchId": "09e6a84a-3ca5-4bfb-94d8-8bd91b9f3d3d", "evidence": "framework/instance: Situation, Complication, Solution", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-16 22:29:03.047751+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 3, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "cc3b6085-feec-4cd1-9c15-657c9de5024b", "evidence": "Uses the classic Situation-Complication-Solution structure to frame the problem and solution.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 16:26:14.974+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 3, "frameworkName": "before-after-bridge" } ], "arcBeats": [ { "to": 3, "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": 3, "name": "Problem", "beatId": "cf326ebd-b80a-494b-8763-5d9ff3522cf3", "matchId": "c69a339b-34b8-4705-93ec-00678511aa10", "beatType": { "name": "Problem", "slug": "sequoia-pitch-problem", "status": "active", "canonId": "019dd9b8-1ed4-767b-8e05-40e733bd2311", "version": 1, "description": null }, "evidence": "Problem statement on page 3", "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": 4, "from": 3, "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": "13597fbf-b31d-421d-90a4-c7bcef9c1312", "evidence": "Problem statement and market sizing", "position": 0, "objective": "What is the cost of not automating back office processes?", "confidence": 0.6, "extraction": { "at": "2026-07-17 03:18:44.260949+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 4, "type": "resolution", "title": "The footer provides the methodology for the 1.6 trillion USD top-down estimate.", "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": "dense", "densityScore": 71, "componentCount": 6, "textChars": 740, "nDataPoints": 1, "notes": "The footer provides the methodology for the 1.6 trillion USD top-down estimate.", "elementsJson": [ "donut_chart", "big_number", "bullet_list" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:26:16.292+00", "seconds": 6.343, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5f69-752d-a9ba-f06d756d3735/4", "deck": "/decks/019dd923-5f69-752d-a9ba-f06d756d3735", "deckAnchor": "/decks/019dd923-5f69-752d-a9ba-f06d756d3735#slide-4", "deckJson": "/decks/019dd923-5f69-752d-a9ba-f06d756d3735.json" }, "components": [ { "bbox": { "h": 0.5, "w": 0.33, "x": 0.33, "y": 0.315 }, "kind": "chart", "text": "2 tn", "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 16:26:16.292+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "42cc4cb0-ad45-4306-9c14-125084c1e5ca", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.88, "x": 0.06, "y": 0.92 }, "kind": "disclaimer", "text": "1.6 trillion USD top down market estimate is based on total outsourcing market (195bn USD; Grandviewresearch; 2017), share of companies that use outsourcing in HR, Finance, Procurement and Tax (50%; Deloitte; 2016) and assumption on share of outsourced processes (25%; correcting for IT and legal). Share of key processes is based on number of documents per process and Hypatos' client information on cost per process / document.", "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 16:26:16.292+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "396de4f9-50e8-4094-9b43-18285213eada", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.25, "x": 0.68, "y": 0.43 }, "kind": "list", "text": "Industry specific processes: Unsecured loan/mortgage processing, Loan/credit card applications, Insurance claims, Medical prescriptions", "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 16:26:16.292+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "28f18c08-5ff7-41ea-a8f3-d5f3cb57c674", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.25, "x": 0.06, "y": 0.43 }, "kind": "list", "text": "Industry agnostic processes: Accounts payable, Order-to-cash, Travel & expenses, Tax, Recruitment", "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 16:26:16.292+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f62afd50-93a7-4ebd-b3ed-ce82a5247090", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "TAM: $2tn", "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": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 15:40:32+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-d064-717f-abc8-a9a7fb38081a", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.8, "x": 0.06, "y": 0.1 }, "kind": "title", "text": "Back office process automation has 2 trillion USD market 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": "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 16:26:16.292+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ce899b4e-332c-4ed4-8fb0-02171a4a284f", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "89957f96-56a4-4001-bc4a-cbaecddc33e4", "evidence": "Segmentation of market into industry-agnostic vs industry-specific processes", "framework": null, "confidence": 0.6, "extraction": { "at": "2026-05-02 16:26:16.292+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 