{
  "schemaVersion": "deck-intelligence.v1",
  "id": "019dd923-5f69-752d-a9b5-1f420f49c37a",
  "slug": "D27roqhpUL914EEbitTI",
  "title": "Google's ex-CFO backed deep-tech startup Apheris in a $3 million seed round after seeing this pitch deck",
  "subtitle": "Apheris AI",
  "author": "Apheris AI",
  "pageCount": 10,
  "kind": "pitchdeck",
  "orientation": "landscape",
  "aspectRatio": 1.789,
  "document": {
    "id": "019dd923-5f69-752d-a9b5-1f420f49c37a",
    "slug": "D27roqhpUL914EEbitTI",
    "title": "Google's ex-CFO backed deep-tech startup Apheris in a $3 million seed round after seeing this pitch deck",
    "rawTitle": "Google's ex-CFO backed deep-tech startup Apheris in a $3 million seed round after seeing this pitch deck",
    "authorId": "Pitchdecks",
    "authorName": "Apheris AI",
    "authorDisplay": "Apheris AI",
    "kind": {
      "slug": "pitchdeck",
      "label": "Pitch deck"
    },
    "sourceType": {
      "slug": "strategy_consulting",
      "label": "Strategy consulting"
    },
    "fileName": "Apheris-D27roqhp.pdf",
    "sourceUrl": "https://www.businessinsider.com/twitter-chair-patrick-pichette-backed-apheris-after-seeing-this-pitch-2020-8",
    "sourceDate": "2020-10-22 00:00:00",
    "presentationDate": null,
    "ingestedAt": "2026-04-27 08:46:10.323+00",
    "status": "ready",
    "pageCount": 10,
    "orientation": "landscape",
    "aspectRatio": 1.789,
    "targetCompany": null,
    "targetTicker": null,
    "metadata": {
      "local_root": "/tmp/legacy-images/D27roqhpUL914EEbitTI",
      "origin_corpus": "consulting"
    }
  },
  "coverage": {
    "pageCount": 10,
    "pagesIndexed": 10,
    "pagesWithImages": 10,
    "pagesWithMetadata": 10,
    "imageCoveragePct": 100,
    "metadataCoveragePct": 100,
    "componentCount": 51,
    "chartCount": 2,
    "metricSlides": 0,
    "toolMatches": 9,
    "documentToolMatches": 0,
    "frameworkMatches": 6,
    "arcMatches": 1,
    "beatMatches": 4,
    "loopMatches": 2,
    "patternMatches": 0,
    "storymakersMatch": false,
    "scoreAvailable": false,
    "reviewAvailable": false,
    "activistThesisAvailable": false,
    "pitchdeckMetadataAvailable": true,
    "pitchdeckProfileAvailable": true
  },
  "blocks": [],
  "matches": {
    "arcs": [
      {
        "arc": {
          "name": "The Sequoia Pitch",
          "slug": "sequoia-pitch",
          "status": "active",
          "bestFor": "Investor pitches, Series A/B, board presentations",
          "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444",
          "version": 1,
          "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
          "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask",
          "description": null,
          "familyLabel": null,
          "categoryName": "Strategy & Business",
          "categorySlug": "strategy-business"
        },
        "matchId": "daba4daa-30ff-4f81-b620-9b4ed969ef84",
        "evidence": "The deck follows a similar structure to the Sequoia Pitch arc",
        "isPrimary": true,
        "confidence": 0.8,
        "extraction": {
          "at": "2026-07-16 21:32:13.433919+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": "doc-narrative-v1"
        }
      }
    ],
    "beats": [
      {
        "to": 4,
        "arc": {
          "name": "The Sequoia Pitch",
          "slug": "sequoia-pitch",
          "status": "active",
          "bestFor": "Investor pitches, Series A/B, board presentations",
          "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444",
          "version": 1,
          "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
          "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask",
          "description": null,
          "familyLabel": null,
          "categoryName": "Strategy & Business",
          "categorySlug": "strategy-business"
        },
        "from": 4,
        "name": "Problem",
        "beatId": "553763e8-ee29-4b61-b350-4d900bdbbd80",
        "matchId": "daba4daa-30ff-4f81-b620-9b4ed969ef84",
        "beatType": {
          "name": "Problem",
          "slug": "sequoia-pitch-problem",
          "status": "active",
          "canonId": "019dd9b8-1ed4-767b-8e05-40e733bd2311",
          "version": 1,
          "description": null
        },
        "evidence": "The problem is clearly stated on page 4",
        "position": 0,
        "isPrimaryArc": true,
        "parentBeatType": {
          "name": "Complication",
          "slug": "complication",
          "status": "active",
          "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579",
          "version": 1,
          "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs."
        },
        "alignedBlockIds": null,
        "matchConfidence": 0.8
      },
      {
        "to": 6,
        "arc": {
          "name": "The Sequoia Pitch",
          "slug": "sequoia-pitch",
          "status": "active",
          "bestFor": "Investor pitches, Series A/B, board presentations",
          "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444",
          "version": 1,
          "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
          "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask",
          "description": null,
          "familyLabel": null,
          "categoryName": "Strategy & Business",
          "categorySlug": "strategy-business"
        },
        "from": 5,
        "name": "Solution",
        "beatId": "201444eb-be38-4630-b168-2bf2329a64bb",
        "matchId": "daba4daa-30ff-4f81-b620-9b4ed969ef84",
        "beatType": {
          "name": "Solution",
          "slug": "sequoia-pitch-solution",
          "status": "active",
          "canonId": "019dd9b8-1fb1-71d9-a260-07738d7f9c2f",
          "version": 1,
          "description": null
        },
        "evidence": "The solution is presented on pages 5 and 6",
        "position": 1,
        "isPrimaryArc": true,
        "parentBeatType": {
          "name": "Turn",
          "slug": "turn",
          "status": "active",
          "canonId": "019dd9b8-0396-702b-ac2f-9901f8dd8b54",
          "version": 1,
          "description": "The pivot — solution proposed, catalyst introduced, decision made. Common (15/20 arcs) but not universal: Triple-take, AIDA, PAS, Voyage-return and Pixar substitute it with a strong reflection or development beat."
        },
        "alignedBlockIds": null,
        "matchConfidence": 0.8
      },
      {
        "to": 7,
        "arc": {
          "name": "The Sequoia Pitch",
          "slug": "sequoia-pitch",
          "status": "active",
          "bestFor": "Investor pitches, Series A/B, board presentations",
          "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444",
          "version": 1,
          "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
          "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask",
          "description": null,
          "familyLabel": null,
          "categoryName": "Strategy & Business",
          "categorySlug": "strategy-business"
        },
        "from": 7,
        "name": "Traction",
        "beatId": "d2d76426-43f4-4281-8c54-8b678542231b",
        "matchId": "daba4daa-30ff-4f81-b620-9b4ed969ef84",
        "beatType": null,
        "evidence": "Traction is shown on page 7",
        "position": 2,
        "isPrimaryArc": true,
        "parentBeatType": null,
        "alignedBlockIds": null,
        "matchConfidence": 0.8
      },
      {
        "to": 8,
        "arc": {
          "name": "The Sequoia Pitch",
          "slug": "sequoia-pitch",
          "status": "active",
          "bestFor": "Investor pitches, Series A/B, board presentations",
          "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444",
          "version": 1,
          "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
          "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask",
          "description": null,
          "familyLabel": null,
          "categoryName": "Strategy & Business",
          "categorySlug": "strategy-business"
        },
        "from": 8,
        "name": "The Ask",
        "beatId": "69ba43cf-77ae-4ff8-b7a0-580440518436",
        "matchId": "daba4daa-30ff-4f81-b620-9b4ed969ef84",
        "beatType": {
          "name": "The Ask",
          "slug": "sequoia-pitch-the-ask",
          "status": "active",
          "canonId": "019dd9b8-24f3-72bf-940a-74d06fd9396b",
          "version": 1,
          "description": null
        },
        "evidence": "The ask is presented on page 8",
        "position": 3,
        "isPrimaryArc": true,
        "parentBeatType": {
          "name": "Resolution",
          "slug": "resolution",
          "status": "active",
          "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b",
          "version": 1,
          "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution."
