{ "schemaVersion": "deck-intelligence.v1", "id": "019de073-9cbe-768d-a7d1-8fc0965b655d", "slug": "4ccbe5a4f667a79f6253d55ec8458249", "title": "Absci | Investor Presentation Deck | 26 slides", "subtitle": "Absci · 2022-10", "author": "Absci", "date": "2022-10-01 00:00:00", "pageCount": 26, "kind": "pitchdeck", "orientation": "landscape", "aspectRatio": 1.7777778, "document": { "id": "019de073-9cbe-768d-a7d1-8fc0965b655d", "slug": "4ccbe5a4f667a79f6253d55ec8458249", "title": "Absci | Investor Presentation Deck | 26 slides", "rawTitle": "Absci | Investor Presentation Deck | 26 slides", "authorId": "absci", "authorName": "Absci", "authorDisplay": "Absci", "kind": { "slug": "pitchdeck", "label": "Pitch deck" }, "sourceType": { "slug": "investor_relations", "label": "Investor relations" }, "fileName": "2022-10__absci__investor-pres__4ccbe5a4.pdf", "sourceUrl": "https://www.slidebook.io/company/absci/presentation/4ccbe5a4f667a79f6253d55ec8458249/", "sourceDate": "2022-10-15 00:00:00", "presentationDate": "2022-10-01 00:00:00", "ingestedAt": "2026-04-30 22:12:46.50087+00", "status": "ready", "pageCount": 26, "orientation": "landscape", "aspectRatio": 1.7777778, "targetCompany": null, "targetTicker": null, "metadata": { "corpus": "slidebook", "industry": "biotechnology", "local_root": "/Users/miguelsuredasuau/Desktop/lalalalla/_scrape/slidebook/decks/2022-10__absci__investor-pres__4ccbe5a4", "image_width": 1920, "image_format": "jpg", "deck_type_raw": "Investor Presentation Deck", "deck_type_slug": null, "source_url_pattern": "https://www.slidebook.io/company/{company_slug}/presentation/{deck_id}/" } }, "coverage": { "pageCount": 26, "pagesIndexed": 26, "pagesWithImages": 26, "pagesWithMetadata": 26, "imageCoveragePct": 100, "metadataCoveragePct": 100, "componentCount": 127, "chartCount": 9, "metricSlides": 0, "toolMatches": 16, "documentToolMatches": 0, "frameworkMatches": 9, "arcMatches": 1, "beatMatches": 6, "loopMatches": 3, "patternMatches": 0, "storymakersMatch": false, "scoreAvailable": false, "reviewAvailable": false, "activistThesisAvailable": false, "pitchdeckMetadataAvailable": false, "pitchdeckProfileAvailable": false }, "blocks": [], "matches": { "arcs": [ { "arc": { "name": "The Sparkline", "slug": "sparkline", "status": "active", "bestFor": "Keynotes, TED-style talks", "canonId": "019dd956-606e-720c-905a-42607ac0bf50", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "What Is -> What Could Be -> What Is -> What Could Be -> New Bliss", "description": null, "familyLabel": null, "categoryName": "Narrative & Transformation", "categorySlug": "narrative-transformation" }, "matchId": "15c9bcfb-db43-404f-a0d7-fbbccfd0a7f5", "evidence": "The document follows a sparkline narrative arc, starting with the current situation, highlighting the complications, and showcasing Absci's solution and vision.", "isPrimary": true, "confidence": 0.8, "extraction": { "at": "2026-07-16 22:26:45.217861+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "beats": [ { "to": 4, "arc": { "name": "The Sparkline", "slug": "sparkline", "status": "active", "bestFor": "Keynotes, TED-style talks", "canonId": "019dd956-606e-720c-905a-42607ac0bf50", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "What Is -> What Could Be -> What Is -> What Could Be -> New Bliss", "description": null, "familyLabel": null, "categoryName": "Narrative & Transformation", "categorySlug": "narrative-transformation" }, "from": 3, "name": "Context", "beatId": "5f45832e-7555-43c1-836f-eadbc85ae43a", "matchId": "15c9bcfb-db43-404f-a0d7-fbbccfd0a7f5", "beatType": null, "evidence": "Slides 3-4 provide context on the breakthroughs in biotech and the challenges of biologic drug discovery", "position": 0, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 7, "arc": { "name": "The Sparkline", "slug": "sparkline", "status": "active", "bestFor": "Keynotes, TED-style talks", "canonId": "019dd956-606e-720c-905a-42607ac0bf50", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "What Is -> What Could Be -> What Is -> What Could Be -> New Bliss", "description": null, "familyLabel": null, "categoryName": "Narrative & Transformation", "categorySlug": "narrative-transformation" }, "from": 5, "name": "Problem Statement", "beatId": "f7a3673e-4709-4685-ab0b-d60572ad0c16", "matchId": "15c9bcfb-db43-404f-a0d7-fbbccfd0a7f5", "beatType": null, "evidence": "Slides 5-7 highlight the problems with biologic drug discovery", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 12, "arc": { "name": "The Sparkline", "slug": "sparkline", "status": "active", "bestFor": "Keynotes, TED-style talks", "canonId": "019dd956-606e-720c-905a-42607ac0bf50", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "What Is -> What Could Be -> What Is -> What Could Be -> New Bliss", "description": null, "familyLabel": null, "categoryName": "Narrative & Transformation", "categorySlug": "narrative-transformation" }, "from": 8, "name": "Solution", "beatId": "d377abd0-99f9-4a56-9765-07d21b9f9147", "matchId": "15c9bcfb-db43-404f-a0d7-fbbccfd0a7f5", "beatType": null, "evidence": "Slides 8-12 present Absci's solution, including its proprietary wet lab data and AI-enabled platform", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 11, "arc": { "name": "The Sparkline", "slug": "sparkline", "status": "active", "bestFor": "Keynotes, TED-style talks", "canonId": "019dd956-606e-720c-905a-42607ac0bf50", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "What Is -> What Could Be -> What Is -> What Could Be -> New Bliss", "description": null, "familyLabel": null, "categoryName": "Narrative & Transformation", "categorySlug": "narrative-transformation" }, "from": 11, "name": "Vision", "beatId": "ce1679bc-9221-42bb-9607-49def2b3b504", "matchId": "15c9bcfb-db43-404f-a0d7-fbbccfd0a7f5", "beatType": null, "evidence": "Slide 11 presents Absci's vision", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 18, "arc": { "name": "The Sparkline", "slug": "sparkline", "status": "active", "bestFor": "Keynotes, TED-style talks", "canonId": "019dd956-606e-720c-905a-42607ac0bf50", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "What Is -> What Could Be -> What Is -> What Could Be -> New Bliss", "description": null, "familyLabel": null, "categoryName": "Narrative & Transformation", "categorySlug": "narrative-transformation" }, "from": 16, "name": "Traction", "beatId": "56a1591b-9971-43d8-a12f-830b2585b445", "matchId": "15c9bcfb-db43-404f-a0d7-fbbccfd0a7f5", "beatType": null, "evidence": "Slides 16-18 showcase Absci's achievements and traction", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 21, "arc": { "name": "The Sparkline", "slug": "sparkline", "status": "active", "bestFor": "Keynotes, TED-style talks", "canonId": "019dd956-606e-720c-905a-42607ac0bf50", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "What Is -> What Could Be -> What Is -> What Could Be -> New Bliss", "description": null, "familyLabel": null, "categoryName": "Narrative & Transformation", "categorySlug": "narrative-transformation" }, "from": 20, "name": "Business Model", "beatId": "5ae5ca70-53a6-4285-af3d-a2035beaafe0", "matchId": "15c9bcfb-db43-404f-a0d7-fbbccfd0a7f5", "beatType": null, "evidence": "Slides 20-21 present Absci's business model", "position": 5, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 7, "from": 5, "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": "47614036-69cd-478a-9610-1e23cebf963c", "evidence": "Slides 5-7 emphasize the failures of biologic drug discovery", "position": 0, "objective": "Highlight the cost of inaction in biologic drug discovery", "confidence": 0.7, "extraction": { "at": "2026-07-16 22:26:45.466021+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } }, { "to": 4, "from": 3, "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": "c25d0068-b3a2-45ef-abf1-b740c83bf526", "evidence": "Slides 3-4 provide context on the breakthroughs in biotech and the challenges of biologic drug discovery", "position": 1, "objective": "Explain the why behind Absci's approach", "confidence": 0.6, "extraction": { "at": "2026-07-16 22:26:45.500233+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } }, { "to": 18, "from": 16, "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": "1d17ee96-095b-4a44-ad83-05b8abcc32f6", "evidence": "Slides 16-18 highlight Absci's achievements and traction", "position": 2, "objective": "Showcase Absci's achievements and traction", "confidence": 0.6, "extraction": { "at": "2026-07-16 22:26:45.534163+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "tools": [ { "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": "28e2b390-5106-446b-87b2-86e593f07057", "evidence": "~20^62 mAb CDR variants¹ exceeds ~10^80 atoms in the universe²", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:36:38.968047+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Authority citation", "slug": "authority-citation", "status": "active", "bestFor": null, "canonId": "019dd9e1-49ae-7557-89ad-3fca70469b45", "version": 1, "bodyDocId": null, "description": "Quoting an authority figure, study, or precedent to lend weight.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "43e0416f-eaf2-40a8-9261-7c9c95f72d41", "evidence": "*Paul, S., Mytelka, D., Dunwiddie, C. et al. How to improve R&D productivity: the pharmaceutical industry's grand challenge. Nat Rev Drug Discov 9, 203–214 (2010).", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:36:39.096073+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Venn diagram", "slug": "venn-diagram", "status": "active", "bestFor": null, "canonId": "019de52d-1f53-7290-96c8-79388c95fc17", "version": 1, "bodyDocId": null, "description": null, "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "c2f5fc6f-8d12-4424-8205-726a25b819cb", "evidence": "Overlapping circles representing expanded search space", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:36:04.187652+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Chartjunk Elimination", "slug": "chartjunk-elimination", "status": "active", "bestFor": null, "canonId": "019dd956-b49e-7453-ab01-b60f338eeda1", "version": 1, "bodyDocId": null, "description": "Remove decorative elements that don't convey data: 3D effects, shadows, unnecessary gridlines", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "facb65b8-93d7-4dd4-8d03-a7687c755737", "evidence": "Visual comparison of scale between ACE Assay (millions) and Traditional Screening (thousands)", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:36:04.261307+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Flywheel", "slug": "flywheel", "status": "active", "bestFor": null, "canonId": "019de52d-1ad8-75ab-9027-a40365590152", "version": 1, "bodyDocId": null, "description": null, "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "e26463a5-e8ea-40ea-91ec-d683a0c7bfa0", "evidence": "Flywheel diagram showing Synbio platform, Proprietary data, Denovium™ AI engine, and Target discovery technology", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-17 03:36:04.33041+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 10, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Process flow", "slug": "process-flow", "status": "active", "bestFor": null, "canonId": "019dd9e1-4dca-76bc-8135-401836a1c4c0", "version": 1, "bodyDocId": null, "description": "Workflow, steps, sequential diagram.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "42a0e113-25d6-4f6a-bebb-3a137953c15d", "evidence": "Flow from Disease to Drug via AI", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:36:04.396463+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 11, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Process flow", "slug": "process-flow", "status": "active", "bestFor": null, "canonId": "019dd9e1-4dca-76bc-8135-401836a1c4c0", "version": 1, "bodyDocId": null, "description": "Workflow, steps, sequential diagram.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "fda13731-6802-4a34-b381-2125dd0d58b9", "evidence": "Four-stage drug discovery process flow", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:36:04.462261+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 12, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Process flow", "slug": "process-flow", "status": "active", "bestFor": null, "canonId": "019dd9e1-4dca-76bc-8135-401836a1c4c0", "version": 1, "bodyDocId": null, "description": "Workflow, steps, sequential diagram.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "cdd46134-a375-40de-bd17-90049de15c1b", "evidence": "Lead optimization in silico: lead -> multiparametric optimization -> drug candidate", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:36:04.527036+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 13, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Process flow", "slug": "process-flow", "status": "active", "bestFor": null, "canonId": "019dd9e1-4dca-76bc-8135-401836a1c4c0", "version": 1, "bodyDocId": null, "description": "Workflow, steps, sequential diagram.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "b8963813-49ad-4bff-828d-d6f45a049ec2", "evidence": "De novo discovery in silico: target -> lead", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:36:04.560087+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 13, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Process flow", "slug": "process-flow", "status": "active", "bestFor": null, "canonId": "019dd9e1-4dca-76bc-8135-401836a1c4c0", "version": 1, "bodyDocId": null, "description": "Workflow, steps, sequential diagram.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "4ee1abf6-8015-4e18-ac7c-0cabcf0b2fdd", "evidence": "Lead optimization in silico: lead -> multiparametric optimization -> drug candidate", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:36:04.626457+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": "Process flow", "slug": "process-flow", "status": "active", "bestFor": null, "canonId": "019dd9e1-4dca-76bc-8135-401836a1c4c0", "version": 1, "bodyDocId": null, "description": "Workflow, steps, sequential diagram.