4, "frameworkName": "market-segmentation-pyramid" } ], "arcBeats": [ { "to": 4, "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": 4, "name": "Market Size", "beatId": "07a8cc27-9ddd-4161-abe1-ed66d05b4654", "matchId": "c69a339b-34b8-4705-93ec-00678511aa10", "beatType": { "name": "Market Size", "slug": "sequoia-pitch-market-size", "status": "active", "canonId": "019dd9b8-20e6-729c-bc28-05442906d032", "version": 1, "description": null }, "evidence": "Market sizing on page 4", "position": 1, "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": 4, "from": 3, "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": "13597fbf-b31d-421d-90a4-c7bcef9c1312", "evidence": "Problem statement and market sizing", "position": 0, "objective": "What is the cost of not automating back office processes?", "confidence": 0.6, "extraction": { "at": "2026-07-17 03:18:44.260949+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 5, "type": "resolution", "title": "The slide uses a table-like structure to categorize services and a visual example of document processing.", "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": "dense", "densityScore": 54, "componentCount": 5, "textChars": 565, "nDataPoints": 0, "notes": "The slide uses a table-like structure to categorize services and a visual example of document processing.", "elementsJson": [ "headline_text", "action_title", "data_table", "screenshot", "icon_grid" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:26:14.963+00", "seconds": 5.009, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5f69-752d-a9ba-f06d756d3735/5", "deck": "/decks/019dd923-5f69-752d-a9ba-f06d756d3735", "deckAnchor": "/decks/019dd923-5f69-752d-a9ba-f06d756d3735#slide-5", "deckJson": "/decks/019dd923-5f69-752d-a9ba-f06d756d3735.json" }, "components": [ { "bbox": null, "kind": "callout", "text": "Hypatos combines computer vision with NLP tech to offer powerful automation services for integration in existing systems", "attrs": null, "canon": { "kind": { "name": "Callout", "slug": "callout", "status": "active", "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2", "version": 1, "description": "Highlighted callout box." }, "tool": { "name": "Visual emphasis", "slug": "visual-emphasis", "status": "active", "bestFor": null, "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c", "version": 1, "bodyDocId": null, "description": "Drawing the eye to one element above the rest of the slide.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 15:40:32+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-d064-717f-abc8-5ef44aa1583f", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.45, "x": 0.52, "y": 0.25 }, "kind": "image", "text": "Document processing example with callouts for NLP and computer vision.", "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": "Illustration", "slug": "illustration", "status": "active", "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615", "version": 1, "description": null }, "framework": null }, "subkind": "illustration", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:26:14.963+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f10d9d59-d186-4a43-a3b9-a0e5e7760f59", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.45, "x": 0.52, "y": 0.85 }, "kind": "list", "text": "Large data sets from complex docs, High accuracy with transparent confidence indicators, High adaptability to long-tail and edge cases, No templates or other manual rules needed", "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 16:26:14.963+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d73a7a3a-543e-4d09-a3d7-3dd9aa955474", "parentComponentId": null }, { "bbox": { "h": 0.65, "w": 0.45, "x": 0.06, "y": 0.25 }, "kind": "table", "text": "Automation services, Model training, Delivery options, and their descriptions.", "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 16:26:14.963+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7e070ad2-5cd1-43c6-842a-a5df5e95cb50", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.88, "x": 0.06, "y": 0.1 }, "kind": "title", "text": "Hypatos combines computer vision with NLP tech to offer powerful automation services for integration in existing systems", "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 16:26:14.963+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "76b492bd-b011-42a4-afa2-3f54e4cdb495", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 5, "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": 5, "name": "Solution", "beatId": "ca53a624-3954-4326-8a88-5e0967896bf7", "matchId": "c69a339b-34b8-4705-93ec-00678511aa10", "beatType": { "name": "Solution", "slug": "sequoia-pitch-solution", "status": "active", "canonId": "019dd9b8-1fb1-71d9-a260-07738d7f9c2f", "version": 1, "description": null }, "evidence": "Solution on page 5", "position": 2, "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": 6, "type": "setup", "title": "Includes a code snippet for the model service and a UI screenshot for the