        },
        "alignedBlockIds": null,
        "matchConfidence": 0.8
      }
    ],
    "loops": [
      {
        "to": 4,
        "from": 4,
        "loop": {
          "name": "15_why_now",
          "slug": "15-why-now",
          "status": "active",
          "bestFor": "Sales pitches, fundraising, requesting immediate budget approval",
          "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f",
          "version": 1,
          "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
          "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity",
          "description": "Create temporal urgency by proving that the window of opportunity is opening or closing",
          "familyLabel": null,
          "categoryName": "Urgency",
          "categorySlug": "urgency"
        },
        "matchId": "1ac41227-9ac7-4c40-ba8a-be4f8b417f18",
        "evidence": "The why now section is on page 4",
        "position": 0,
        "objective": "Why now is the right time for Apheris",
        "confidence": 0.7,
        "extraction": {
          "at": "2026-07-16 21:32:13.630941+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": "doc-narrative-v1"
        }
      },
      {
        "to": 6,
        "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": "1e4a5966-f93b-4f67-85df-c0ed341ee8e9",
        "evidence": "The solution implies the cost of inaction",
        "position": 1,
        "objective": "The cost of inaction for companies not using Apheris",
        "confidence": 0.6,
        "extraction": {
          "at": "2026-07-16 21:32:13.670787+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": "doc-narrative-v1"
        }
      }
    ],
    "tools": [
      {
        "tool": {
          "name": "Slide recipe: Cover",
          "slug": "cover-slide",
          "status": "active",
          "bestFor": null,
          "canonId": "019df269-2a08-767d-9128-e7431e6fe8a3",
          "version": 1,
          "bodyDocId": "019df269-29e5-7738-b5fa-6892e5dc8e65",
          "description": "The first ten seconds. Build it deliberately.",
          "familyLabel": "slide-recipe",
          "categoryName": "Slide",
          "categorySlug": "slide"
        },
        "agent": "designer",
        "layer": "slide",
        "agents": [
          "designer"
        ],
        "matchId": "3ccab59c-3aa4-43ae-9fe0-6889892c4b2b",
        "evidence": "type: cover",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-07-16 22:23:43.927984+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 1,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "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": "7c4009b8-e150-4c9a-8666-e9c09bfa0ab6",
        "evidence": "type: executive_summary",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-07-16 22:23:44.007855+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 2,
        "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": "6d159f83-f93b-4880-bf9b-5ede3352c0e2",
        "evidence": "framework/instance: Value Chain process flow",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.7,
        "extraction": {
          "at": "2026-07-16 22:23:44.086678+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 3,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": "common",
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Chart Selection Guide",
          "slug": "chart-selection-guide",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae",
          "version": 1,
          "bodyDocId": null,
          "description": "Choosing the right chart type for your data and message",
          "familyLabel": null,
          "categoryName": "Slide",
          "categorySlug": "slide"
        },
        "agent": "Designer",
        "layer": "slide",
        "agents": [
          "Designer"
        ],
        "matchId": "1eadadbb-7224-4a6d-988b-7f311a55c1bd",
        "evidence": "chart/line: Learning curves for different AI algorithms",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.5,
        "extraction": {
          "at": "2026-07-16 22:23:44.165783+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 4,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Before-After-Bridge",
          "slug": "before-after-bridge",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-8604-7188-883f-42370288ad05",
          "version": 1,
          "bodyDocId": null,
          "description": "Narrative structure: Paint the before, show the after, explain the bridge",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "slide",
        "agents": [
          "Storyteller"
        ],
        "matchId": "e70f156f-9bc3-4a35-a436-c0b5e102a54c",
        "evidence": "diagram/hub-spoke: Data sharing within and across companies",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.7,
        "extraction": {
          "at": "2026-07-16 22:23:44.246037+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": "Before/after framing",
          "slug": "before-after-framing",
          "status": "active",
          "bestFor": "For turnaround / reform proposals",
          "canonId": "019dd9e1-528b-72ec-a563-e5dcb9410f67",
          "version": 1,
          "bodyDocId": "019dd9a1-80bf-72e9-980b-ccd1c0cd3488",
          "description": "You visualise two futures side by side: the trajectory the target is on\ntoday, and the trajectory under your proposed intervention. The reader\nhas to see the delta to feel the stakes.\n\nIt's the rhetorical cousin of the peer-gap — same visual grammar\n(comparison), but across **time** instead of across peers.",
          "familyLabel": null,
          "categoryName": null,
          "categorySlug": null
        },
        "agent": null,
        "layer": "slide",
        "agents": null,
        "matchId": "6870c689-486e-4e8f-80e6-3f5dd5e0cd31",
        "evidence": "paragraph/paragraph: Future with apheris: privacy preserving data ecosystems within one company or across several companies",
        "pageRefs": null,
        "priority": null,
        "whenToUse": "For turnaround / reform proposals",
        "confidence": 0.7,
        "extraction": {
          "at": "2026-07-16 22:23:44.286023+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 5,
        "whyItWorks": "- It **quantifies the opportunity cost** of inaction. \"Doing nothing\"\n  becomes a concrete, visible path, not an abstraction.\n- It **makes the Answer tangible**. The prescription isn't a paragraph;\n  it's a trajectory the reader can point at.\n- It **pre-empts the status-quo defence**. Management usually argues \"we\n  have a plan\". Your chart shows what their plan looks like vs. yours.\n- It **satisfies both the Architect** (math adds up) **and the Storyteller**\n  (emotional delta between two futures).",
        "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": "fb8b314e-b56b-412d-91a1-b7bde94a882b",
        "evidence": "diagram/hub-spoke: Workflow diagram showing Data Analyst, Untrained/Trained models, Privacy Engine, Compute Engine, Privacy Firewall, and Distributed Data.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.7,
        "extraction": {
          "at": "2026-07-16 22:23:44.362859+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 6,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": "common",
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "List presentation",
          "slug": "list-presentation",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1",
          "version": 1,
          "bodyDocId": null,
          "description": "Bulleted, numbered, or checklist enumerations.",
          "familyLabel": null,
          "categoryName": null,
          "categorySlug": null
        },
        "agent": null,
        "layer": "slide",
        "agents": null,
        "matchId": "300f37a7-96e3-4afc-8b80-6533c293ac91",
        "evidence": "list/bullet: Multiple paid pilots and a massive pipeline. E.g., paid pilot for edge-based computations. Very strong pharma & chemistry pipeline.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.5,
        "extraction": {
          "at": "2026-07-16 22:23:44.441218+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": "Slide recipe: Closing ask",
          "slug": "closing-ask-slide",
          "status": "active",
          "bestFor": null,
          "canonId": "019df269-295e-70bc-9ee8-baa90a49922d",
          "version": 1,
          "bodyDocId": "019df269-293a-7523-9bb5-2692a9047168",
          "description": "The last slide the reader sees. Treat it as a single design moment —",
          "familyLabel": "slide-recipe",
          "categoryName": "Slide",
          "categorySlug": "slide"
        },
        "agent": "designer",
        "layer": "slide",
        "agents": [
          "designer"
        ],
        "matchId": "7f47bff2-1f6e-45c3-a77a-85b6af671361",
        "evidence": "title/action-title: Inspired by Complexity, Driven by Impact",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.7,
        "extraction": {
          "at": "2026-07-16 22:23:44.598633+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": "a1b24ba1-52df-4a65-b1ba-ffa5455ed4a8",
        "evidence": "The slide is explicitly titled Executive Summary and follows a standard summary structure.",
        "framework": null,
        "confidence": 1,
        "extraction": {
          "at": "2026-05-02 16:39:16.407+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 2,
        "frameworkName": "executive-summary"
      },
      {
        "matchId": "fed7caf9-8c07-493c-b783-bf315feb0914",
        "evidence": "The slide maps enterprise functions in a sequential process flow.",
        "framework": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-05-02 16:39:16.028+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 3,