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "10c4e96a-2451-4263-b500-e2760b67cc3e", "evidence": "De novo discovery in silico: target -> lead", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:36:04.659964+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": "Process flow", "slug": "process-flow", "status": "active", "bestFor": null, "canonId": "019dd9e1-4dca-76bc-8135-401836a1c4c0", "version": 1, "bodyDocId": null, "description": "Workflow, steps, sequential diagram.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "f29252be-da79-449c-8016-ad7c3575fd17", "evidence": "Goal: Parental mAb to mAb with desired affinity", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:36:04.730542+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 15, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Process flow", "slug": "process-flow", "status": "active", "bestFor": null, "canonId": "019dd9e1-4dca-76bc-8135-401836a1c4c0", "version": 1, "bodyDocId": null, "description": "Workflow, steps, sequential diagram.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "fa61f3d7-38f3-4e32-bfe5-40627b0dbb27", "evidence": "Overview of workflow: Lab assays to AI models", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:36:04.764064+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 15, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Process flow", "slug": "process-flow", "status": "active", "bestFor": null, "canonId": "019dd9e1-4dca-76bc-8135-401836a1c4c0", "version": 1, "bodyDocId": null, "description": "Workflow, steps, sequential diagram.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "d46d69bb-2c3d-4370-baa0-48f74db3ff45", "evidence": "Lead optimization in silico: lead -> multiparametric optimization -> drug candidate", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:36:04.897954+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 18, "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": "ad92cd4a-2db6-4eaa-a533-828c96cba422", "evidence": "chart/area: Value accumulation over development stages", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 00:11:14.508293+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 21, "whyItWorks": null, "antipattern": null, "cardinality": null, "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": "b4b472c3-f770-4a61-9d93-245e49d78b9d", "evidence": "title/headline: Investor Highlights Absci", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-17 00:11:14.701751+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 25, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [ { "matchId": "61e71814-bad7-4ed9-8b48-ba837a458be7", "evidence": "Comparison of small molecule drugs vs protein therapeutics", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 12:27:57.784+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 4, "frameworkName": "contrast-pairs" }, { "matchId": "5052281e-40fa-40c6-88f3-dd22ca9838a1", "evidence": "Compares the number of variants to the number of atoms in the universe to frame the scale of the problem.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 12:27:54.892+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "frameworkName": "argument-from-analogy" }, { "matchId": "4a8cdc29-050f-4cea-81cf-628b68d5697a", "evidence": "Uses a citation to support a specific failure rate statistic.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 12:27:58.702+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "frameworkName": "evidence-matrix" }, { "matchId": "89c79611-5d3c-4dd9-b18b-e1223a69073a", "evidence": "Overlapping circles used to illustrate the intersection and expansion of data sets", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 12:27:54.924+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "frameworkName": "venn" }, { "matchId": "1a6da581-4709-4bd3-bfbe-6ad64e5412c2", "evidence": "Visual comparison of geometric clusters to represent scale of screening throughput", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 12:27:54.725+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "frameworkName": "metaphor-analogy" }, { "matchId": "bb34ec81-d12a-48d7-b542-9f4b5fa083c0", "evidence": "The diagram depicts a circular, iterative process where components feed into each other to create momentum.", "framework": null, "confidence": 0.95, "extraction": { "at": "2026-05-02 12:27:56.197+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 10, "frameworkName": "flywheel" }, { "matchId": "cd73adb5-2379-4981-acc7-e20d10178b71", "evidence": "The slide depicts a sequential workflow from patient cohort to manufacturing.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 12:27:56.011+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 12, "frameworkName": "process" }, { "matchId": "effd2d60-290c-46ff-80a9-6c20a306fc0f", "evidence": "The slide uses a step-by-step flow to explain the drug creation platform.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 12:27:56.114+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 13, "frameworkName": "process" }, { "matchId": "43e342bc-9d75-44c1-8101-47a809282010", "evidence": "Depicts the progression of drug development stages and associated revenue capture.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 12:27:56.917+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 21, "frameworkName": "value-chain" } ], "patterns": [] }, "storymakers": null, "score": null, "review": null, "activistThesis": null, "pitchdeck": { "metadata": null, "profile": null }, "slides": [ { "page": 1, "type": "setup", "title": "Includes company logo, tagline, date, and copyright notice.", "function": "front_matter", "imagePath": "https://imgproxy.kitesheet.com/Ly2kWfgr3_Yc-bXvFyvcGyPcdlRMFb8nSzmBtnJeb-k/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy80Y2NiZTVhNGY2NjdhNzlmNjI1M2Q1NWVjODQ1ODI0OS9wMDAxLmpwZw", "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": 38, "componentCount": 6, "textChars": 113, "nDataPoints": 0, "notes": "Includes company logo, tagline, date, and copyright notice.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 12:27:53.574+00", "seconds": 2.433, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de073-9cbe-768d-a7d1-8fc0965b655d/1", "deck": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d", "deckAnchor": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d#slide-1", "deckJson": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d.json" }, "components": [ { "bbox": { "h": 0.05, "w": 0.25, "x": 0.7, "y": 0.9 }, "kind": "disclaimer", "text": "©2022 Absci Corporation. All Rights Reserved.", "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 12:27:53.574+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b19df4a9-577f-4705-84c8-3b9cdf100790", "parentComponentId": null }, { "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": "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 12:27:53.574+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "dc2b4cc2-4e29-4ef7-8484-b1c00088a02a", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.2, "x": 0.05, "y": 0.55 }, "kind": "paragraph", "text": "Corporate Presentation", "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 12:27:53.574+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "dad921da-4cb5-4532-92b8-6a50acff1b46", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.1, "x": 0.05, "y": 0.9 }, "kind": "paragraph", "text": "October 2022", "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 12:27:53.574+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fee36a28-f6df-4884-baf3-df33bb1e5344", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.4, "x": 0.05, "y": 0.35 }, "kind": "title", "text": "We translate ideas into drugs", "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 12:27:53.574+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "50cd5a6c-6b6e-4235-93c0-f5efdc516d78", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.2, "x": 0.05, "y": 0.05 }, "kind": "title", "text": "absci", "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 12:27:53.574+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7330ab85-2853-4507-866e-5280a8e3f2ae", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "thumbSrc": "https://imgproxy.kitesheet.com/m_8wOYhh3ukwTKT2VttO7-BAWf5kQbUVONNJgfaXgyw/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy80Y2NiZTVhNGY2NjdhNzlmNjI1M2Q1NWVjODQ1ODI0OS9wMDAxLmpwZw", "imagePathAlt": "https://imgproxy.kitesheet.com/Xlf3zYwJN3pcu5TsGQNK7aGFkVGrInM7LqTTPOSlCgg/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy80Y2NiZTVhNGY2NjdhNzlmNjI1M2Q1NWVjODQ1ODI0OS9wMDAxLnBuZw", "thumbSrcAlt": "https://imgproxy.kitesheet.com/T6SsMAEIn7BoHXOdexf4CQS73h7hcgbDV1iz-LZTZxQ/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy80Y2NiZTVhNGY2NjdhNzlmNjI1M2Q1NWVjODQ1ODI0OS9wMDAxLnBuZw" }, { "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": "dense", "densityScore": 51, "componentCount": 5, "textChars": 496, "nDataPoints": 0, "notes": null, "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 12:27:58.46+00", "seconds": 7.157, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de073-9cbe-768d-a7d1-8fc0965b655d/2", "deck": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d", "deckAnchor": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d#slide-2", "deckJson": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d.json" }, "components": [ { "bbox": { "h": 0.22, "w": 0.93, "x": 0.035, "y": 0.675 }, "kind": "disclaimer", "text": "Trademark usage: This presentation/document/webpage contains references to our trademarks and service marks and to those belonging to third parties...", "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 12:27:58.46+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6a11e91e-aa62-42da-923f-399cce94d0b5", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.93, "x": 0.035, "y": 0.575 }, "kind": "disclaimer", "text": "Market and Statistical Information: This presentation also contains estimates and other statistical data made by independent parties...", "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 12:27:58.46+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "889d95d2-31be-4838-88b7-bf7f159da366", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.93, "x": 0.035, "y": 0.155 }, "kind": "disclaimer", "text": "Forward-Looking Statements: Certain statements in this presentation that are not historical facts are considered forward-looking within the meaning of Section 27A of the Securities Act of 1933...", "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 12:27:58.46+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e0b746f3-d155-4989-bdb5-01d5405158a9", "parentComponentId": null }, { "bbox": { "h": 0.04, "w": 0.09, "x": 0.035, "y": 0.935 }, "kind": "image", "text": "absci", "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 12:27:58.46+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c895835a-0e2e-4cf0-89bc-305683f6a104", "parentComponentId": null }, { "bbox": { "h": 0.055, "w": 0.205, "x": 0.035, "y": 0.055 }, "kind": "title", "text": "Disclaimers", "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 12:27:58.46+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "23f9efe0-6711-4086-a35c-4bc40e26c690", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 3, "type": "setup", "title": "The slide uses a scientific citation to establish credibility for the claim.", "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": 37, "componentCount": 4, "textChars": 264, "nDataPoints": 2, "notes": "The slide uses a scientific citation to establish credibility for the claim.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 12:27:53.831+00", "seconds": 2.218, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de073-9cbe-768d-a7d1-8fc0965b655d/3", "deck": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d", "deckAnchor": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d#slide-3", "deckJson": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d.json" }, "components": [ { "bbox": { "h": 0.7, "w": 0.4, "x": 0.55, "y": 0.1 }, "kind": "image", "text": "3D protein structure visualization", "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 12:27:53.831+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3b01a111-4a84-4dcc-94d2-31f16b426def", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.3, "x": 0.6, "y": 0.77 }, "kind": "metric", "text": "r.m.s.d.95 = 2.2 Å; TM-score = 0.96", "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 12:27:53.831+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f0e7a3fd-db2f-4eb0-a965-7810b5462112", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.35, "x": 0.57, "y": 0.83 }, "kind": "source-note", "text": "Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583–589 (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 12:27:53.831+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cedb1f95-ef0f-418f-9fb6-4a2516ffb9f4", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.45, "x": 0.05, "y": 0.25 }, "kind": "title", "text": "One of the biggest breakthroughs in biotech came from big tech AI", "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 12:27:53.831+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5677b119-cd3a-459f-a78d-ffca7099c7dc", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 4, "arc": { "name": "The Sparkline", "slug": "sparkline", "status": "active", "bestFor": "Keynotes, TED-style talks", "canonId": "019dd956-606e-720c-905a-42607ac0bf50", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "What Is -> What Could Be -> What Is -> What Could Be -> New Bliss", "description": null, "familyLabel": null }, "from": 3, "name": "Context", "beatId": "5f45832e-7555-43c1-836f-eadbc85ae43a", "matchId": "15c9bcfb-db43-404f-a0d7-fbbccfd0a7f5", "beatType": null, "evidence": "Slides 3-4 provide context on the breakthroughs in biotech and the challenges of biologic drug discovery", "position": 0, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 4, "from": 3, "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": "c25d0068-b3a2-45ef-abf1-b740c83bf526", "evidence": "Slides 3-4 provide context on the breakthroughs in biotech and the challenges of biologic drug discovery", "position": 1, "objective": "Explain the why behind Absci's approach", "confidence": 0.6, "extraction": { "at": "2026-07-16 22:26:45.500233+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 4, "type": "setup", "title": "The slide uses a contrast-pair framework to justify the need for Absci's proprietary technology.", "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": "dense", "densityScore": 65, "componentCount": 6, "textChars": 500, "nDataPoints": 2, "notes": "The slide uses a contrast-pair framework to justify the need for Absci's proprietary technology.