studio.", "function": "present_solution", "rawType": "product_demo", "block": null, "metadata": { "slideType": "product_demo", "slideTypeCanon": { "name": "Product demo", "slug": "product_demo", "status": "active", "canonId": "019de52d-0f06-7288-84f2-7568c1020fce", "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": "dense", "densityScore": 55, "componentCount": 5, "textChars": 615, "nDataPoints": 0, "notes": "Includes a code snippet for the model service and a UI screenshot for the studio.", "elementsJson": [ "headline_text", "action_title", "paragraph", "screenshot" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:26:13.178+00", "seconds": 3.031, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5f69-752d-a9ba-f06d756d3735/6", "deck": "/decks/019dd923-5f69-752d-a9ba-f06d756d3735", "deckAnchor": "/decks/019dd923-5f69-752d-a9ba-f06d756d3735#slide-6", "deckJson": "/decks/019dd923-5f69-752d-a9ba-f06d756d3735.json" }, "components": [ { "bbox": { "h": 0.35, "w": 0.25, "x": 0.21, "y": 0.52 }, "kind": "image", "text": "Code snippet for TemporalBlock", "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 16:26:13.178+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "17ce121e-1fd2-4310-8daa-7422a6afd803", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.28, "x": 0.64, "y": 0.52 }, "kind": "image", "text": "Hypatos Studio UI", "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 16:26:13.178+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8475eb6f-2e28-430a-89f3-f809c7777737", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.4, "x": 0.52, "y": 0.275 }, "kind": "paragraph", "text": "DEMO 2: Hypatos Studio. Machine learning pipeline software to annotate or complete document data and train machine learning models. Cloud and on-premise delivery to efficiently train models while protecting confidential data.", "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 16:26:13.178+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "36616368-e89f-42fa-9396-e529ffc829ed", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.38, "x": 0.07, "y": 0.275 }, "kind": "paragraph", "text": "DEMO 1: Pre-trained automation model services. Pre-engineered and trained machine learning models for automation of complex document based back office tasks. Delivered as backend services for integration in existing ECM, ERP, RPA or CRM systems.", "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 16:26:13.178+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9c5e9e5d-a7c8-464c-b528-7f2aeec86498", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.86, "x": 0.07, "y": 0.1 }, "kind": "title", "text": "DEMO: Pre-trained machine learning models for A/P automation and Hypatos Studio for model training", "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 16:26:13.178+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "dfb3ddc1-c7c9-4d08-aca0-cba693f787b9", "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": "Product Demo", "beatId": "3c8dd9f2-35d6-48dc-ade2-e44631b2a2e3", "matchId": "c69a339b-34b8-4705-93ec-00678511aa10", "beatType": { "name": "Product", "slug": "sequoia-pitch-product", "status": "active", "canonId": "019dd9b8-2259-77df-a937-8b665c8066fe", "version": 1, "description": null }, "evidence": "Product demo on page 6", "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": "resolution", "title": "The slide uses a four-column layout with icons to categorize the use of funds.", "function": "plan_implementation", "rawType": "use_of_funds", "block": null, "metadata": { "slideType": "use_of_funds", "slideTypeCanon": { "name": "Use of funds", "slug": "use_of_funds", "status": "active", "canonId": "019de52d-1045-737c-90e9-c79600f9e2c7", "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": "overcrowded", "densityScore": 76, "componentCount": 8, "textChars": 537, "nDataPoints": 1, "notes": "The slide uses a four-column layout with icons to categorize the use of funds.", "elementsJson": [ "headline_text", "action_title", "icon_grid", "bullet_list" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:26:13.601+00", "seconds": 3.348, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5f69-752d-a9ba-f06d756d3735/7", "deck": "/decks/019dd923-5f69-752d-a9ba-f06d756d3735", "deckAnchor": "/decks/019dd923-5f69-752d-a9ba-f06d756d3735#slide-7", "deckJson": "/decks/019dd923-5f69-752d-a9ba-f06d756d3735.json" }, "components": [ { "bbox": { "h": 0.03, "w": 0.1, "x": 0.06, "y": 0.23 }, "kind": "callout", "text": "Use of funds:", "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 16:26:13.601+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6d86c37f-40dd-4ac8-90a5-3a83acd53667", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.18, "x": 0.52, "y": 0.42 }, "kind": "list", "text": "Delivery team: Hiring for pre-sales/project management, solution architects, technical support.", "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 