        "frameworkName": "value-chain"
      },
      {
        "matchId": "2f54b1e1-c857-42b9-98d3-c9115caca93b",
        "evidence": "Uses academic research to support a business thesis",
        "framework": null,
        "confidence": 0.8,
        "extraction": {
          "at": "2026-05-02 16:39:26.391+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 4,
        "frameworkName": "evidence-matrix"
      },
      {
        "matchId": "7b77877a-7f23-432d-9996-cec3de38d1db",
        "evidence": "The slide explicitly contrasts 'Today' (problem) with 'Future with apheris' (solution).",
        "framework": null,
        "confidence": 1,
        "extraction": {
          "at": "2026-05-02 16:39:19.008+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 5,
        "frameworkName": "before-after-framing"
      },
      {
        "matchId": "4ddb07b1-e4ff-4520-9f47-1f4b226471e6",
        "evidence": "Centralized processing engines interacting with multiple distributed data nodes.",
        "framework": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-05-02 16:39:19.318+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 6,
        "frameworkName": "hub-spoke"
      },
      {
        "matchId": "0926a65b-82e9-411a-9b5a-95af732bbeed",
        "evidence": "Chronological representation of company milestones",
        "framework": null,
        "confidence": 1,
        "extraction": {
          "at": "2026-05-02 16:39:19.666+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 8,
        "frameworkName": "timeline"
      }
    ],
    "patterns": []
  },
  "storymakers": null,
  "score": null,
  "review": null,
  "activistThesis": null,
  "pitchdeck": {
    "metadata": {
      "author": "Martin Coulter",
      "fireId": "D27roqhpUL914EEbitTI",
      "sector": null,
      "deckKind": "fundraise",
      "roundRaw": "$3 million seed",
      "amountRaw": "$3 million",
      "amountUsd": "3000000",
      "scrapedAt": "2026-04-27 08:46:10.323+00",
      "sectorRaw": null,
      "sourceUrl": "https://www.businessinsider.com/twitter-chair-patrick-pichette-backed-apheris-after-seeing-this-pitch-2020-8",
      "deckKindAt": "2026-04-28 07:19:06+00",
      "highlights": "Berlin-based deep tech startup Apheris raised funding from institutional investors and angel investors;; including Twitter chair Patrick Pichette;; in a $3 million seed fundraising round. Apheris helps private companies navigate the complexities of local data privacy laws;; allowing them to extract insights from datasets through the use of AI technology.  We got an exclusive look at the pitch deck Apheris used to bring investors on board.  Visit Business Insider's homepage for more stories.",
      "slideCount": 10,
      "companyName": "Apheris",
      "description": "Berlin-based deep tech startup Apheris raised funding from institutional investors and angel investors;; including Twitter chair Patrick Pichette;; in a $3 million seed fundraising round. Apheris helps private companies navigate the complexities of local data privacy laws;; allowing them to extract insights from datasets through the use of AI technology.  We got an exclusive look at the pitch deck Apheris used to bring investors on board.  Visit Business Insider's homepage for more stories.  Patrick Pichette;; the chair of Twitter's board of directors and Google's ex-CFO;; has backed deep tech startup Apheris in a $3 million seed funding round alongside other investors.   Founded in 2019;; Apheris helps clients analyze data without risking privacy infractions. The free flow of internal data can be a minefield for private businesses;; with large bulks of valuable information remaining unusable or unshareable due to privacy;; compliance;; legal or security concerns.  Apheris is a software-as-a-service company and CEO and cofounder Robin Rohm told Insider its pricing structure depended \"on the use case and the data ecosystem that it's empowered\".   \"There are other companies that focus on federated machine learning to enable computing on static and structured data;; but they do not enable a data scientist to do data science on third-party data;;\" he added.  \"Apheris provides an interface to data scientists that allows them to do real R&D and data science while preserving data privacy and ownership.\"  The firm said that;; less than one year after launch;; it had worked with around seven clients;; including \"top pharmaceutical;; chemical;; telecommunication;; and manufacturing companies.\"  Seed investor LocalGlobe led the round alongside Dig Ventures and Pichette. Additional investors include another.vc;; System.One;; and angel investors Charles Songhurst;; NaturalMotion founder Torsten Reil;; and Songkick founder Ian Hogarth.  Check out the pitch deck that brought them on board below:",
      "displayName": "Apheris",
      "publishDate": "2020-10-22",
      "roundSeries": "seed",
      "articleTitle": "Google's ex-CFO backed deep-tech startup Apheris in a $3 million seed round after seeing this pitch deck",
      "leadInvestors": "LocalGlobe",
      "deckKindSignal": "seed round",
      "metaExtractedAt": "2026-04-28 07:16:02+00"
    },
    "profile": {
      "scores": {
        "yc": 0.4908,
        "a16z": 0.4108,
        "docsend": 0.245,
        "hoffman": 0.3923,
        "mcclure": 0.3486,
        "sequoia": 0.245,
        "kawasaki": 0.3986,
        "nextview": 0.3417,
        "slidebean": 0.4492,
        "founder_institute": 0.4433
      },
      "nSlides": 10,
      "sequence": [
        "cover",
        "executive_summary",
        "industry_trends",
        "problem_statement",
        "solution",
        "solution",
        "traction",
        "use_of_funds",
        "team_bio",
        "closing_ask"
      ],
      "breakdown": {
        "yc": {
          "order": 0.6,
          "signal": 0.08,
          "jaccard": 0.4615
        },
        "a16z": {
          "order": 0.6,
          "signal": 0,
          "jaccard": 0.4615
        },
        "docsend": {
          "order": 0.4,
          "signal": 0,
          "jaccard": 0.25
        },
        "hoffman": {
          "order": 0.5,
          "signal": 0.05,
          "jaccard": 0.3846
        },
        "mcclure": {
          "order": 0.4,
          "signal": 0.05,
          "jaccard": 0.3571
        },
        "sequoia": {
          "order": 0.4,
          "signal": 0,
          "jaccard": 0.25
        },
        "kawasaki": {
          "order": 0.4,
          "signal": 0.1,
          "jaccard": 0.3571
        },
        "nextview": {
          "order": 0.4444,
          "signal": 0,
          "jaccard": 0.4167
        },
        "slidebean": {
          "order": 0.6,
          "signal": 0,
          "jaccard": 0.5385
        },
        "founder_institute": {
          "order": 0.7,
          "signal": 0,
          "jaccard": 0.4667
        }
      },
      "matchedAt": "2026-04-27 21:51:54+00",
      "noveltyScore": 0.6592,
      "primaryScore": 0.4908,
      "noveltySignals": [
        "rare slide types: use_of_funds",
        "non-canonical types: industry_trends"
      ],
      "primaryProfile": "yc",
      "secondaryScore": 0.4492,
      "secondaryProfile": "slidebean"
    }
  },
  "slides": [
    {
      "page": 1,
      "type": "setup",
      "function": "front_matter",
      "imagePath": "https://imgproxy.kitesheet.com/cn-eZ2MQ2HVs3-8S-hkn9h8XAjtVP-NjjqUSJbGAJ1g/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9EMjdyb3FocFVMOTE0RUViaXRUSS9wMDAxLmpwZw",
      "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": "sparse",
        "densityScore": 24,
        "componentCount": 4,
        "textChars": 139,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": [
          "headline_text"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 16:39:15.962+00",
          "seconds": 2.341,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5f69-752d-a9b5-1f420f49c37a/1",
        "deck": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a",
        "deckAnchor": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a#slide-1",
        "deckJson": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a.json"
      },
      "components": [
        {
          "bbox": null,
          "kind": "callout",
          "text": "Collaborate on data securely without compromising privacy",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": {
              "name": "Visual emphasis",
              "slug": "visual-emphasis",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c",
              "version": 1,
              "bodyDocId": null,
              "description": "Drawing the eye to one element above the rest of the slide.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-27 14:37:19+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd952-9d66-7639-a076-8b0f3ce624f3",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.35,
            "w": 0.17,
            "x": 0.05,
            "y": 0.18
          },
          "kind": "image",
          "text": "Apheris AI logo",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Illustration",
              "slug": "illustration",
              "status": "active",
              "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "illustration",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:15.962+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "df309257-ff72-4b9b-933f-d80246ed8a63",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.54,
            "x": 0.23,
            "y": 0.7
          },
          "kind": "title",
          "text": "Collaborate on data securely without compromising privacy",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Action title",