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 12:27:57.784+00", "seconds": 6.15, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de073-9cbe-768d-a7d1-8fc0965b655d/4", "deck": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d", "deckAnchor": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d#slide-4", "deckJson": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.94, "x": 0.03, "y": 0.75 }, "kind": "callout", "text": "Training AI models requires high-quality data on multiple parameters to optimize desired drug function, manufacturability, developability, and immunogenicity - Absci’s proprietary assays are capable of characterizing complex biologics and generating billions of high-quality data points to train AI", "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 12:27:57.784+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d6f3ee36-9a53-44ee-8b63-7f41d444981f", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.11, "x": 0.03, "y": 0.39 }, "kind": "image", "text": "Aspirin molecule", "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 12:27:57.784+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ca447cc3-aef8-4b8e-adc5-eb5521239c76", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.25, "x": 0.72, "y": 0.39 }, "kind": "image", "text": "Monoclonal antibody molecule", "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 12:27:57.784+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e67c04a1-42bc-4184-983d-c535a3f7e8e8", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.74, "x": 0.13, "y": 0.35 }, "kind": "list", "text": "Small molecule drugs vs Protein therapeutics", "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": "Comparison list", "slug": "comparison", "status": "active", "canonId": "019de52c-fce7-733e-99d3-030a104727bf", "version": 1, "description": null }, "framework": null }, "subkind": "comparison", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 12:27:57.784+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "646a89da-b8ce-494f-ba64-ada369258475", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.94, "x": 0.03, "y": 0.11 }, "kind": "title", "text": "Proteins are complex, making it difficult to generate the quality of data needed for training AI models", "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 12:27:57.784+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "01d9e2f5-cc8f-42a6-83e5-b6edb8ce7a9f", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.11, "x": 0.03, "y": 0.06 }, "kind": "title", "text": "The Context", "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 12:27:57.784+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4298d01f-3641-4349-8565-700eabadd234", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [ { "matchId": "61e71814-bad7-4ed9-8b48-ba837a458be7", "evidence": "Comparison of small molecule drugs vs protein therapeutics", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 12:27:57.784+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 4, "frameworkName": "contrast-pairs" } ], "arcBeats": [ { "to": 4, "arc": { "name": "The Sparkline", "slug": "sparkline", "status": "active", "bestFor": "Keynotes, TED-style talks", "canonId": "019dd956-606e-720c-905a-42607ac0bf50", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "What Is -> What Could Be -> What Is -> What Could Be -> New Bliss", "description": null, "familyLabel": null }, "from": 3, "name": "Context", "beatId": "5f45832e-7555-43c1-836f-eadbc85ae43a", "matchId": "15c9bcfb-db43-404f-a0d7-fbbccfd0a7f5", "beatType": null, "evidence": "Slides 3-4 provide context on the breakthroughs in biotech and the challenges of biologic drug discovery", "position": 0, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 4, "from": 3, "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": "c25d0068-b3a2-45ef-abf1-b740c83bf526", "evidence": "Slides 3-4 provide context on the breakthroughs in biotech and the challenges of biologic drug discovery", "position": 1, "objective": "Explain the why behind Absci's approach", "confidence": 0.6, "extraction": { "at": "2026-07-16 22:26:45.500233+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 5, "type": "tension", "title": "Uses an analogy to frame the scale of the problem.", "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": "balanced", "densityScore": 41, "componentCount": 4, "textChars": 328, "nDataPoints": 2, "notes": "Uses an analogy to frame the scale of the problem.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 12:27:54.892+00", "seconds": 3.177, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de073-9cbe-768d-a7d1-8fc0965b655d/5", "deck": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d", "deckAnchor": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d#slide-5", "deckJson": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d.json" }, "components": [ { "bbox": { "h": 0.042, "w": 0.822, "x": 0.058, "y": 0.00378 }, "kind": "paragraph", "text": "~20^62 mAb CDR variants¹ exceeds ~10^80 atoms in the universe²", "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 12:27:54.892+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d19282f9-2205-4a4f-959d-547c987d94c0", "parentComponentId": null }, { "bbox": { "h": 0.033, "w": 0.641, "x": 0.036, "y": 0.00871 }, "kind": "source-note", "text": "¹Assuming 62 positions (6 unique CDRs of approximately 7-13 residues in length) to vary with 20 possible amino acids per position\n²https://www.thoughtco.com/number-of-atoms-in-the-universe-603795", "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 12:27:54.892+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c9bff33d-560b-493d-8c76-4ad6b7c66720", "parentComponentId": null }, { "bbox": { "h": 0.033, "w": 0.114, "x": 0.036, "y": 0.068 }, "kind": "title", "text": "The Problem", "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 12:27:54.892+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9872c20a-658a-473b-b014-86d382f7a332", "parentComponentId": null }, { "bbox": { "h": 0.068, "w": 0.928, "x": 0.036, "y": 0.001118 }, "kind": "title", "text": "Biologic drug discovery is a complex combinatorial challenge", "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 12:27:54.892+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9b9be4bd-73d8-4ed7-8f94-0060c957d18d", "parentComponentId": null } ], "metrics": [], "tools": [ { "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": "28e2b390-5106-446b-87b2-86e593f07057", "evidence": "~20^62 mAb CDR variants¹ exceeds ~10^80 atoms in the universe²", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:36:38.968047+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "5052281e-40fa-40c6-88f3-dd22ca9838a1", "evidence": "Compares the number of variants to the number of atoms in the universe to frame the scale of the problem.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 12:27:54.892+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 5, "frameworkName": "argument-from-analogy" } ], "arcBeats": [ { "to": 7, "arc": { "name": "The Sparkline", "slug": "sparkline", "status": "active", "bestFor": "Keynotes, TED-style talks", "canonId": "019dd956-606e-720c-905a-42607ac0bf50", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "What Is -> What Could Be -> What Is -> What Could Be -> New Bliss", "description": null, "familyLabel": null }, "from": 5, "name": "Problem Statement", "beatId": "f7a3673e-4709-4685-ab0b-d60572ad0c16", "matchId": "15c9bcfb-db43-404f-a0d7-fbbccfd0a7f5", "beatType": null, "evidence": "Slides 5-7 highlight the problems with biologic drug discovery", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 7, "from": 5, "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": "47614036-69cd-478a-9610-1e23cebf963c", "evidence": "Slides 5-7 emphasize the failures of biologic drug discovery", "position": 0, "objective": "Highlight the cost of inaction in biologic drug discovery", "confidence": 0.7, "extraction": { "at": "2026-07-16 22:26:45.466021+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 6, "type": "tension", "title": "Uses a simple visual metaphor of a subset circle to represent the scarcity of viable drug candidates.", "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": "balanced", "densityScore": 36, "componentCount": 5, "textChars": 202, "nDataPoints": 0, "notes": "Uses a simple visual metaphor of a subset circle to represent the scarcity of viable drug candidates.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 12:27:54.314+00", "seconds": 2.572, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de073-9cbe-768d-a7d1-8fc0965b655d/6", "deck": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d", "deckAnchor": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d#slide-6", "deckJson": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d.json" }, "components": [ { "bbox": { "h": 0.139, "w": 0.139, "x": 0.409, "y": 0.456 }, "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": "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 12:27:54.314+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f2be2d73-1d62-4588-a6b4-593cfad814bf", "parentComponentId": null }, { "bbox": { "h": 0.054, "w": 0.213, "x": 0.314, "y": 0.81 }, "kind": "legend", "text": "Subset of biologically viable mAbs", "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 12:27:54.314+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c294bab2-3f43-4049-ab53-9280189ab318", "parentComponentId": null }, { "bbox": { "h": 0.118, "w": 0.815, "x": 0.036, "y": 0.25 }, "kind": "paragraph", "text": "Only a subset of these sequences are biologically viable (i.e., sequences that are developable, non-immunogenic, etc.)", "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 12:27:54.314+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e6b57b9e-8c05-4c25-bc1b-f22a1741aec1", "parentComponentId": null }, { "bbox": { "h": 0.064, "w": 0.578, "x": 0.036, "y": 0.118 }, "kind": "title", "text": "Biologic drug discovery fails too often", "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 12:27:54.314+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "121764d5-5697-4a22-a26e-bf194e33f543", "parentComponentId": null }, { "bbox": { "h": 0.028, "w": 0.114, "x": 0.036, "y": 0.068 }, "kind": "title", "text": "The Problem", "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 12:27:54.314+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "54efca49-c5c8-4f8b-8305-bc47d405fd1d", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 7, "arc": { "name": "The Sparkline", "slug": "sparkline", "status": "active", "bestFor": "Keynotes, TED-style talks", "canonId": "019dd956-606e-720c-905a-42607ac0bf50", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "What Is -> What Could Be -> What Is -> What Could Be -> New Bliss", "description": null, "familyLabel": null }, "from": 5, "name": "Problem Statement", "beatId": "f7a3673e-4709-4685-ab0b-d60572ad0c16", "matchId": "15c9bcfb-db43-404f-a0d7-fbbccfd0a7f5", "beatType": null, "evidence": "Slides 5-7 highlight the problems with biologic drug discovery", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 7, "from": 5, "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": "47614036-69cd-478a-9610-1e23cebf963c", "evidence": "Slides 5-7 emphasize the failures of biologic drug discovery", "position": 0, "objective": "Highlight the cost of inaction in biologic drug discovery", "confidence": 0.7, "extraction": { "at": "2026-07-16 22:26:45.466021+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 7, "type": "tension", "title": "Uses a simple Venn-like diagram to illustrate the small subset of successful drugs.", "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": 56, "componentCount": 6, "textChars": 317, "nDataPoints": 1, "notes": "Uses a simple Venn-like diagram to illustrate the small subset of successful drugs.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 12:27:58.702+00", "seconds": 6.942, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de073-9cbe-768d-a7d1-8fc0965b655d/7", "deck": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d", "deckAnchor": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d#slide-7", "deckJson": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d.json" }, "components": [ { "bbox": { "h": 0.05, "w": 0.25, "x": 0.23, "y": 0.75 }, "kind": "callout", "text": "Conventional drug discovery candidates", "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 12:27:58.702+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "479ad3fa-526d-49b0-adca-19b598f904da", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.25, "x": 0.59, "y": 0.47 }, "kind": "callout", "text": "Only 4%* of drugs that make it from discovery to commercial launch", "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 12:27:58.702+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fe8e33db-e5e9-4d42-85e1-58e7df8ba5e4", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.2, "x": 0.37, "y": 0.46 }, "kind": "diagram", "text": null, "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": "Venn diagram", "slug": "venn", "status": "active", "canonId": "019de52d-0463-710d-b529-cce18d828d2f", "version": 1, "description": null }, "framework": null }, "subkind": "venn", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 12:27:58.702+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d1bd1212-5db6-4643-99e8-25c30b416766", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.8, "x": 0.035, "y": 0.9 }, "kind": "source-note", "text": "*Paul, S., Mytelka, D., Dunwiddie, C. et al. How to improve R&D productivity: the pharmaceutical industry's grand challenge. Nat Rev Drug Discov 9, 203–214 (2010).", "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 12:27:58.702+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ea8feafc-7729-4a7e-9db1-a21e647e55a6", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.45, "x": 0.035, "y": 0.115 }, "kind": "title", "text": "Biologic drug discovery fails too often", "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 12:27:58.702+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cc8aa1c8-4afa-4ae7-9619-252512303e22", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.1, "x": 0.035, "y": 0.065 }, "kind": "title", "text": "The Problem", "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 12:27:58.702+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "359073a4-d2e9-4b77-ae5a-167f9feefb11", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Authority citation", "slug": "authority-citation", "status": "active", "bestFor": null, "canonId": "019dd9e1-49ae-7557-89ad-3fca70469b45", "version": 1, "bodyDocId": null, "description": "Quoting an authority figure, study, or precedent to lend weight.