16:26:13.601+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0329ff92-fc9a-4d36-bbef-bd7a03a272bf", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.18, "x": 0.72, "y": 0.42 }, "kind": "list", "text": "Go to market: Hire marketing manager, sales reps, invest in PR, increase organic reach.", "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 16:26:13.601+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4d5f5f81-f470-4888-9588-2318f8be6c75", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.18, "x": 0.32, "y": 0.42 }, "kind": "list", "text": "Engineering: Build-up of team, Human in the Loop tool-set, platform integrations.", "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 16:26:13.601+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6b0b6cf2-b260-43ba-a149-d3791bf97062", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.18, "x": 0.12, "y": 0.42 }, "kind": "list", "text": "Machine learning: Hiring additional data scientists, automation of ML pipeline, new document use cases.", "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 16:26:13.601+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b5b052ae-75b8-461a-b63a-c966ff2d9629", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Funding amount: EUR ~10mn", "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": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 15:40:35+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-d064-717f-abca-917873adaac3", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.88, "x": 0.06, "y": 0.1 }, "kind": "title", "text": "We are looking for a EUR ~10mn round to continue with product work, client acquisition and delivery for next 24 months", "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 16:26:13.601+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e6d73769-5544-4628-badd-3cd0cb02a6b4", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.15, "x": 0.06, "y": 0.06 }, "kind": "title", "text": "Financing round", "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": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:26:13.601+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0dcfcf94-3a3a-4d04-8b25-262b2d66a0d5", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 7, "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": 7, "name": "Use of Funds", "beatId": "0e9d2923-0244-441a-9399-f696b626bd8a", "matchId": "c69a339b-34b8-4705-93ec-00678511aa10", "beatType": { "name": "The Ask", "slug": "sequoia-pitch-the-ask", "status": "active", "canonId": "019dd9b8-24f3-72bf-940a-74d06fd9396b", "version": 1, "description": null }, "evidence": "Use of funds on page 7", "position": 4, "isPrimaryArc": true, "parentBeatType": { "name": "Resolution", "slug": "resolution", "status": "active", "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b", "version": 1, "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution." }, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 8, "type": "resolution", "title": "The chart uses a blurred logo-grid to represent client traction across different process categories.", "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": 29, "componentCount": 4, "textChars": 226, "nDataPoints": 0, "notes": "The chart uses a blurred logo-grid to represent client traction across different process categories.", "elementsJson": [ "headline_text", "action_title", "other" ], "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:26:12.701+00", "seconds": 2.313, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5f69-752d-a9ba-f06d756d3735/8", "deck": "/decks/019dd923-5f69-752d-a9ba-f06d756d3735", "deckAnchor": "/decks/019dd923-5f69-752d-a9ba-f06d756d3735#slide-8", "deckJson": "/decks/019dd923-5f69-752d-a9ba-f06d756d3735.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.65, "x": 0.22, "y": 0.28 }, "kind": "chart", "text": "Focus use cases with example clients", "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": "Heatmap", "slug": "heatmap", "status": "active", "canonId": "019de52d-00cd-71ee-bf36-233b7817c304", "version": 1, "description": null }, "framework": null }, "subkind": "heatmap", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 16:26:12.701+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "612ff076-5330-4c91-acec-b02e6f37d654", "parentComponentId": null }, { "bbox": { "h": 0.6, "w": 0.15, "x": 0.06, "y": 0.3 }, "kind": "list", "text": "Document enrichment; Content validation; Data Capturing", "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 16:26:12.701+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1dca2a1d-2d29-479b-8ae5-295619561054", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.2, "x": 0.22, "y": 0.25 }, "kind": "source-note", "text": "1. Focus use cases with example clients", "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 16:26:12.701+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "908c7674-a1e8-46e0-a248-d931644bd843", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.8, "x": 0.06, "y": 0.1 }, "kind": "title", "text": "Hypatos