              "slug": "action-title",
              "status": "active",
              "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "action-title",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:15.962+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "bafed59a-acc2-4a3c-b4e0-0b1e9bfbf904",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.28,
            "w": 0.48,
            "x": 0.23,
            "y": 0.22
          },
          "kind": "title",
          "text": "apheris 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 16:39:15.962+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "31fdf983-74ee-4458-8f67-baccbad29693",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Slide recipe: Cover",
            "slug": "cover-slide",
            "status": "active",
            "bestFor": null,
            "canonId": "019df269-2a08-767d-9128-e7431e6fe8a3",
            "version": 1,
            "bodyDocId": "019df269-29e5-7738-b5fa-6892e5dc8e65",
            "description": "The first ten seconds. Build it deliberately.",
            "familyLabel": "slide-recipe",
            "categoryName": "Slide",
            "categorySlug": "slide"
          },
          "agent": "designer",
          "layer": "slide",
          "agents": [
            "designer"
          ],
          "matchId": "3ccab59c-3aa4-43ae-9fe0-6889892c4b2b",
          "evidence": "type: cover",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-07-16 22:23:43.927984+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 1,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "thumbSrc": "https://imgproxy.kitesheet.com/LDFrfgSB4wz1gDCPVmEmL7AtRjFJTVJkWsQQZ_3qp_g/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9EMjdyb3FocFVMOTE0RUViaXRUSS9wMDAxLmpwZw",
      "imagePathAlt": "https://imgproxy.kitesheet.com/lP86QTqHYHKpU9h4KfCmF6YH6EjIthu1gasSmml4muw/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9EMjdyb3FocFVMOTE0RUViaXRUSS9wMDAxLnBuZw",
      "thumbSrcAlt": "https://imgproxy.kitesheet.com/yTeZA4VYwt_orL-PayE1NRl5QLlmlRSUiGoAKEd4hXw/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9EMjdyb3FocFVMOTE0RUViaXRUSS9wMDAxLnBuZw"
    },
    {
      "page": 2,
      "type": "setup",
      "title": "The slide uses a classic three-pillar structure (Who, What, Why) followed by a clear call to action regarding the fundraising round.",
      "function": "summarize",
      "rawType": "executive_summary",
      "block": null,
      "metadata": {
        "slideType": "executive_summary",
        "slideTypeCanon": {
          "name": "Executive summary",
          "slug": "executive_summary",
          "status": "active",
          "canonId": "019de52d-06be-73ff-81b3-f99fe7f0025e",
          "version": 1,
          "description": null
        },
        "function": "summarize",
        "functionCanon": {
          "name": "Summarize",
          "slug": "summarize",
          "status": "active",
          "canonId": "019de52d-1541-704f-b86f-bf7b75056373",
          "version": 1,
          "description": null
        },
        "density": "overcrowded",
        "densityScore": 78,
        "componentCount": 7,
        "textChars": 743,
        "nDataPoints": 3,
        "notes": "The slide uses a classic three-pillar structure (Who, What, Why) followed by a clear call to action regarding the fundraising round.",
        "elementsJson": [
          "headline_text",
          "bullet_list",
          "icon_grid",
          "callout_box"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 16:39:16.407+00",
          "seconds": 2.629,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5f69-752d-a9b5-1f420f49c37a/2",
        "deck": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a",
        "deckAnchor": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a#slide-2",
        "deckJson": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.1,
            "w": 0.9,
            "x": 0.05,
            "y": 0.2
          },
          "kind": "callout",
          "text": "apheris AI is building privacy preserving data ecosystems that empower companies to securely and privately share data",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": null,
            "subkind": {
              "name": "Primary callout",
              "slug": "primary",
              "status": "active",
              "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:16.407+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "329edd2c-c382-4448-bb85-1b32951e7fc6",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "callout",
          "text": "We are raising EUR 2m to build out our core product and ramp up Sales",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": {
              "name": "Visual emphasis",
              "slug": "visual-emphasis",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c",
              "version": 1,
              "bodyDocId": null,
              "description": "Drawing the eye to one element above the rest of the slide.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-27 14:37:18+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd952-9d66-7639-a075-aaa1e6eaab49",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.2,
            "w": 0.28,
            "x": 0.04,
            "y": 0.5
          },
          "kind": "list",
          "text": "Who we are: Leading Start-up focusing on federated and privacy preserving machine learning; Team of world leading entrepreneurs, engineers and interdisciplinary scientists",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:16.407+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "82d7d227-bbde-4ca3-aff5-aa2672a3b57e",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.2,
            "w": 0.28,
            "x": 0.36,
            "y": 0.5
          },
          "kind": "list",
          "text": "What we do: Provide technical solutions that empower companies to share data while preserving the IP; Customers include the largest pharmaceutical, industrial and chemical companies",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:16.407+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "a4c1ad92-6dec-4c22-bc6e-67bac838a55b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.2,
            "w": 0.28,
            "x": 0.68,
            "y": 0.5
          },
          "kind": "list",
          "text": "Why we win: Unique positioning in multiple markets; Proven and profitable SaaS business model; Stunning early traction!",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:16.407+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ffff645c-1b82-4f93-a795-3ef7c7398447",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.66,
            "x": 0.17,
            "y": 0.82
          },
          "kind": "paragraph",
          "text": "We are raising EUR 2m to build out our core product and ramp up Sales",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:16.407+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "d8a21f8c-9cb3-4a24-a3df-6ab0452641fd",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.28,
            "x": 0.048,
            "y": 0.09
          },
          "kind": "title",
          "text": "Executive Summary",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:16.407+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "bf096616-03ed-400d-a0ba-0bec087e11ed",
          "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": "7c4009b8-e150-4c9a-8666-e9c09bfa0ab6",
          "evidence": "type: executive_summary",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-07-16 22:23:44.007855+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 2,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": "common",
          "narrativePurpose": null
        }
      ],
      "frameworks": [
        {
          "matchId": "a1b24ba1-52df-4a65-b1ba-ffa5455ed4a8",
          "evidence": "The slide is explicitly titled Executive Summary and follows a standard summary structure.",
          "framework": null,
          "confidence": 1,
          "extraction": {
            "at": "2026-05-02 16:39:16.407+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 2,
          "frameworkName": "executive-summary"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 3,
      "type": "setup",
      "title": "The slide uses a value chain style process flow to categorize AI applications across industrial operations.",
      "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": 35,
        "componentCount": 3,
        "textChars": 492,
        "nDataPoints": 0,
        "notes": "The slide uses a value chain style process flow to categorize AI applications across industrial operations.",
        "elementsJson": [
          "action_title",
          "process_diagram",
          "icon_grid"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 16:39:16.028+00",
          "seconds": 2.22,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5f69-752d-a9b5-1f420f49c37a/3",
        "deck": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a",
        "deckAnchor": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a#slide-3",
        "deckJson": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.25,
            "w": 0.9,
            "x": 0.05,
            "y": 0.35
          },
          "kind": "framework",
          "text": "Value Chain process flow",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Framework",
              "slug": "framework",
              "status": "active",
              "canonId": "019de52c-fa18-77c6-b10a-ccb8277ac0fa",
              "version": 1,
              "description": "Named conceptual framework instance."