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "43e0416f-eaf2-40a8-9261-7c9c95f72d41", "evidence": "*Paul, S., Mytelka, D., Dunwiddie, C. et al. How to improve R&D productivity: the pharmaceutical industry's grand challenge. Nat Rev Drug Discov 9, 203–214 (2010).", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:36:39.096073+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [ { "matchId": "4a8cdc29-050f-4cea-81cf-628b68d5697a", "evidence": "Uses a citation to support a specific failure rate statistic.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 12:27:58.702+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 7, "frameworkName": "evidence-matrix" } ], "arcBeats": [ { "to": 7, "arc": { "name": "The Sparkline", "slug": "sparkline", "status": "active", "bestFor": "Keynotes, TED-style talks", "canonId": "019dd956-606e-720c-905a-42607ac0bf50", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "What Is -> What Could Be -> What Is -> What Could Be -> New Bliss", "description": null, "familyLabel": null }, "from": 5, "name": "Problem Statement", "beatId": "f7a3673e-4709-4685-ab0b-d60572ad0c16", "matchId": "15c9bcfb-db43-404f-a0d7-fbbccfd0a7f5", "beatType": null, "evidence": "Slides 5-7 highlight the problems with biologic drug discovery", "position": 1, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 7, "from": 5, "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": "47614036-69cd-478a-9610-1e23cebf963c", "evidence": "Slides 5-7 emphasize the failures of biologic drug discovery", "position": 0, "objective": "Highlight the cost of inaction in biologic drug discovery", "confidence": 0.7, "extraction": { "at": "2026-07-16 22:26:45.466021+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 8, "type": "resolution", "title": "Uses a Venn diagram-like visual to represent the expansion of searchable sequence space.", "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": 4, "textChars": 190, "nDataPoints": 0, "notes": "Uses a Venn diagram-like visual to represent the expansion of searchable sequence space.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 12:27:54.924+00", "seconds": 3.012, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de073-9cbe-768d-a7d1-8fc0965b655d/8", "deck": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d", "deckAnchor": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d#slide-8", "deckJson": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d.json" }, "components": [ { "bbox": { "h": 0.245, "w": 0.138, "x": 0.375, "y": 0.468 }, "kind": "diagram", "text": "Overlapping circles representing expanded search space", "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": "Venn diagram", "slug": "venn", "status": "active", "canonId": "019de52d-0463-710d-b529-cce18d828d2f", "version": 1, "description": null }, "framework": null }, "subkind": "venn", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 12:27:54.924+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8e8075c4-507d-4ec0-a875-c5be13f0ada0", "parentComponentId": null }, { "bbox": { "h": 0.085, "w": 0.871, "x": 0.036, "y": 0.253 }, "kind": "title", "text": "Proprietary wet lab data combined with AI enables Absci to explore more of the right sequences", "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 12:27:54.924+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "847673f5-7550-40f1-a6d6-2dd7054e25a9", "parentComponentId": null }, { "bbox": { "h": 0.068, "w": 0.454, "x": 0.036, "y": 0.001118 }, "kind": "title", "text": "Absci unlocks AI for biologics", "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 12:27:54.924+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "924c7191-3c1d-4519-bf3d-6c0f57841905", "parentComponentId": null }, { "bbox": { "h": 0.025, "w": 0.112, "x": 0.036, "y": 0.068 }, "kind": "title", "text": "The Solution", "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 12:27:54.924+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4f167dcc-95c1-4c5d-a698-a16dbe081e81", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Venn diagram", "slug": "venn-diagram", "status": "active", "bestFor": null, "canonId": "019de52d-1f53-7290-96c8-79388c95fc17", "version": 1, "bodyDocId": null, "description": null, "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "c2f5fc6f-8d12-4424-8205-726a25b819cb", "evidence": "Overlapping circles representing expanded search space", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:36:04.187652+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "89c79611-5d3c-4dd9-b18b-e1223a69073a", "evidence": "Overlapping circles used to illustrate the intersection and expansion of data sets", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 12:27:54.924+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 8, "frameworkName": "venn" } ], "arcBeats": [ { "to": 12, "arc": { "name": "The Sparkline", "slug": "sparkline", "status": "active", "bestFor": "Keynotes, TED-style talks", "canonId": "019dd956-606e-720c-905a-42607ac0bf50", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "What Is -> What Could Be -> What Is -> What Could Be -> New Bliss", "description": null, "familyLabel": null }, "from": 8, "name": "Solution", "beatId": "d377abd0-99f9-4a56-9765-07d21b9f9147", "matchId": "15c9bcfb-db43-404f-a0d7-fbbccfd0a7f5", "beatType": null, "evidence": "Slides 8-12 present Absci's solution, including its proprietary wet lab data and AI-enabled platform", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 9, "type": "resolution", "title": "Uses a visual metaphor of scale (large vs small geometric clusters) to illustrate throughput.", "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": 34, "componentCount": 3, "textChars": 361, "nDataPoints": 2, "notes": "Uses a visual metaphor of scale (large vs small geometric clusters) to illustrate throughput.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 12:27:54.725+00", "seconds": 2.44, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de073-9cbe-768d-a7d1-8fc0965b655d/9", "deck": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d", "deckAnchor": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d#slide-9", "deckJson": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.365, "x": 0.589, "y": 0.278 }, "kind": "callout", "text": "Our synthetic biology platform is capable of screening millions of cells — expressing diverse sequence variants of a desired biologic — per week via the proprietary ACE Assay technology to generate data for AI model training.", "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 12:27:54.725+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e2a6c48a-5838-4a07-b8a8-9b2061c229c4", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.5, "x": 0.03, "y": 0.23 }, "kind": "image", "text": "Visual comparison of scale between ACE Assay (millions) and Traditional Screening (thousands)", "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 12:27:54.725+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c20e348e-35e7-46ae-ae4a-eff3b630d406", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.67, "x": 0.035, "y": 0.11 }, "kind": "title", "text": "Absci's ACE assay scales biologic screening", "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 12:27:54.725+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "235f44f3-2178-4537-9822-ffcea5e9b495", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Chartjunk Elimination", "slug": "chartjunk-elimination", "status": "active", "bestFor": null, "canonId": "019dd956-b49e-7453-ab01-b60f338eeda1", "version": 1, "bodyDocId": null, "description": "Remove decorative elements that don't convey data: 3D effects, shadows, unnecessary gridlines", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "facb65b8-93d7-4dd4-8d03-a7687c755737", "evidence": "Visual comparison of scale between ACE Assay (millions) and Traditional Screening (thousands)", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:36:04.261307+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "1a6da581-4709-4bd3-bfbe-6ad64e5412c2", "evidence": "Visual comparison of geometric clusters to represent scale of screening throughput", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 12:27:54.725+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 9, "frameworkName": "metaphor-analogy" } ], "arcBeats": [ { "to": 12, "arc": { "name": "The Sparkline", "slug": "sparkline", "status": "active", "bestFor": "Keynotes, TED-style talks", "canonId": "019dd956-606e-720c-905a-42607ac0bf50", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "What Is -> What Could Be -> What Is -> What Could Be -> New Bliss", "description": null, "familyLabel": null }, "from": 8, "name": "Solution", "beatId": "d377abd0-99f9-4a56-9765-07d21b9f9147", "matchId": "15c9bcfb-db43-404f-a0d7-fbbccfd0a7f5", "beatType": null, "evidence": "Slides 8-12 present Absci's solution, including its proprietary wet lab data and AI-enabled platform", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 10, "type": "resolution", "title": "The slide uses a flywheel diagram to illustrate the iterative nature of their platform.", "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": 63, "componentCount": 6, "textChars": 613, "nDataPoints": 0, "notes": "The slide uses a flywheel diagram to illustrate the iterative nature of their platform.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 12:27:56.197+00", "seconds": 3.894, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de073-9cbe-768d-a7d1-8fc0965b655d/10", "deck": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d", "deckAnchor": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d#slide-10", "deckJson": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d.json" }, "components": [ { "bbox": { "h": 0.45, "w": 0.45, "x": 0.52, "y": 0.25 }, "kind": "diagram", "text": "Flywheel diagram showing Synbio platform, Proprietary data, Denovium™ AI engine, and Target discovery technology", "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 12:27:56.197+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6ef470cd-88b3-4eab-91f6-bc6fefdd66f6", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.45, "x": 0.52, "y": 0.25 }, "kind": "framework", "text": "Flywheel", "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 12:27:56.197+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "70506d8e-5853-44c7-a2c3-602175d69924", "parentComponentId": null }, { "bbox": { "h": 0.325, "w": 0.435, "x": 0.036, "y": 0.515 }, "kind": "list", "text": "Deep collaboration between AI and wet lab scientists leads to the synergistic development of an integrated platform. Iterative cycle: wet lab and patient sample data feed our AI models to continuously train and improve predictions. Absci's integrated AI and synbio platform discovers and develops biologics in our SoluPro™ strain, that can be adapted for nsAA incorporation", "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 12:27:56.197+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "73f02ef8-b693-48dd-9e24-9d90904e2451", "parentComponentId": null }, { "bbox": { "h": 0.115, "w": 0.928, "x": 0.036, "y": 0.115 }, "kind": "title", "text": "Absci is merging AI & synthetic biology to accelerate biologic drug creation", "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 12:27:56.197+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "34575b01-46ea-40c2-a32e-248301717906", "parentComponentId": null }, { "bbox": { "h": 0.031, "w": 0.297, "x": 0.036, "y": 0.465 }, "kind": "title", "text": "Integrated Drug Creation™ platform", "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 12:27:56.197+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ac9c790e-aaff-479e-b3e1-e52a5e41d722", "parentComponentId": null }, { "bbox": { "h": 0.031, "w": 0.085, "x": 0.036, "y": 0.068 }, "kind": "title", "text": "Why Absci?", "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 12:27:56.197+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f6057581-b590-4f96-855b-7981a85318c9", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Flywheel", "slug": "flywheel", "status": "active", "bestFor": null, "canonId": "019de52d-1ad8-75ab-9027-a40365590152", "version": 1, "bodyDocId": null, "description": null, "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "e26463a5-e8ea-40ea-91ec-d683a0c7bfa0", "evidence": "Flywheel diagram showing Synbio platform, Proprietary data, Denovium™ AI engine, and Target discovery technology", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-17 03:36:04.33041+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 10, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "bb34ec81-d12a-48d7-b542-9f4b5fa083c0", "evidence": "The diagram depicts a circular, iterative process where components feed into each other to create momentum.", "framework": null, "confidence": 0.95, "extraction": { "at": "2026-05-02 12:27:56.197+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 10, "frameworkName": "flywheel" } ], "arcBeats": [ { "to": 12, "arc": { "name": "The Sparkline", "slug": "sparkline", "status": "active", "bestFor": "Keynotes, TED-style talks", "canonId": "019dd956-606e-720c-905a-42607ac0bf50", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "What Is -> What Could Be -> What Is -> What Could Be -> New Bliss", "description": null, "familyLabel": null }, "from": 8, "name": "Solution", "beatId": "d377abd0-99f9-4a56-9765-07d21b9f9147", "matchId": "15c9bcfb-db43-404f-a0d7-fbbccfd0a7f5", "beatType": null, "evidence": "Slides 8-12 present Absci's solution, including its proprietary wet lab data and AI-enabled platform", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 11, "type": "setup", "title": "The slide uses a process flow diagram to represent the transformation of patient disease data into a drug product via AI.", "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": "balanced", "densityScore": 34, "componentCount": 4, "textChars": 303, "nDataPoints": 0, "notes": "The slide uses a process flow diagram to represent the transformation of patient disease data into a drug product via AI.