focuses on the largest back office process use cases involving semi-structured documents", "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 16:26:12.701+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a51f2c5c-b191-418a-8213-5f0bcf1f937e", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "52c9d4ce-4cb7-4860-a0b8-cfd317e46ea7", "evidence": "2D grid mapping automation levels vs use cases", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 16:26:12.701+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "frameworkName": "matrix-nxn" } ], "arcBeats": [], "loops": [], "locked": true }, { "page": 9, "type": "setup", "title": "The slide highlights the professional background of three key executives and provides aggregate team statistics.", "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": "dense", "densityScore": 69, "componentCount": 9, "textChars": 306, "nDataPoints": 2, "notes": "The slide highlights the professional background of three key executives and provides aggregate team statistics.", "elementsJson": [ "headshot", "bullet_list", "big_number" ], "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 16:26:13.619+00", "seconds": 3.164, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019dd923-5f69-752d-a9ba-f06d756d3735/9", "deck": "/decks/019dd923-5f69-752d-a9ba-f06d756d3735", "deckAnchor": "/decks/019dd923-5f69-752d-a9ba-f06d756d3735#slide-9", "deckJson": "/decks/019dd923-5f69-752d-a9ba-f06d756d3735.json" }, "components": [ { "bbox": { "h": 0.33, "w": 0.22, "x": 0.065, "y": 0.19 }, "kind": "image", "text": "Dr. Uli Erxleben", "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 16:26:13.619+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0b684594-d1bf-4bdf-84f7-22b7c1ba06aa", "parentComponentId": null }, { "bbox": { "h": 0.33, "w": 0.22, "x": 0.715, "y": 0.19 }, "kind": "image", "text": "He Zhang, PhD", "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 16:26:13.619+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8135c4bc-e7a7-48f7-beff-30ebf11a55ca", "parentComponentId": null }, { "bbox": { "h": 0.33, "w": 0.22, "x": 0.39, "y": 0.19 }, "kind": "image", "text": "Cem Dilmegani", "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 16:26:13.619+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8393ebaa-e6e3-40d6-ab1d-f71a399e8884", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.04, "x": 0.595, "y": 0.85 }, "kind": "metric", "text": "150", "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 16:26:13.619+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b2998bf1-d0ea-4db7-86e3-c33bf58ad117", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.04, "x": 0.185, "y": 0.85 }, "kind": "metric", "text": "40+", "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 16:26:13.619+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e395221f-8d62-4b6f-9c65-c2e04ac52c58", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "years of cumulative tech work experience: 150", "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": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 15:40:34+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-d064-717f-abc9-c17f919267d7", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.12, "x": 0.645, "y": 0.84 }, "kind": "paragraph", "text": "years of cumulative tech work experience", "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 16:26:13.619+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "34e3026a-bc6e-4410-a6b9-99fbcf158cde", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.18, "x": 0.245, "y": 0.82 }, "kind": "paragraph", "text": "Data scientists, engineers and delivery professionals in Berlin and Warsaw with research degrees from among others Harvard and Oxford", "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 16:26:13.619+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ca1daf92-21ae-4bb7-9f4e-354af1884412", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.44, "x": 0.065, "y": 0.105 }, "kind": "title", "text": "Meet our international team and advisors", "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 16:26:13.619+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5dd15cf9-55c8-4c1a-845d-59747291523c", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true } ], "arcBeats": [ { "from": 3, "to": 3, "label": "Problem", "description": "Problem statement on page 3" }, { "from": 4, "to": 4, "label": "Market Size", "description": "Market sizing on page 4" }, { "from": 5, "to": 5, "label": "Solution", "description": "Solution on page 5" }, { "from": 6, "to": 6, "label": "Product Demo", "description": "Product demo on page 6" }, { "from": 7, "to": 7, "label": "Use of Funds", "description": "Use of funds on page 7" } ], "loops": [ { "from": 3, "to": 4, "label": "Cost Of Inaction", "description": "What is the cost of not automating back office processes?" }, { "from": 2, "to": 2, "label": "Golden Circle", "description": "Why is Hypatos's mission important?" } ] }