            },
            "tool": null,
            "subkind": {
              "name": "Framework instance",
              "slug": "instance",
              "status": "active",
              "canonId": "019de52d-05a2-72af-be0b-7edc60708a03",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "instance",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:16.028+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "f6eea0c9-0b58-4ea2-84ba-503a61d7eda8",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.25,
            "w": 0.9,
            "x": 0.05,
            "y": 0.65
          },
          "kind": "list",
          "text": "Exemplary AI use cases: Component design, Structural properties, Mixtures & Formulations, Resource optimization, Prize optimization, Regulatory assessment, Supplier Risk management, Strategic Sourcing, Supply chain optimization, Process optimization, Robotics, Quality inspection, Industry 4.0 / IoT analytics, Predictive Maintenance, Lifecycle management, Driverless distribution, Targeted Sales",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:16.028+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "c66ac76a-90f1-42d5-afcb-27a2da79fa7d",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.9,
            "x": 0.05,
            "y": 0.08
          },
          "kind": "title",
          "text": "AI usage on the rise, transforming every aspect of the modern enterprise",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:16.028+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "c8b45143-2ca4-443f-a02e-03676d51d314",
          "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": "6d159f83-f93b-4880-bf9b-5ede3352c0e2",
          "evidence": "framework/instance: Value Chain process flow",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 22:23:44.086678+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 3,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": "common",
          "narrativePurpose": null
        }
      ],
      "frameworks": [
        {
          "matchId": "fed7caf9-8c07-493c-b783-bf315feb0914",
          "evidence": "The slide maps enterprise functions in a sequential process flow.",
          "framework": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-05-02 16:39:16.028+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 3,
          "frameworkName": "value-chain"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 4,
      "type": "setup",
      "title": "References the classic Banko & Brill paper on scaling laws for NLP.",
      "function": "establish_context",
      "rawType": "why_now",
      "block": null,
      "metadata": {
        "slideType": "why_now",
        "slideTypeCanon": {
          "name": "Why now",
          "slug": "why_now",
          "status": "active",
          "canonId": "019de52d-0f2e-718d-b8ad-256dd87582d0",
          "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": 68,
        "componentCount": 7,
        "textChars": 431,
        "nDataPoints": 1,
        "notes": "References the classic Banko & Brill paper on scaling laws for NLP.",
        "elementsJson": [
          "action_title",
          "line_chart",
          "callout_box",
          "footnote"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 16:39:26.391+00",
          "seconds": 12.569,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5f69-752d-a9b5-1f420f49c37a/4",
        "deck": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a",
        "deckAnchor": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a#slide-4",
        "deckJson": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.2,
            "w": 0.25,
            "x": 0.7,
            "y": 0.4
          },
          "kind": "callout",
          "text": "Companies need large and diverse datasets to do 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 16:39:26.391+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "e48e6b34-8e51-47a8-9f0e-26231aee0e68",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.35,
            "w": 0.25,
            "x": 0.18,
            "y": 0.34
          },
          "kind": "chart",
          "text": "Learning curves for different AI algorithms",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": {
              "name": "Line chart",
              "slug": "line",
              "status": "active",
              "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "line",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:26.391+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b2a15ad8-300e-45ea-ab5d-bf7529cfa044",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "metric",
          "text": "Accuracy",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": {
              "name": "Quantification",
              "slug": "quantification",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88",
              "version": 1,
              "bodyDocId": null,
              "description": "Translating a claim into numbers, charts, or tables.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-27 14:37:19+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd952-9d66-7639-a076-b5513980c93d",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.06,
            "w": 0.35,
            "x": 0.11,
            "y": 0.23
          },
          "kind": "paragraph",
          "text": "The unreasonable effect of data: size of data matters far more than the algorithm itself",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:26.391+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ad05512c-19b0-4fa5-9fcc-9da3dbaaa554",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "quote",
          "text": "Banko, M. and Brill, E., \"Scaling to Very Very Large Corpora for Natural Language Disambiguation\"",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Quote",
              "slug": "quote",
              "status": "active",
              "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a",
              "version": 1,
              "description": "Pull quote or testimonial."
            },
            "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
            },
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-27 14:37:19+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd952-9d66-7639-a076-b2f13de262b1",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.45,
            "x": 0.05,
            "y": 0.94
          },
          "kind": "source-note",
          "text": "1. Banko, M. and Brill, E., \"Scaling to Very Very Large Corpora for Natural Language Disambiguation\"",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Source note",
              "slug": "source-note",
              "status": "active",
              "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948",
              "version": 1,
              "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:26.391+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "4459a56b-1174-4b2b-a4e6-98a3518f07fa",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.5,
            "x": 0.05,
            "y": 0.08
          },
          "kind": "title",
          "text": "AI is only meaningful if you have enough data",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:26.391+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "c3e8402c-8bd1-4621-bc6e-b57f23855dda",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Chart Selection Guide",
            "slug": "chart-selection-guide",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae",
            "version": 1,
            "bodyDocId": null,
            "description": "Choosing the right chart type for your data and message",
            "familyLabel": null,
            "categoryName": "Slide",
            "categorySlug": "slide"
          },
          "agent": "Designer",
          "layer": "slide",
          "agents": [
            "Designer"
          ],
          "matchId": "1eadadbb-7224-4a6d-988b-7f311a55c1bd",
          "evidence": "chart/line: Learning curves for different AI algorithms",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.5,
          "extraction": {
            "at": "2026-07-16 22:23:44.165783+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 4,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [
        {
          "matchId": "2f54b1e1-c857-42b9-98d3-c9115caca93b",
          "evidence": "Uses academic research to support a business thesis",
          "framework": null,
          "confidence": 0.8,
          "extraction": {
            "at": "2026-05-02 16:39:26.391+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 4,
          "frameworkName": "evidence-matrix"
        }
      ],
      "arcBeats": [
        {
          "to": 4,
          "arc": {
            "name": "The Sequoia Pitch",
            "slug": "sequoia-pitch",
            "status": "active",
            "bestFor": "Investor pitches, Series A/B, board presentations",
            "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask",
            "description": null,
            "familyLabel": null
          },
          "from": 4,
          "name": "Problem",
          "beatId": "553763e8-ee29-4b61-b350-4d900bdbbd80",
          "matchId": "daba4daa-30ff-4f81-b620-9b4ed969ef84",
          "beatType": {
            "name": "Problem",
            "slug": "sequoia-pitch-problem",
            "status": "active",
            "canonId": "019dd9b8-1ed4-767b-8e05-40e733bd2311",
            "version": 1,
            "description": null
          },
          "evidence": "The problem is clearly stated on page 4",
          "position": 0,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Complication",
            "slug": "complication",
            "status": "active",
            "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579",
            "version": 1,
            "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [
        {
          "to": 4,
          "from": 4,
          "loop": {
            "name": "15_why_now",
            "slug": "15-why-now",
            "status": "active",
            "bestFor": "Sales pitches, fundraising, requesting immediate budget approval",
            "canonId": "019dd956-6c00-70cd-bd42-6bacc4af726f",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Context (Trends) -> The Trigger Event -> The Window of Opportunity",
            "description": "Create temporal urgency by proving that the window of opportunity is opening or closing",
            "familyLabel": null
          },
          "matchId": "1ac41227-9ac7-4c40-ba8a-be4f8b417f18",
          "evidence": "The why now section is on page 4",
          "position": 0,
          "objective": "Why now is the right time for Apheris",
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 21:32:13.630941+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 5,
      "type": "resolution",
      "title": "Uses a 'Before vs After' framing to illustrate the value proposition.",
      "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": 43,
        "componentCount": 5,
        "textChars": 317,
        "nDataPoints": 0,
        "notes": "Uses a 'Before vs After' framing to illustrate the value proposition.",
        "elementsJson": [
          "action_title",
          "process_diagram"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 16:39:19.008+00",
          "seconds": 5.138,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5f69-752d-a9b5-1f420f49c37a/5",
        "deck": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a",
        "deckAnchor": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a#slide-5",
        "deckJson": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.42,
            "w": 0.32,
            "x": 0.64,
            "y": 0.415
          },
          "kind": "diagram",
          "text": "Data sharing within and across companies",
          "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 16:39:19.008+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "f8d342f8-f629-4819-bc6a-ee42f10585e5",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "framework",
          "text": "Before vs After",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Framework",
              "slug": "framework",
              "status": "active",
              "canonId": "019de52c-fa18-77c6-b10a-ccb8277ac0fa",
              "version": 1,
              "description": "Named conceptual framework instance."