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 12:27:54.725+00", "seconds": 2.371, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de073-9cbe-768d-a7d1-8fc0965b655d/11", "deck": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d", "deckAnchor": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d#slide-11", "deckJson": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d.json" }, "components": [ { "bbox": { "h": 0.6, "w": 0.68, "x": 0.16, "y": 0.25 }, "kind": "diagram", "text": "Flow from Disease to Drug via AI", "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 12:27:54.725+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3b16ec4d-58ff-4e4b-bb85-d55297c83bab", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.4, "x": 0.35, "y": 0.73 }, "kind": "list", "text": "IN SILICO DRUG CREATION: Discovery of novel targets, Novel drug to predicted target epitope, Desired scaffold, Designed attributes, High titer production cell line", "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 12:27:54.725+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a7d584ad-b54e-4931-aef6-e6437c9a5e44", "parentComponentId": null }, { "bbox": { "h": 0.078, "w": 0.928, "x": 0.036, "y": 0.112 }, "kind": "title", "text": "As Absci's predictability improves with each cycle, we envision a future of fully in silico design", "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 12:27:54.725+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5177c0be-67be-45d3-be1f-67cdf08dcfd3", "parentComponentId": null }, { "bbox": { "h": 0.028, "w": 0.099, "x": 0.036, "y": 0.068 }, "kind": "title", "text": "The Vision", "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 12:27:54.725+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "09d76af7-bb7c-4bd0-9044-a400b51fe4e4", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Process flow", "slug": "process-flow", "status": "active", "bestFor": null, "canonId": "019dd9e1-4dca-76bc-8135-401836a1c4c0", "version": 1, "bodyDocId": null, "description": "Workflow, steps, sequential diagram.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "42a0e113-25d6-4f6a-bebb-3a137953c15d", "evidence": "Flow from Disease to Drug via AI", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:36:04.396463+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 11, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 12, "arc": { "name": "The Sparkline", "slug": "sparkline", "status": "active", "bestFor": "Keynotes, TED-style talks", "canonId": "019dd956-606e-720c-905a-42607ac0bf50", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "What Is -> What Could Be -> What Is -> What Could Be -> New Bliss", "description": null, "familyLabel": null }, "from": 8, "name": "Solution", "beatId": "d377abd0-99f9-4a56-9765-07d21b9f9147", "matchId": "15c9bcfb-db43-404f-a0d7-fbbccfd0a7f5", "beatType": null, "evidence": "Slides 8-12 present Absci's solution, including its proprietary wet lab data and AI-enabled platform", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 }, { "to": 11, "arc": { "name": "The Sparkline", "slug": "sparkline", "status": "active", "bestFor": "Keynotes, TED-style talks", "canonId": "019dd956-606e-720c-905a-42607ac0bf50", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "What Is -> What Could Be -> What Is -> What Could Be -> New Bliss", "description": null, "familyLabel": null }, "from": 11, "name": "Vision", "beatId": "ce1679bc-9221-42bb-9607-49def2b3b504", "matchId": "15c9bcfb-db43-404f-a0d7-fbbccfd0a7f5", "beatType": null, "evidence": "Slide 11 presents Absci's vision", "position": 3, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 12, "type": "resolution", "title": "The slide uses a process flow diagram to illustrate the drug discovery pipeline.", "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": 37, "componentCount": 4, "textChars": 359, "nDataPoints": 0, "notes": "The slide uses a process flow diagram to illustrate the drug discovery pipeline.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 12:27:56.011+00", "seconds": 3.296, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de073-9cbe-768d-a7d1-8fc0965b655d/12", "deck": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d", "deckAnchor": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d#slide-12", "deckJson": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d.json" }, "components": [ { "bbox": { "h": 0.15, "w": 0.48, "x": 0.03, "y": 0.75 }, "kind": "callout", "text": "Our end-to-end platform uniquely positions us to support the needs of our partners in multiple ways to overcome increasing drug complexity and develop the best drugs for patients", "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 12:27:56.011+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4beb86e2-1267-439c-9ce1-b5fff5369027", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.94, "x": 0.03, "y": 0.25 }, "kind": "diagram", "text": "Four-stage drug discovery process flow", "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 12:27:56.011+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8a3957bd-fe1b-4d04-881a-c345e1da5557", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.94, "x": 0.03, "y": 0.11 }, "kind": "title", "text": "Absci has built an industry-leading data-centric platform for scalable, AI-enabled protein biologic discovery", "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 12:27:56.011+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "12699bf2-a35b-4de0-a9f5-9c66d3805543", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.26, "x": 0.03, "y": 0.06 }, "kind": "title", "text": "Integrated Drug Creation™ Platform", "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 12:27:56.011+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "223c0372-2ed1-4f49-bdfd-20f047a2e782", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Process flow", "slug": "process-flow", "status": "active", "bestFor": null, "canonId": "019dd9e1-4dca-76bc-8135-401836a1c4c0", "version": 1, "bodyDocId": null, "description": "Workflow, steps, sequential diagram.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "fda13731-6802-4a34-b381-2125dd0d58b9", "evidence": "Four-stage drug discovery process flow", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:36:04.462261+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 12, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [ { "matchId": "cd73adb5-2379-4981-acc7-e20d10178b71", "evidence": "The slide depicts a sequential workflow from patient cohort to manufacturing.", "framework": null, "confidence": 0.9, "extraction": { "at": "2026-05-02 12:27:56.011+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 12, "frameworkName": "process" } ], "arcBeats": [ { "to": 12, "arc": { "name": "The Sparkline", "slug": "sparkline", "status": "active", "bestFor": "Keynotes, TED-style talks", "canonId": "019dd956-606e-720c-905a-42607ac0bf50", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "What Is -> What Could Be -> What Is -> What Could Be -> New Bliss", "description": null, "familyLabel": null }, "from": 8, "name": "Solution", "beatId": "d377abd0-99f9-4a56-9765-07d21b9f9147", "matchId": "15c9bcfb-db43-404f-a0d7-fbbccfd0a7f5", "beatType": null, "evidence": "Slides 8-12 present Absci's solution, including its proprietary wet lab data and AI-enabled platform", "position": 2, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 13, "type": "resolution", "title": "Uses a process-flow diagram to explain the platform's capabilities.", "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": 245, "nDataPoints": 0, "notes": "Uses a process-flow diagram to explain the platform's capabilities.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 12:27:56.114+00", "seconds": 3.171, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de073-9cbe-768d-a7d1-8fc0965b655d/13", "deck": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d", "deckAnchor": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d#slide-13", "deckJson": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d.json" }, "components": [ { "bbox": { "h": 0.65, "w": 0.45, "x": 0.03, "y": 0.21 }, "kind": "diagram", "text": "De novo discovery in silico: target -> lead", "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 12:27:56.114+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4b7faaae-00f5-4502-b407-9c70808a8c35", "parentComponentId": null }, { "bbox": { "h": 0.65, "w": 0.45, "x": 0.52, "y": 0.21 }, "kind": "diagram", "text": "Lead optimization in silico: lead -> multiparametric optimization -> drug candidate", "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 12:27:56.114+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bf67bd57-64a8-4a86-81a3-fccac7feed3b", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.9, "x": 0.05, "y": 0.45 }, "kind": "image", "text": "Visual representation of protein structures and AI transformation", "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 12:27:56.114+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a537f898-5cbe-4e79-aee9-15b525984ece", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.55, "x": 0.035, "y": 0.115 }, "kind": "title", "text": "Absci's AI models for in silico biologic drug creation", "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 12:27:56.114+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "904a6d45-996c-4b4b-b5f5-eb8a8da145a4", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Process flow", "slug": "process-flow", "status": "active", "bestFor": null, "canonId": "019dd9e1-4dca-76bc-8135-401836a1c4c0", "version": 1, "bodyDocId": null, "description": "Workflow, steps, sequential diagram.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "cdd46134-a375-40de-bd17-90049de15c1b", "evidence": "Lead optimization in silico: lead -> multiparametric optimization -> drug candidate", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:36:04.527036+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 13, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Process flow", "slug": "process-flow", "status": "active", "bestFor": null, "canonId": "019dd9e1-4dca-76bc-8135-401836a1c4c0", "version": 1, "bodyDocId": null, "description": "Workflow, steps, sequential diagram.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "b8963813-49ad-4bff-828d-d6f45a049ec2", "evidence": "De novo discovery in silico: target -> lead", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:36:04.560087+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 13, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [ { "matchId": "effd2d60-290c-46ff-80a9-6c20a306fc0f", "evidence": "The slide uses a step-by-step flow to explain the drug creation platform.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 12:27:56.114+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 13, "frameworkName": "process" } ], "arcBeats": [], "loops": [], "locked": true }, { "page": 14, "type": "resolution", "title": "The slide uses a dual-box layout to contrast two distinct platform capabilities.", "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": 28, "componentCount": 4, "textChars": 214, "nDataPoints": 0, "notes": "The slide uses a dual-box layout to contrast two distinct platform capabilities.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 12:27:55.238+00", "seconds": 2.245, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de073-9cbe-768d-a7d1-8fc0965b655d/14", "deck": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d", "deckAnchor": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d#slide-14", "deckJson": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d.json" }, "components": [ { "bbox": { "h": 0.65, "w": 0.44, "x": 0.03, "y": 0.21 }, "kind": "diagram", "text": "De novo discovery in silico: target -> lead", "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 12:27:55.238+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "054149a3-e06a-472b-a133-8b45050638fb", "parentComponentId": null }, { "bbox": { "h": 0.65, "w": 0.44, "x": 0.52, "y": 0.21 }, "kind": "diagram", "text": "Lead optimization in silico: lead -> multiparametric optimization -> drug candidate", "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 12:27:55.238+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "89549107-a68a-4879-a988-5c4aabc8e5ce", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.78, "x": 0.035, "y": 0.11 }, "kind": "title", "text": "Absci's AI models for in silico biologic drug creation", "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 12:27:55.238+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ce454ead-2da3-46a3-b1c7-64492b4023ef", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.26, "x": 0.035, "y": 0.06 }, "kind": "title", "text": "Integrated Drug Creation™ Platform", "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 12:27:55.238+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4646d431-a069-4fac-ba8a-d5f13a490935", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Process flow", "slug": "process-flow", "status": "active", "bestFor": null, "canonId": "019dd9e1-4dca-76bc-8135-401836a1c4c0", "version": 1, "bodyDocId": null, "description": "Workflow, steps, sequential diagram.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "4ee1abf6-8015-4e18-ac7c-0cabcf0b2fdd", "evidence": "Lead optimization in silico: lead -> multiparametric optimization -> drug candidate", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:36:04.626457+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": "Process flow", "slug": "process-flow", "status": "active", "bestFor": null, "canonId": "019dd9e1-4dca-76bc-8135-401836a1c4c0", "version": 1, "bodyDocId": null, "description": "Workflow, steps, sequential diagram.