            },
            "tool": null,
            "subkind": {
              "name": "Framework instance",
              "slug": "instance",
              "status": "active",
              "canonId": "019de52d-05a2-72af-be0b-7edc60708a03",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "instance",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:19.008+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "9ac8f804-cad8-4476-ac62-9f616483d3d0",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.07,
            "w": 0.52,
            "x": 0.43,
            "y": 0.263
          },
          "kind": "paragraph",
          "text": "Future with apheris: privacy preserving data ecosystems within one company or across several companies",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:19.008+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ab4ae2a3-d8fc-4ba5-9d48-ba9a7ccd54bd",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.07,
            "w": 0.32,
            "x": 0.048,
            "y": 0.263
          },
          "kind": "paragraph",
          "text": "Today: data analysts are limited to own centralized data",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:19.008+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "deac3bee-9fa8-46f4-960b-0998140288d2",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.138,
            "w": 0.868,
            "x": 0.048,
            "y": 0.096
          },
          "kind": "title",
          "text": "We are building privacy-preserving data ecosystems that empower companies to unlock new AI opportunities",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:19.008+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ac670b54-616c-4e5a-a55e-a6a9aaf24faa",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Before-After-Bridge",
            "slug": "before-after-bridge",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-8604-7188-883f-42370288ad05",
            "version": 1,
            "bodyDocId": null,
            "description": "Narrative structure: Paint the before, show the after, explain the bridge",
            "familyLabel": null,
            "categoryName": "Block",
            "categorySlug": "block"
          },
          "agent": "Storyteller",
          "layer": "slide",
          "agents": [
            "Storyteller"
          ],
          "matchId": "e70f156f-9bc3-4a35-a436-c0b5e102a54c",
          "evidence": "diagram/hub-spoke: Data sharing within and across companies",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 22:23:44.246037+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": "Before/after framing",
            "slug": "before-after-framing",
            "status": "active",
            "bestFor": "For turnaround / reform proposals",
            "canonId": "019dd9e1-528b-72ec-a563-e5dcb9410f67",
            "version": 1,
            "bodyDocId": "019dd9a1-80bf-72e9-980b-ccd1c0cd3488",
            "description": "You visualise two futures side by side: the trajectory the target is on\ntoday, and the trajectory under your proposed intervention. The reader\nhas to see the delta to feel the stakes.\n\nIt's the rhetorical cousin of the peer-gap — same visual grammar\n(comparison), but across **time** instead of across peers.",
            "familyLabel": null,
            "categoryName": null,
            "categorySlug": null
          },
          "agent": null,
          "layer": "slide",
          "agents": null,
          "matchId": "6870c689-486e-4e8f-80e6-3f5dd5e0cd31",
          "evidence": "paragraph/paragraph: Future with apheris: privacy preserving data ecosystems within one company or across several companies",
          "pageRefs": null,
          "priority": null,
          "whenToUse": "For turnaround / reform proposals",
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 22:23:44.286023+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 5,
          "whyItWorks": "- It **quantifies the opportunity cost** of inaction. \"Doing nothing\"\n  becomes a concrete, visible path, not an abstraction.\n- It **makes the Answer tangible**. The prescription isn't a paragraph;\n  it's a trajectory the reader can point at.\n- It **pre-empts the status-quo defence**. Management usually argues \"we\n  have a plan\". Your chart shows what their plan looks like vs. yours.\n- It **satisfies both the Architect** (math adds up) **and the Storyteller**\n  (emotional delta between two futures).",
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [
        {
          "matchId": "7b77877a-7f23-432d-9996-cec3de38d1db",
          "evidence": "The slide explicitly contrasts 'Today' (problem) with 'Future with apheris' (solution).",
          "framework": null,
          "confidence": 1,
          "extraction": {
            "at": "2026-05-02 16:39:19.008+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 5,
          "frameworkName": "before-after-framing"
        }
      ],
      "arcBeats": [
        {
          "to": 6,
          "arc": {
            "name": "The Sequoia Pitch",
            "slug": "sequoia-pitch",
            "status": "active",
            "bestFor": "Investor pitches, Series A/B, board presentations",
            "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask",
            "description": null,
            "familyLabel": null
          },
          "from": 5,
          "name": "Solution",
          "beatId": "201444eb-be38-4630-b168-2bf2329a64bb",
          "matchId": "daba4daa-30ff-4f81-b620-9b4ed969ef84",
          "beatType": {
            "name": "Solution",
            "slug": "sequoia-pitch-solution",
            "status": "active",
            "canonId": "019dd9b8-1fb1-71d9-a260-07738d7f9c2f",
            "version": 1,
            "description": null
          },
          "evidence": "The solution is presented on pages 5 and 6",
          "position": 1,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Turn",
            "slug": "turn",
            "status": "active",
            "canonId": "019dd9b8-0396-702b-ac2f-9901f8dd8b54",
            "version": 1,
            "description": "The pivot — solution proposed, catalyst introduced, decision made. Common (15/20 arcs) but not universal: Triple-take, AIDA, PAS, Voyage-return and Pixar substitute it with a strong reflection or development beat."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [
        {
          "to": 6,
          "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": "1e4a5966-f93b-4f67-85df-c0ed341ee8e9",
          "evidence": "The solution implies the cost of inaction",
          "position": 1,
          "objective": "The cost of inaction for companies not using Apheris",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:32:13.670787+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 6,
      "type": "resolution",
      "title": "The diagram uses a hub-and-spoke style architecture to show the interaction between the central AI platform and distributed data sources.",
      "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": 38,
        "componentCount": 4,
        "textChars": 391,
        "nDataPoints": 0,
        "notes": "The diagram uses a hub-and-spoke style architecture to show the interaction between the central AI platform and distributed data sources.",
        "elementsJson": [
          "headline_text",
          "action_title",
          "process_diagram",
          "callout_box"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 16:39:19.318+00",
          "seconds": 5.394,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5f69-752d-a9b5-1f420f49c37a/6",
        "deck": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a",
        "deckAnchor": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a#slide-6",
        "deckJson": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.1,
            "w": 0.6,
            "x": 0.2,
            "y": 0.85
          },
          "kind": "callout",
          "text": "Computations are executed locally – data never leaves the local environment and data privacy is preserved throughout the entire process",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": null,
            "subkind": {
              "name": "Primary callout",
              "slug": "primary",
              "status": "active",
              "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:19.318+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "a1c80a88-d0c3-4453-a9e6-599d9013a728",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.5,
            "w": 0.9,
            "x": 0.05,
            "y": 0.25
          },
          "kind": "diagram",
          "text": "Workflow diagram showing Data Analyst, Untrained/Trained models, Privacy Engine, Compute Engine, Privacy Firewall, and Distributed Data.",
          "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 16:39:19.318+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b51c3728-5746-4e38-8dea-c19318e9fad0",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.92,
            "x": 0.04,
            "y": 0.08
          },
          "kind": "title",
          "text": "apheris AI empowers companies to train AI models on distributed data while fully preserving data privacy",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Action title",
              "slug": "action-title",
              "status": "active",
              "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "action-title",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:19.318+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "8423c5aa-b0d7-4a7d-8be2-79bee371eda4",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.14,
            "x": 0.04,
            "y": 0.02
          },
          "kind": "title",
          "text": "Product workflow",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:19.318+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "37fe6fae-8e19-404c-8ff1-4df9a1c13100",
          "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": "fb8b314e-b56b-412d-91a1-b7bde94a882b",
          "evidence": "diagram/hub-spoke: Workflow diagram showing Data Analyst, Untrained/Trained models, Privacy Engine, Compute Engine, Privacy Firewall, and Distributed Data.",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 22:23:44.362859+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 6,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": "common",
          "narrativePurpose": null
        }
      ],
      "frameworks": [
        {
          "matchId": "4ddb07b1-e4ff-4520-9f47-1f4b226471e6",
          "evidence": "Centralized processing engines interacting with multiple distributed data nodes.",
          "framework": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-05-02 16:39:19.318+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 6,
          "frameworkName": "hub-spoke"
        }
      ],
      "arcBeats": [
        {
          "to": 6,
          "arc": {
            "name": "The Sequoia Pitch",
            "slug": "sequoia-pitch",
            "status": "active",
            "bestFor": "Investor pitches, Series A/B, board presentations",
            "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask",
            "description": null,
            "familyLabel": null
          },
          "from": 5,
          "name": "Solution",
          "beatId": "201444eb-be38-4630-b168-2bf2329a64bb",
          "matchId": "daba4daa-30ff-4f81-b620-9b4ed969ef84",
          "beatType": {
            "name": "Solution",
            "slug": "sequoia-pitch-solution",
            "status": "active",
            "canonId": "019dd9b8-1fb1-71d9-a260-07738d7f9c2f",
            "version": 1,
            "description": null
          },
          "evidence": "The solution is presented on pages 5 and 6",
          "position": 1,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Turn",
            "slug": "turn",
            "status": "active",
            "canonId": "019dd9b8-0396-702b-ac2f-9901f8dd8b54",
            "version": 1,
            "description": "The pivot — solution proposed, catalyst introduced, decision made. Common (15/20 arcs) but not universal: Triple-take, AIDA, PAS, Voyage-return and Pixar substitute it with a strong reflection or development beat."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [
        {
          "to": 6,
          "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": "1e4a5966-f93b-4f67-85df-c0ed341ee8e9",
          "evidence": "The solution implies the cost of inaction",
          "position": 1,
          "objective": "The cost of inaction for companies not using Apheris",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 21:32:13.670787+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 7,
      "type": "evidence",
      "title": "The slide uses a three-column layout with icons to highlight key business achievements.",
      "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": 51,
        "componentCount": 5,
        "textChars": 474,
        "nDataPoints": 0,
        "notes": "The slide uses a three-column layout with icons to highlight key business achievements.",
        "elementsJson": [
          "action_title",
          "icon_grid"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 16:39:21.741+00",
          "seconds": 7.745,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5f69-752d-a9b5-1f420f49c37a/7",
        "deck": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a",
        "deckAnchor": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a#slide-7",
        "deckJson": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.2,
            "w": 0.8,
            "x": 0.1,
            "y": 0.3
          },
          "kind": "image",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Icon grid",
              "slug": "icon-grid",
              "status": "active",
              "canonId": "019de52c-fdfe-749d-9990-1db465a3eed4",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "icon-grid",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:21.741+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "02d8a095-4a65-4825-9554-1c3fe3472280",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.3,
            "w": 0.28,
            "x": 0.67,
            "y": 0.35
          },
          "kind": "list",
          "text": "Multiple paid pilots and a massive pipeline. E.g., paid pilot for edge-based computations. Very strong pharma & chemistry pipeline.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:21.741+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ab92ae22-dc2a-4d42-92b6-ff48722602bf",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.3,
            "w": 0.28,
            "x": 0.05,
            "y": 0.35
          },
          "kind": "list",
          "text": "Closed deals with leading enterprises. In less than 1 year, we closed multiple year contracts with leading enterprises.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:21.741+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b5a6a7fc-0378-4971-b0b6-518636dbedc5",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.3,
            "w": 0.28,
            "x": 0.36,
            "y": 0.35
          },
          "kind": "list",
          "text": "Key privacy provider for COVID-19 apps. We develop core privacy technology for large contact tracing initiatives.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:21.741+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ed54053c-b672-4505-9fd9-d449eb441862",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.9,
            "x": 0.05,
            "y": 0.08
          },
          "kind": "title",
          "text": "Our biggest achievements: our technology already empowers R&D breakthroughs for the world's largest enterprises",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:21.741+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "34d5fac9-ea49-4db8-86e5-d82f659b0dc7",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "List presentation",
            "slug": "list-presentation",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1",
            "version": 1,
            "bodyDocId": null,
            "description": "Bulleted, numbered, or checklist enumerations.",
            "familyLabel": null,
            "categoryName": null,
            "categorySlug": null
          },
          "agent": null,
          "layer": "slide",
          "agents": null,
          "matchId": "300f37a7-96e3-4afc-8b80-6533c293ac91",
          "evidence": "list/bullet: Multiple paid pilots and a massive pipeline. E.g., paid pilot for edge-based computations. Very strong pharma & chemistry pipeline.",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.5,
          "extraction": {
            "at": "2026-07-16 22:23:44.441218+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": [],
      "arcBeats": [
        {
          "to": 7,
          "arc": {
            "name": "The Sequoia Pitch",
            "slug": "sequoia-pitch",
            "status": "active",
            "bestFor": "Investor pitches, Series A/B, board presentations",
            "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask",
            "description": null,
            "familyLabel": null
          },
          "from": 7,
          "name": "Traction",
          "beatId": "d2d76426-43f4-4281-8c54-8b678542231b",
          "matchId": "daba4daa-30ff-4f81-b620-9b4ed969ef84",
          "beatType": null,
          "evidence": "Traction is shown on page 7",
          "position": 2,
          "isPrimaryArc": true,
          "parentBeatType": null,
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [],
      "locked": true
    },
    {
      "page": 8,
      "type": "setup",
      "title": "The slide combines a use-of-funds statement with a forward-looking roadmap/timeline.",
      "function": "state_next_steps",
      "rawType": "use_of_funds",
      "block": null,
      "metadata": {
        "slideType": "use_of_funds",
        "slideTypeCanon": {
          "name": "Use of funds",
          "slug": "use_of_funds",
          "status": "active",
          "canonId": "019de52d-1045-737c-90e9-c79600f9e2c7",
          "version": 1,
          "description": null
        },
        "function": "state_next_steps",
        "functionCanon": {
          "name": "State next steps",
          "slug": "state_next_steps",
          "status": "active",
          "canonId": "019de52d-14ca-70ac-b534-971f458cdf29",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 39,
        "componentCount": 4,
        "textChars": 306,
        "nDataPoints": 1,
        "notes": "The slide combines a use-of-funds statement with a forward-looking roadmap/timeline.",
        "elementsJson": [
          "action_title",
          "bullet_list",
          "timeline_visual"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 16:39:19.666+00",
          "seconds": 5.422,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5f69-752d-a9b5-1f420f49c37a/8",
        "deck": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a",
        "deckAnchor": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a#slide-8",
        "deckJson": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a.json"
      },
      "components": [
        {
          "bbox": {
            "x": 0.046,
            "y": 0.65
          },
          "kind": "chart",
          "text": "Timeline from 2020 to 2022 showing Enterprise Deal, Seed Round, >10 enterprise customers, and Series A",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": "timeline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:19.666+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "7734dffa-6e53-44f0-807a-2b121d5af5b8",
          "parentComponentId": null
        },
        {
          "bbox": {
            "x": 0.046,
            "y": 298
          },
          "kind": "list",
          "text": "Hire world class team\nBuild out data ecosystems\nFlexible core product for enterprise",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:19.666+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "08b6af95-52b3-482c-9d8a-b6e1c5b30554",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "metric",
          "text": "Funding amount: EUR 2m",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Metric",
              "slug": "metric",
              "status": "active",
              "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d",
              "version": 1,
              "description": "Big-number or KPI value."
            },
            "tool": {
              "name": "Quantification",
              "slug": "quantification",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88",
              "version": 1,
              "bodyDocId": null,
              "description": "Translating a claim into numbers, charts, or tables.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-27 14:37:18+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd952-9d66-7639-a075-facb7c083cbf",
          "parentComponentId": null
        },
        {
          "bbox": {
            "x": 0.046,
            "y": 0.096
          },
          "kind": "title",
          "text": "We are raising EUR 2m to build our software core and empower R&D breakthroughs via data ecosystems",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Action title",
              "slug": "action-title",
              "status": "active",
              "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "action-title",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:19.666+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "614dbb0c-4f27-48b6-849d-8a0c95784597",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "0926a65b-82e9-411a-9b5a-95af732bbeed",
          "evidence": "Chronological representation of company milestones",
          "framework": null,
          "confidence": 1,
          "extraction": {
            "at": "2026-05-02 16:39:19.666+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 8,
          "frameworkName": "timeline"
        }
      ],
      "arcBeats": [
        {
          "to": 8,
          "arc": {
            "name": "The Sequoia Pitch",
            "slug": "sequoia-pitch",
            "status": "active",
            "bestFor": "Investor pitches, Series A/B, board presentations",
            "canonId": "019dd956-5e69-75a7-a0a4-895ac1bc0444",
            "version": 1,
            "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49",
            "structure": "Problem -> Solution -> Why Now -> Market Size -> Competition -> Product -> Business Model -> Team -> Financials -> The Ask",
            "description": null,
            "familyLabel": null
          },
          "from": 8,
          "name": "The Ask",
          "beatId": "69ba43cf-77ae-4ff8-b7a0-580440518436",
          "matchId": "daba4daa-30ff-4f81-b620-9b4ed969ef84",
          "beatType": {
            "name": "The Ask",
            "slug": "sequoia-pitch-the-ask",
            "status": "active",
            "canonId": "019dd9b8-24f3-72bf-940a-74d06fd9396b",
            "version": 1,
            "description": null
          },
          "evidence": "The ask is presented on page 8",
          "position": 3,
          "isPrimaryArc": true,
          "parentBeatType": {
            "name": "Resolution",
            "slug": "resolution",
            "status": "active",
            "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b",
            "version": 1,
            "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution."