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "10c4e96a-2451-4263-b500-e2760b67cc3e", "evidence": "De novo discovery in silico: target -> lead", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:36:04.659964+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 uses a process flow diagram to illustrate the transition from parental mAb to optimized mAb via AI models.", "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": 35, "componentCount": 4, "textChars": 332, "nDataPoints": 0, "notes": "The slide uses a process flow diagram to illustrate the transition from parental mAb to optimized mAb via AI models.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 12:27:58.04+00", "seconds": 4.821, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de073-9cbe-768d-a7d1-8fc0965b655d/15", "deck": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d", "deckAnchor": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d#slide-15", "deckJson": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d.json" }, "components": [ { "bbox": { "h": 0.3, "w": 0.52, "x": 0.45, "y": 0.25 }, "kind": "diagram", "text": "Overview of workflow: Lab assays to AI models", "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 12:27:58.04+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "59f1ece3-d418-4197-94e5-6196a6f7585a", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.4, "x": 0.03, "y": 0.25 }, "kind": "diagram", "text": "Goal: Parental mAb to mAb with desired affinity", "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 12:27:58.04+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bd92b1bf-5cd0-4856-aad0-f7058edd2e00", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.9, "x": 0.05, "y": 0.65 }, "kind": "paragraph", "text": "Absci has developed assays and AI models providing quantitative binding predictions, thereby enabling genuine in silico affinity maturation", "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 12:27:58.04+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ff832737-dcc7-4d0a-b90b-41910141c7ca", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.94, "x": 0.03, "y": 0.11 }, "kind": "title", "text": "Absci has developed models with quantitative binding predictions for tuning antibody binding affinity", "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 12:27:58.04+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0e249a12-6930-489e-8f14-95eeea7866ab", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Process flow", "slug": "process-flow", "status": "active", "bestFor": null, "canonId": "019dd9e1-4dca-76bc-8135-401836a1c4c0", "version": 1, "bodyDocId": null, "description": "Workflow, steps, sequential diagram.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "f29252be-da79-449c-8016-ad7c3575fd17", "evidence": "Goal: Parental mAb to mAb with desired affinity", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:36:04.730542+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 15, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null }, { "tool": { "name": "Process flow", "slug": "process-flow", "status": "active", "bestFor": null, "canonId": "019dd9e1-4dca-76bc-8135-401836a1c4c0", "version": 1, "bodyDocId": null, "description": "Workflow, steps, sequential diagram.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "fa61f3d7-38f3-4e32-bfe5-40627b0dbb27", "evidence": "Overview of workflow: Lab assays to AI models", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:36:04.764064+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 15, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 16, "type": "evidence", "title": "The slide uses a combination of a process diagram (left) and statistical charts (right) to validate the 'naturalness' metric.", "function": "analyze_data", "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": "analyze_data", "functionCanon": { "name": "Analyze data", "slug": "analyze_data", "status": "active", "canonId": "019de52d-1590-7413-8c82-cc218cff40b4", "version": 1, "description": null }, "density": "overcrowded", "densityScore": 86, "componentCount": 8, "textChars": 907, "nDataPoints": 8, "notes": "The slide uses a combination of a process diagram (left) and statistical charts (right) to validate the 'naturalness' metric.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 12:27:56.991+00", "seconds": 3.671, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de073-9cbe-768d-a7d1-8fc0965b655d/16", "deck": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d", "deckAnchor": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d#slide-16", "deckJson": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d.json" }, "components": [ { "bbox": { "h": 0.22, "w": 0.31, "x": 0.67, "y": 0.73 }, "kind": "callout", "text": "Antibodies with higher naturalness scores have fewer developability failures** than antibodies with lower scores", "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 12:27:56.991+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6440aa32-f1fe-43b4-9448-7f992e0f6914", "parentComponentId": null }, { "bbox": { "h": 0.22, "w": 0.31, "x": 0.35, "y": 0.73 }, "kind": "callout", "text": "Antibodies with higher average naturalness scores tend to have lower median immunogenicity values*", "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 12:27:56.991+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "73079e66-34f2-4bbd-a395-024813034713", "parentComponentId": null }, { "bbox": { "h": 0.22, "w": 0.31, "x": 0.03, "y": 0.73 }, "kind": "callout", "text": "Naturalness is a score computed by pretrained language models that measures how likely it is for a given antibody sequence to be derived from an organism of interest, in our case human", "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 12:27:56.991+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c2d11d4a-e43a-43d8-8aa4-6c7bf114c2ac", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.23, "x": 0.74, "y": 0.26 }, "kind": "chart", "text": "Developability failures vs Naturalness", "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 12:27:56.991+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "92c91698-9a05-4e57-b5f3-a2d7d00444dc", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.23, "x": 0.49, "y": 0.26 }, "kind": "chart", "text": "Immunogenicity vs Naturalness", "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": "Box plot", "slug": "box", "status": "active", "canonId": "019de52d-020e-73d9-b4cf-5793a03e9b74", "version": 1, "description": null }, "framework": null }, "subkind": "box", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 12:27:56.991+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5c5b80db-04f6-48bc-bd78-ed033d445747", "parentComponentId": null }, { "bbox": { "h": 0.45, "w": 0.44, "x": 0.03, "y": 0.26 }, "kind": "diagram", "text": "Training set (natural antibody sequences) to Predictions", "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 12:27:56.991+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ba7e46d7-ac32-46cd-8d13-eb75c99f2959", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.55, "x": 0.03, "y": 0.91 }, "kind": "disclaimer", "text": "*Therapeutic antibodies and ADA responses from Marks et al, Bioinformatics 37:4041 (2021) **Developability failures as predicted by the Therapeutic Antibody Profiler (TAP) for round 3-enriched phage display hits from the Gifford library, Liu et al, Bioinformatics 36:2126 (2020)", "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 12:27:56.991+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "19957931-f1c6-421a-aa1d-b81b4a6df6c0", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.94, "x": 0.03, "y": 0.08 }, "kind": "title", "text": "Average naturalness score correlates with lower antibody immunogenicity (ADA%) issues and developability success", "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 12:27:56.991+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ea77da2a-5735-4337-94d0-f8fca2cdc2bd", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 18, "arc": { "name": "The Sparkline", "slug": "sparkline", "status": "active", "bestFor": "Keynotes, TED-style talks", "canonId": "019dd956-606e-720c-905a-42607ac0bf50", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "What Is -> What Could Be -> What Is -> What Could Be -> New Bliss", "description": null, "familyLabel": null }, "from": 16, "name": "Traction", "beatId": "56a1591b-9971-43d8-a12f-830b2585b445", "matchId": "15c9bcfb-db43-404f-a0d7-fbbccfd0a7f5", "beatType": null, "evidence": "Slides 16-18 showcase Absci's achievements and traction", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 18, "from": 16, "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": "1d17ee96-095b-4a44-ad83-05b8abcc32f6", "evidence": "Slides 16-18 highlight Absci's achievements and traction", "position": 2, "objective": "Showcase Absci's achievements and traction", "confidence": 0.6, "extraction": { "at": "2026-07-16 22:26:45.534163+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 17, "type": "evidence", "title": "The slide uses scatter plots with marginal density distributions to validate AI model performance.", "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": "overcrowded", "densityScore": 75, "componentCount": 7, "textChars": 546, "nDataPoints": 6, "notes": "The slide uses scatter plots with marginal density distributions to validate AI model performance.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 12:27:57.637+00", "seconds": 4.274, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de073-9cbe-768d-a7d1-8fc0965b655d/17", "deck": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d", "deckAnchor": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d#slide-17", "deckJson": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d.json" }, "components": [ { "bbox": { "h": 0.2, "w": 0.3, "x": 0.67, "y": 0.73 }, "kind": "callout", "text": "Models simultaneously evaluate antibody sequences for naturalness and apply a genetic algorithm tuning for affinity & maximizing naturalness", "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 12:27:57.637+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a1c9f510-984c-487c-bb5a-46e8dcc485e2", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.3, "x": 0.03, "y": 0.73 }, "kind": "callout", "text": "Strong agreement between Absci's high-throughput ACE Assay scores and SPR-derived -log10KD (Pearson R = 0.84)", "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 12:27:57.637+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "cef3f70a-7fa1-4024-b1f6-ced572c8da2f", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.3, "x": 0.35, "y": 0.73 }, "kind": "callout", "text": "Predictive performance with a Pearson R correlation of 0.97 - trained on 90% of variants - evaluated remaining 10% of sequences", "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 12:27:57.637+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "eeb5c65b-470d-4f6d-9e3b-e8f66d98c3e9", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.28, "x": 0.35, "y": 0.2 }, "kind": "chart", "text": "AI-predicted ACE score vs Measured ACE score", "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": "Scatter plot", "slug": "scatter", "status": "active", "canonId": "019de52d-007d-72ec-8689-c79fb78e21a2", "version": 1, "description": null }, "framework": null }, "subkind": "scatter", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 12:27:57.637+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2595dc3b-1a5e-40c7-b5b4-ba47d58108f2", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.28, "x": 0.67, "y": 0.2 }, "kind": "chart", "text": "Naturalness vs AI-predicted ACE score", "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": "Scatter plot", "slug": "scatter", "status": "active", "canonId": "019de52d-007d-72ec-8689-c79fb78e21a2", "version": 1, "description": null }, "framework": null }, "subkind": "scatter", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 12:27:57.637+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "3fbf6952-6463-46e5-8d01-0a8505b17f93", "parentComponentId": null }, { "bbox": { "h": 0.5, "w": 0.28, "x": 0.03, "y": 0.2 }, "kind": "chart", "text": "ACE score vs SPR -log10KD", "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": "Scatter plot", "slug": "scatter", "status": "active", "canonId": "019de52d-007d-72ec-8689-c79fb78e21a2", "version": 1, "description": null }, "framework": null }, "subkind": "scatter", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 12:27:57.637+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c671784e-865d-4a45-af2e-5e2e2e8d3036", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.94, "x": 0.03, "y": 0.11 }, "kind": "title", "text": "Exciting AI proof points: From sequence to desired drug property", "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 12:27:57.637+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2780ece9-5003-4c05-b69d-8a48bd01aa16", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 18, "arc": { "name": "The Sparkline", "slug": "sparkline", "status": "active", "bestFor": "Keynotes, TED-style talks", "canonId": "019dd956-606e-720c-905a-42607ac0bf50", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "What Is -> What Could Be -> What Is -> What Could Be -> New Bliss", "description": null, "familyLabel": null }, "from": 16, "name": "Traction", "beatId": "56a1591b-9971-43d8-a12f-830b2585b445", "matchId": "15c9bcfb-db43-404f-a0d7-fbbccfd0a7f5", "beatType": null, "evidence": "Slides 16-18 showcase Absci's achievements and traction", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 18, "from": 16, "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": "1d17ee96-095b-4a44-ad83-05b8abcc32f6", "evidence": "Slides 16-18 highlight Absci's achievements and traction", "position": 2, "objective": "Showcase Absci's achievements and traction", "confidence": 0.6, "extraction": { "at": "2026-07-16 22:26:45.534163+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 18, "type": "evidence", "title": "The slide highlights scientific validation of their AI platform for antibody optimization.", "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": 62, "componentCount": 5, "textChars": 711, "nDataPoints": 1, "notes": "The slide highlights scientific validation of their AI