          },
          "alignedBlockIds": null,
          "matchConfidence": 0.8
        }
      ],
      "loops": [],
      "locked": true
    },
    {
      "page": 9,
      "type": "setup",
      "function": "other",
      "rawType": "team_bio",
      "block": null,
      "metadata": {
        "slideType": "team_bio",
        "slideTypeCanon": {
          "name": "Team bio",
          "slug": "team_bio",
          "status": "active",
          "canonId": "019de52d-0a7d-7394-ae5b-037478e71f1e",
          "version": 1,
          "description": null
        },
        "function": "other",
        "functionCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-15e1-75bc-99dc-07732380e2ce",
          "version": 1,
          "description": null
        },
        "density": "dense",
        "densityScore": 58,
        "componentCount": 6,
        "textChars": 461,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": [
          "headline_text",
          "headshot",
          "logo_grid"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 16:39:28.997+00",
          "seconds": 14.563,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5f69-752d-a9b5-1f420f49c37a/9",
        "deck": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a",
        "deckAnchor": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a#slide-9",
        "deckJson": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.25,
            "w": 0.15,
            "x": 0.08,
            "y": 0.53
          },
          "kind": "image",
          "text": "Robin",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Headshot",
              "slug": "headshot",
              "status": "active",
              "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:28.997+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "35454223-7ffa-42cc-afe0-0292a4f3e5e5",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.25,
            "w": 0.15,
            "x": 0.08,
            "y": 0.275
          },
          "kind": "image",
          "text": "Michael",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Headshot",
              "slug": "headshot",
              "status": "active",
              "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:28.997+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "64fcee23-96c1-4f68-8a09-8a07d75879c7",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.1,
            "w": 0.9,
            "x": 0.05,
            "y": 0.8
          },
          "kind": "image",
          "text": "Logos of companies and universities",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Logo grid",
              "slug": "logo-grid",
              "status": "active",
              "canonId": "019de52c-fdd7-7409-93e5-81280a8ca215",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "logo-grid",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:28.997+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "a728661a-bd97-44a4-8182-229299d0712f",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.1,
            "w": 0.6,
            "x": 0.25,
            "y": 0.34
          },
          "kind": "paragraph",
          "text": "Michael, PhD CTO & Co-Founder: Michael studied Physics and Computer Science and is an expert in distributed computations. He built digital solutions with BCG & BCG DV.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:28.997+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "e09b2409-3a45-48bd-8e2c-2e6f7c9f4ead",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.1,
            "w": 0.6,
            "x": 0.25,
            "y": 0.58
          },
          "kind": "paragraph",
          "text": "Robin CEO & Co-Founder: Robin studied Medicine, Philosophy and Mathematics and is an expert in mathematical theories for data privacy.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:28.997+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "e5c7d4fe-bf51-4845-ac38-7be0c6f3352a",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.9,
            "x": 0.05,
            "y": 0.08
          },
          "kind": "title",
          "text": "We are a team of 10 leading experts at the intersection of data privacy, cryptography and biomedical data science",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:28.997+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "f25323c5-b573-4666-ab48-bdbca2eb5a11",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 10,
      "type": "setup",
      "function": "state_next_steps",
      "rawType": "closing_ask",
      "block": null,
      "metadata": {
        "slideType": "closing_ask",
        "slideTypeCanon": {
          "name": "Closing ask",
          "slug": "closing_ask",
          "status": "active",
          "canonId": "019de52d-0aa4-750f-8aa1-8d622dd99f5c",
          "version": 1,
          "description": null
        },
        "function": "state_next_steps",
        "functionCanon": {
          "name": "State next steps",
          "slug": "state_next_steps",
          "status": "active",
          "canonId": "019de52d-14ca-70ac-b534-971f458cdf29",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 44,
        "componentCount": 6,
        "textChars": 199,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": [
          "headline_text",
          "paragraph"
        ],
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 16:39:17.667+00",
          "seconds": 3.198,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019dd923-5f69-752d-a9b5-1f420f49c37a/10",
        "deck": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a",
        "deckAnchor": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a#slide-10",
        "deckJson": "/decks/019dd923-5f69-752d-a9b5-1f420f49c37a.json"
      },
      "components": [
        {
          "bbox": null,
          "kind": "callout",
          "text": "For more information please contact us!",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": {
              "name": "Visual emphasis",
              "slug": "visual-emphasis",
              "status": "active",
              "bestFor": null,
              "canonId": "019dd9e1-474b-736b-a8eb-a794dd88241c",
              "version": 1,
              "bodyDocId": null,
              "description": "Drawing the eye to one element above the rest of the slide.",
              "familyLabel": null
            },
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-04-27 14:37:19+00",
            "model": "or:google/gemini-3.1-flash-lite-preview",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019dd952-9d66-7639-a076-34e4405c6941",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.21,
            "w": 0.52,
            "x": 0.24,
            "y": 0.23
          },
          "kind": "image",
          "text": "apheris AI logo",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Logo",
              "slug": "logo",
              "status": "active",
              "canonId": "019de52c-fdaf-743d-94c4-d7c6a0e55302",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "logo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:17.667+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b370d440-6dd0-459e-b7f4-83b456ac59a9",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.78,
            "x": 0.11,
            "y": 0.9
          },
          "kind": "list",
          "text": "www.apheris.com | r.roehm@apheris.com | +49 176 5788 6328",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:17.667+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "4c6c7902-f108-4930-9b14-6cf919b81194",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.5,
            "x": 0.25,
            "y": 0.79
          },
          "kind": "paragraph",
          "text": "For more information please contact us!",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:17.667+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "dbc53bed-d5bc-4b6a-aecf-845327883c1a",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.38,
            "x": 0.31,
            "y": 0.5
          },
          "kind": "title",
          "text": "Inspired by Complexity\nDriven by Impact",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Action title",
              "slug": "action-title",
              "status": "active",
              "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "action-title",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 16:39:17.667+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "a566b90d-0438-42bc-9586-e3d62b18d315",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.21,
            "w": 0.4,
            "x": 0.36,
            "y": 0.23
          },
          "kind": "title",
          "text": "apheris 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 16:39:17.667+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "c24f57ed-c794-4fe4-8b2b-9c9a317f1656",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Slide recipe: Closing ask",
            "slug": "closing-ask-slide",
            "status": "active",
            "bestFor": null,
            "canonId": "019df269-295e-70bc-9ee8-baa90a49922d",
            "version": 1,
            "bodyDocId": "019df269-293a-7523-9bb5-2692a9047168",
            "description": "The last slide the reader sees. Treat it as a single design moment —",
            "familyLabel": "slide-recipe",
            "categoryName": "Slide",
            "categorySlug": "slide"
          },
          "agent": "designer",
          "layer": "slide",
          "agents": [
            "designer"
          ],
          "matchId": "7f47bff2-1f6e-45c3-a77a-85b6af671361",
          "evidence": "title/action-title: Inspired by Complexity, Driven by Impact",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 22:23:44.598633+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": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    }
  ],
  "arcBeats": [
    {
      "from": 4,
      "to": 4,
      "label": "Problem",
      "description": "The problem is clearly stated on page 4"
    },
    {
      "from": 5,
      "to": 6,
      "label": "Solution",
      "description": "The solution is presented on pages 5 and 6"
    },
    {
      "from": 7,
      "to": 7,
      "label": "Traction",
      "description": "Traction is shown on page 7"
    },
    {
      "from": 8,
      "to": 8,
      "label": "The Ask",
      "description": "The ask is presented on page 8"
    }
  ],
  "loops": [
    {
      "from": 4,
      "to": 4,
      "label": "Why Now",
      "description": "Why now is the right time for Apheris"
    },
    {
      "from": 5,
      "to": 6,
      "label": "Cost Of Inaction",
      "description": "The cost of inaction for companies not using Apheris"
    }
  ]
}