platform for antibody optimization.", "elementsJson": null, "confidence": 0.95, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 12:27:55.971+00", "seconds": 2.439, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de073-9cbe-768d-a7d1-8fc0965b655d/18", "deck": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d", "deckAnchor": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d#slide-18", "deckJson": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d.json" }, "components": [ { "bbox": { "h": 0.25, "w": 0.38, "x": 0.31, "y": 0.6 }, "kind": "diagram", "text": "Lead optimization in silico: lead -> multiparametric optimization -> drug candidate", "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 12:27:55.971+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d4966c3c-586e-4a7b-9a77-d9511c4814d4", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.45, "x": 0.03, "y": 0.2 }, "kind": "list", "text": "AI predicted the affinity of unseen variants from libraries generated using diverse mutational strategies and combinatorial sequence space. Our AI models make predictions with actionable performance using <0.1% of the combinatorial sequence space as training set.", "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 12:27:55.971+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "c2fd23ae-aa80-44eb-a435-7bfa65ca5361", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.45, "x": 0.5, "y": 0.2 }, "kind": "list", "text": "Naturalness is associated with developability metrics and expression titer while it is inversely associated with immunogenicity metrics and mutational load. Demonstrated that it is conceivable to use naturalness as a risk mitigation strategy and prioritization metric for variant candidates.", "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 12:27:55.971+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fc91f24c-e94a-4b25-ab55-90e82d7c7933", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.25, "x": 0.03, "y": 0.57 }, "kind": "source-note", "text": "Detailed in manuscript preprint posted to www.biorxiv.org", "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 12:27:55.971+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "8f21a3a4-ae68-49b3-a2c6-8b034430170e", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.32, "x": 0.03, "y": 0.11 }, "kind": "title", "text": "Key achievements*", "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 12:27:55.971+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "5a56730a-0459-4650-8675-cb8e118c2d86", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Process flow", "slug": "process-flow", "status": "active", "bestFor": null, "canonId": "019dd9e1-4dca-76bc-8135-401836a1c4c0", "version": 1, "bodyDocId": null, "description": "Workflow, steps, sequential diagram.", "familyLabel": null, "categoryName": null, "categorySlug": null }, "agent": null, "layer": "slide", "agents": null, "matchId": "d46d69bb-2c3d-4370-baa0-48f74db3ff45", "evidence": "Lead optimization in silico: lead -> multiparametric optimization -> drug candidate", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 03:36:04.897954+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 18, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 18, "arc": { "name": "The Sparkline", "slug": "sparkline", "status": "active", "bestFor": "Keynotes, TED-style talks", "canonId": "019dd956-606e-720c-905a-42607ac0bf50", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "What Is -> What Could Be -> What Is -> What Could Be -> New Bliss", "description": null, "familyLabel": null }, "from": 16, "name": "Traction", "beatId": "56a1591b-9971-43d8-a12f-830b2585b445", "matchId": "15c9bcfb-db43-404f-a0d7-fbbccfd0a7f5", "beatType": null, "evidence": "Slides 16-18 showcase Absci's achievements and traction", "position": 4, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [ { "to": 18, "from": 16, "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": "1d17ee96-095b-4a44-ad83-05b8abcc32f6", "evidence": "Slides 16-18 highlight Absci's achievements and traction", "position": 2, "objective": "Showcase Absci's achievements and traction", "confidence": 0.6, "extraction": { "at": "2026-07-16 22:26:45.534163+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": "doc-narrative-v1" } } ], "locked": true }, { "page": 19, "type": "resolution", "title": "The slide uses a 2x2 grid of chevron-shaped containers to present distinct technical advantages.", "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": 57, "componentCount": 6, "textChars": 318, "nDataPoints": 4, "notes": "The slide uses a 2x2 grid of chevron-shaped containers to present distinct technical advantages.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 12:27:56.128+00", "seconds": 2.566, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de073-9cbe-768d-a7d1-8fc0965b655d/19", "deck": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d", "deckAnchor": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d#slide-19", "deckJson": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d.json" }, "components": [ { "bbox": { "h": 0.25, "w": 0.44, "x": 0.03, "y": 0.65 }, "kind": "chart", "text": "Ensuring manufacturability with SoluPro strain while improving strain productivities", "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 12:27:56.128+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "54ffcf7c-aa89-4c79-b524-a147affff5d3", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.44, "x": 0.52, "y": 0.25 }, "kind": "chart", "text": "AI binding predictions to multiple targets", "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": "Scatter plot", "slug": "scatter", "status": "active", "canonId": "019de52d-007d-72ec-8689-c79fb78e21a2", "version": 1, "description": null }, "framework": null }, "subkind": "scatter", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 12:27:56.128+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "709fede6-aa3b-4963-8ce6-7e67b95b8a8a", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.44, "x": 0.52, "y": 0.65 }, "kind": "chart", "text": "Reduce binding at neutral pH while preserving binding at acidic pH", "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": "Scatter plot", "slug": "scatter", "status": "active", "canonId": "019de52d-007d-72ec-8689-c79fb78e21a2", "version": 1, "description": null }, "framework": null }, "subkind": "scatter", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 12:27:56.128+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "81399cd5-08d3-41a3-8a01-44003fbb58e2", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.35, "x": 0.08, "y": 0.33 }, "kind": "image", "text": "Hu-Ag and Cy-Ag protein structures", "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 12:27:56.128+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1cde9f4c-dec6-4331-825e-9afbb30f1c2a", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.18, "x": 0.03, "y": 0.07 }, "kind": "paragraph", "text": "In Silico Drug Creation", "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 12:27:56.128+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bb958f9c-2f92-446b-abaa-3e1efa40de14", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.94, "x": 0.03, "y": 0.11 }, "kind": "title", "text": "Absci's AI-driven approach enables new applications and new biologies", "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 12:27:56.128+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "055c916b-0628-4803-8748-91f26c12f803", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 20, "type": "setup", "title": "The slide features the company logo and a stylized 'a' graphic.", "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": 20, "componentCount": 4, "textChars": 86, "nDataPoints": 0, "notes": "The slide features the company logo and a stylized 'a' graphic.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 12:27:55.753+00", "seconds": 2.161, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de073-9cbe-768d-a7d1-8fc0965b655d/20", "deck": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d", "deckAnchor": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d#slide-20", "deckJson": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d.json" }, "components": [ { "bbox": { "h": 0.02, "w": 0.2, "x": 0.75, "y": 0.95 }, "kind": "disclaimer", "text": "Corporate Presentation, October 2022", "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 12:27:55.753+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6fd19324-94fe-4898-80f9-663d3b0e3a03", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.15, "x": 0.035, "y": 0.07 }, "kind": "image", "text": "absci", "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 12:27:55.753+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "4b91b311-f3b8-4dbc-98c6-0636275b4ebe", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.3, "x": 0.035, "y": 0.56 }, "kind": "paragraph", "text": "Toward In Silico Drug Creation™", "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 12:27:55.753+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0094c5fa-29af-4c74-9c2e-611de80f9cb1", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.3, "x": 0.035, "y": 0.35 }, "kind": "title", "text": "Business Model", "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 12:27:55.753+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9f090fca-8831-4698-8fc3-32c471678d9b", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 21, "arc": { "name": "The Sparkline", "slug": "sparkline", "status": "active", "bestFor": "Keynotes, TED-style talks", "canonId": "019dd956-606e-720c-905a-42607ac0bf50", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "What Is -> What Could Be -> What Is -> What Could Be -> New Bliss", "description": null, "familyLabel": null }, "from": 20, "name": "Business Model", "beatId": "5ae5ca70-53a6-4285-af3d-a2035beaafe0", "matchId": "15c9bcfb-db43-404f-a0d7-fbbccfd0a7f5", "beatType": null, "evidence": "Slides 20-21 present Absci's business model", "position": 5, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 21, "type": "setup", "title": "Uses a funnel-like area chart to represent value accumulation over time.", "function": "present_solution", "rawType": "business_model", "block": null, "metadata": { "slideType": "business_model", "slideTypeCanon": { "name": "Business model", "slug": "business_model", "status": "active", "canonId": "019de52d-0fa6-7104-86d0-e5781f8b8b45", "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": 51, "componentCount": 5, "textChars": 369, "nDataPoints": 2, "notes": "Uses a funnel-like area chart to represent value accumulation over time.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 12:27:56.917+00", "seconds": 3.189, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de073-9cbe-768d-a7d1-8fc0965b655d/21", "deck": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d", "deckAnchor": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d#slide-21", "deckJson": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d.json" }, "components": [ { "bbox": { "h": 0.4, "w": 0.93, "x": 0.035, "y": 0.35 }, "kind": "chart", "text": "Value accumulation over development stages", "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": "Area chart", "slug": "area", "status": "active", "canonId": "019de52c-ff89-71e0-911e-5cab78b90f53", "version": 1, "description": null }, "framework": null }, "subkind": "area", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 12:27:56.917+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "7a764244-2378-469c-96ee-41044e4ecc95", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.75, "x": 0.035, "y": 0.87 }, "kind": "disclaimer", "text": "Illustrative of Absci's general beliefs regarding the potential value of downstream clinical and commercial success of partnered programs; does not depict any underlying data", "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 12:27:56.917+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e54fc8d3-c23c-4178-891f-0d822a18e57e", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.93, "x": 0.035, "y": 0.78 }, "kind": "list", "text": "10 - 13+ years in development; 12 years biologic exclusivity", "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": "Timeline item", "slug": "timeline-item", "status": "active", "canonId": "019de52c-fd0e-74ce-9443-440fbd8c23b4", "version": 1, "description": null }, "framework": null }, "subkind": "timeline-item", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 12:27:56.917+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fe5f0aa1-b53e-4de5-b402-52570e9d4411", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.55, "x": 0.035, "y": 0.18 }, "kind": "title", "text": "Greater returns for drug & target discovery", "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 12:27:56.917+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "378436e2-e009-4fc9-9f4d-96d6c1391f44", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.65, "x": 0.035, "y": 0.125 }, "kind": "title", "text": "Program economics grow with successful development", "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 12:27:56.917+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ac7bd40e-8960-49e9-bbc3-6b3fbb9508a7", "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": "ad92cd4a-2db6-4eaa-a533-828c96cba422", "evidence": "chart/area: Value accumulation over development stages", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.7, "extraction": { "at": "2026-07-17 00:11:14.508293+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 21, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "43e342bc-9d75-44c1-8101-47a809282010", "evidence": "Depicts the progression of drug development stages and associated revenue capture.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 12:27:56.917+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 21, "frameworkName": "value-chain" } ], "arcBeats": [ { "to": 21, "arc": { "name": "The Sparkline", "slug": "sparkline", "status": "active", "bestFor": "Keynotes, TED-style talks", "canonId": "019dd956-606e-720c-905a-42607ac0bf50", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "What Is -> What Could Be -> What Is -> What Could Be -> New Bliss", "description": null, "familyLabel": null }, "from": 20, "name": "Business Model", "beatId": "5ae5ca70-53a6-4285-af3d-a2035beaafe0", "matchId": "15c9bcfb-db43-404f-a0d7-fbbccfd0a7f5", "beatType": null, "evidence": "Slides 20-21 present Absci's business model", "position": 5, "isPrimaryArc": true, "parentBeatType": null, "alignedBlockIds": null, "matchConfidence": 0.8 } ], "loops": [], "locked": true }, { "page": 22, "type": "evidence", "title": "Partnership Spotlight slide detailing specific deal terms with Merck and technical collaboration goals with NVIDIA.", "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": 539, "nDataPoints": 1, "notes": "Partnership Spotlight slide detailing specific deal terms with Merck and technical collaboration goals with NVIDIA.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 12:28:01.137+00", "seconds": 7.225, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de073-9cbe-768d-a7d1-8fc0965b655d/22", "deck": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d", "deckAnchor": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d#slide-22", "deckJson": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d.json" }, "components": [ { "bbox": { "h": 0.1, "w": 0.2, "x": 0.55, "y": 0.25 }, "kind": "image", "text": "NVIDIA", "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 12:28:01.137+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "29fa5832-fbbc-48ff-81e0-66a19692e323", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.2, "x": 0.05, "y": 0.25 }, "kind": "image", "text": "Merck", "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 12:28:01.137+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "df9054cf-c455-4188-ad7f-4ce7e1e1a12a", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.4, "x": 0.05, "y": 0.45 }, "kind": "list", "text": "Drug discovery: Option to nominate up to 3 targets; $610M potential upfront + milestones; Tiered royalties; Research funding. Bionic enzymes: Generation of nsAA-containing custom bioproduction enzymes; Upfront and milestones.", "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 12:28:01.137+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9b6c9a52-d7af-477d-bdeb-fba546aff195", "parentComponentId": null }, { "bbox": { "h": 0.3, "w": 0.4, "x": 0.55, "y": 0.45 }, "kind": "list", "text": "Absci and NVIDIA are collaborating to scale fully in silico Drug Creation platform. Early access to NVIDIA key technologies; Scale model training to NVIDIA SuperPOD; Dedicated expertise in optimizing Absci's AI compute.", "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 12:28:01.137+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e9f7fec1-f7e0-4ca8-a1cd-cf16ff99475d", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.9, "x": 0.05, "y": 0.11 }, "kind": "title", "text": "Absci collaborates with flagship partners to deliver better drugs to patients faster", "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 12:28:01.137+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2e8a883f-a5d2-4d71-9670-4cf27e2772ab", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 23, "type": "evidence", "title": "The slide highlights a specific business development win involving ADC (Antibody-Drug Conjugate) development.", "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": "balanced", "densityScore": 40, "componentCount": 4, "textChars": 327, "nDataPoints": 1, "notes": "The slide highlights a specific business development win involving ADC (Antibody-Drug Conjugate) development.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 12:27:57.243+00", "seconds": 3.199, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de073-9cbe-768d-a7d1-8fc0965b655d/23", "deck": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d", "deckAnchor": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d#slide-23", "deckJson": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d.json" }, "components": [ { "bbox": { "h": 0.25, "w": 0.635, "x": 0.165, "y": 0.54 }, "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": "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 12:27:57.243+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "18eff3cc-6aa4-47fc-bda1-876f48233c87", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.66, "x": 0.036, "y": 0.245 }, "kind": "list", "text": "Partner focused on discovery and development of ADCs for oncology indications\nLeveraging Absci's Bionic™ protein nsAA incorporation technology\nGenerating up to seven ADC drug candidates\nUpfront, milestones, and royalties associated with each program", "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 12:27:57.243+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "a27a1d3f-7218-4c51-8a0c-c2119af24720", "parentComponentId": null }, { "bbox": { "h": 0.065, "w": 0.903, "x": 0.036, "y": 0.118 }, "kind": "title", "text": "Multi-program collaboration with emerging biotech partner", "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 12:27:57.243+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "fda7c803-9189-4de2-8bbf-603fbb93a6f2", "parentComponentId": null }, { "bbox": { "h": 0.025, "w": 0.166, "x": 0.036, "y": 0.068 }, "kind": "title", "text": "Partnership Spotlight", "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 12:27:57.243+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6526e054-501d-461f-8ae7-542f9975e2b5", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 24, "type": "setup", "title": "Includes a 'Chief Morale Officer' (a dog) as a lighthearted team member.", "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": "balanced", "densityScore": 32, "componentCount": 5, "textChars": 134, "nDataPoints": 0, "notes": "Includes a 'Chief Morale Officer' (a dog) as a lighthearted team member.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 15:31:36.054+00", "seconds": 2.943, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de073-9cbe-768d-a7d1-8fc0965b655d/24", "deck": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d", "deckAnchor": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d#slide-24", "deckJson": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d.json" }, "components": [ { "bbox": { "h": 0.315, "w": 0.934, "x": 0.033, "y": 0.191 }, "kind": "image", "text": "Executive team headshots", "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 15:31:36.054+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "10cd5655-1fb5-489b-97ba-e0d657dcab70", "parentComponentId": null }, { "bbox": { "h": 0.255, "w": 0.681, "x": 0.033, "y": 0.595 }, "kind": "image", "text": "Board of directors headshots", "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 15:31:36.054+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "890f5f58-13b0-41ac-8615-887139996246", "parentComponentId": null }, { "bbox": { "h": 0.071, "w": 0.848, "x": 0.036, "y": 0.115 }, "kind": "title", "text": "The right leadership team to accomplish the impossible", "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 15:31:36.054+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "24cf13a0-512b-4111-81c1-a93add2a408f", "parentComponentId": null }, { "bbox": { "h": 0.031, "w": 0.158, "x": 0.033, "y": 0.558 }, "kind": "title", "text": "Board of Directors", "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 15:31:36.054+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0f03c6ea-a9b9-4279-baf4-cf537f792d35", "parentComponentId": null }, { "bbox": { "h": 0.031, "w": 0.122, "x": 0.036, "y": 0.068 }, "kind": "title", "text": "Management", "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 15:31:36.054+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "d1e4033c-631b-4ad2-8c7c-b0fcfaa4c51c", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 25, "type": "setup", "title": "The slide uses a three-column layout to categorize key business pillars.", "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": 63, "componentCount": 6, "textChars": 450, "nDataPoints": 2, "notes": "The slide uses a three-column layout to categorize key business pillars.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 12:27:56.73+00", "seconds": 2.587, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de073-9cbe-768d-a7d1-8fc0965b655d/25", "deck": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d", "deckAnchor": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d#slide-25", "deckJson": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d.json" }, "components": [ { "bbox": { "h": 0.05, "w": 0.4, "x": 0.1, "y": 0.93 }, "kind": "disclaimer", "text": "*As of August 11, 2022; Active Programs: programs in which we have negotiated, or expect to negotiate, license agreements for downstream milestones and royalties", "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 12:27:56.73+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "72081881-aa6c-47fe-9faa-2bcabbb37e3b", "parentComponentId": null }, { "bbox": { "h": 0.468, "w": 0.628, "x": 0.315, "y": 0.068 }, "kind": "image", "text": "Lab and team photos", "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 12:27:56.73+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "db946892-fe1f-41e9-8bf6-792251062b7a", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.3, "x": 0.03, "y": 0.32 }, "kind": "list", "text": "Technology: Expansive end-to-end platform, AI-enabled performance, Bionic protein creation", "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 12:27:56.73+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "20cd1c8c-de3f-485d-a5f6-c64ecc66d235", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.3, "x": 0.65, "y": 0.59 }, "kind": "list", "text": "Partnerships: Top tier partners, 19 Active Programs", "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 12:27:56.73+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "de61331f-c9dc-41bb-bcc7-610ccc5be72e", "parentComponentId": null }, { "bbox": { "h": 0.4, "w": 0.25, "x": 0.355, "y": 0.4 }, "kind": "list", "text": "Company: World-class team, Well capitalized, State-of-the-art headquarters, Absci AI Research (AAIR) lab", "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 12:27:56.73+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f721789d-2227-4a5a-979c-0e8ebf5307d1", "parentComponentId": null }, { "bbox": { "h": 0.06, "w": 0.15, "x": 0.03, "y": 0.06 }, "kind": "title", "text": "Investor Highlights Absci", "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 12:27:56.73+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "92b3ae48-a78e-4830-aca5-e35130dd40a0", "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": "b4b472c3-f770-4a61-9d93-245e49d78b9d", "evidence": "title/headline: Investor Highlights Absci", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 0.9, "extraction": { "at": "2026-07-17 00:11:14.701751+00", "model": "or:meta-llama/llama-4-scout", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 25, "whyItWorks": null, "antipattern": null, "cardinality": "common", "narrativePurpose": null } ], "frameworks": [], "arcBeats": [], "loops": [], "locked": true }, { "page": 26, "type": "setup", "title": "The slide uses a lightbulb icon as a metaphor for innovation.", "function": "inspire_vision", "rawType": "transition", "block": null, "metadata": { "slideType": "transition", "slideTypeCanon": { "name": "Transition", "slug": "transition", "status": "active", "canonId": "019de52d-0693-7766-9f05-887f41f8e41e", "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": 15, "componentCount": 3, "textChars": 129, "nDataPoints": 0, "notes": "The slide uses a lightbulb icon as a metaphor for innovation.", "elementsJson": null, "confidence": 1, "extraction": { "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "at": "2026-05-02 12:28:01.404+00", "seconds": 7.104, "promptVersion": "v2-canon-conditioned" } }, "links": { "slide": "/slides/019de073-9cbe-768d-a7d1-8fc0965b655d/26", "deck": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d", "deckAnchor": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d#slide-26", "deckJson": "/decks/019de073-9cbe-768d-a7d1-8fc0965b655d.json" }, "components": [ { "bbox": { "h": 0.35, "w": 0.125, "x": 0.167, "y": 0.457 }, "kind": "image", "text": "Lightbulb icon with line art", "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 12:28:01.404+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f48331d5-4a6d-4357-86ed-9eaee917df10", "parentComponentId": null }, { "bbox": { "h": 0.025, "w": 0.225, "x": 0.287, "y": 0.828 }, "kind": "paragraph", "text": "We translate ideas into impact™", "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 12:28:01.404+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "6fe66209-a3ab-489f-bce2-3fd66d1454b3", "parentComponentId": null }, { "bbox": { "h": 0.102, "w": 0.564, "x": 0.218, "y": 0.178 }, "kind": "title", "text": "Just because something hasn't been done, doesn't mean it can't be done", "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 12:28:01.404+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "142eff00-2094-45c7-9475-4a73f0a42fa7", "parentComponentId": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [], "loops": [], "locked": true } ], "arcBeats": [ { "from": 3, "to": 4, "label": "Context", "description": "Slides 3-4 provide context on the breakthroughs in biotech and the challenges of biologic drug discovery" }, { "from": 5, "to": 7, "label": "Problem Statement", "description": "Slides 5-7 highlight the problems with biologic drug discovery" }, { "from": 8, "to": 12, "label": "Solution", "description": "Slides 8-12 present Absci's solution, including its proprietary wet lab data and AI-enabled platform" }, { "from": 11, "to": 11, "label": "Vision", "description": "Slide 11 presents Absci's vision" }, { "from": 16, "to": 18, "label": "Traction", "description": "Slides 16-18 showcase Absci's achievements and traction" }, { "from": 20, "to": 21, "label": "Business Model", "description": "Slides 20-21 present Absci's business model" } ], "loops": [ { "from": 5, "to": 7, "label": "Cost Of Inaction", "description": "Highlight the cost of inaction in biologic drug discovery" }, { "from": 3, "to": 4, "label": "Golden Circle", "description": "Explain the why behind Absci's approach" }, { "from": 16, "to": 18, "label": "Quick Win Big Bet", "description": "Showcase Absci's achievements and traction" } ] }