{
  "docId": "019dd923-5fec-763b-95d0-6c2b37f81466",
  "docSlug": "bi-9523b367be63361f",
  "documentTitle": "3T Biosciences 27-slide pitch deck to raise $40M Series A",
  "authorId": "Pitchdecks",
  "authorName": "3T Biosciences",
  "documentKindSlug": "pitchdeck",
  "documentKindLabel": "Pitch deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.6,
  "pageNumber": 23,
  "pageCount": 27,
  "prevPage": 22,
  "nextPage": 24,
  "slideType": "solution",
  "function": "present_solution",
  "density": "overcrowded",
  "nDataPoints": 1,
  "notes": "The slide uses a funnel diagram for the first process and a circular process diagram for the second.",
  "elementsJson": [
    "headline_text",
    "action_title",
    "funnel_chart",
    "process_diagram",
    "paragraph"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5fec-763b-95d0-6c2b37f81466/23",
  "deckHref": "/decks/019dd923-5fec-763b-95d0-6c2b37f81466",
  "deckJsonHref": "/decks/019dd923-5fec-763b-95d0-6c2b37f81466.json",
  "deckAnchorHref": "/decks/019dd923-5fec-763b-95d0-6c2b37f81466#slide-23",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "Synergistic Computational Predictive Models and Experimental Validation Generate the Most Specific and Potent Therapeutics",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-c0aa-76ce-98c2-1d0315eb8b64",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.52,
        "w": 0.45,
        "x": 0.52,
        "y": 0.22
      },
      "kind": "diagram",
      "text": "2-month wet lab cycle involving Target Binding, T Cell Activation, and TCR Engineering",
      "attrs": null,
      "subkind": "process",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "de6e4059-f013-4099-b334-003c6eb52b65",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.52,
        "w": 0.45,
        "x": 0.05,
        "y": 0.22
      },
      "kind": "diagram",
      "text": "Funnel showing: Responding Patients -> TCR Clonality -> TCR Sequence Clustering -> Biomarkers -> Functional Reactivity -> Target Characterization -> Most Prevalent & Immunogenic Targets",
      "attrs": null,
      "subkind": "pyramid",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "20308457-4daf-4459-a1a8-8535b3e8bb3f",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.15,
        "x": 0.68,
        "y": 0.68
      },
      "kind": "metric",
      "text": "92% Accuracy to Identify Activating Targets",
      "attrs": null,
      "subkind": "big-number",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "b8a440fa-4d2c-443b-b109-5c0e0b5df440",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Accuracy: 92%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-c0aa-76ce-98c2-2219e54410b2",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.12,
        "w": 0.92,
        "x": 0.04,
        "y": 0.78
      },
      "kind": "title",
      "text": "Synergistic Computational Predictive Models and Experimental Validation Generate the Most Specific and Potent Therapeutics",
      "attrs": null,
      "subkind": "action-title",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "ff47224d-ed66-4c69-903f-b60a8fe009e9",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.12,
        "w": 0.92,
        "x": 0.04,
        "y": 0.07
      },
      "kind": "title",
      "text": "3T Integrates AI/ML with Biology to Identify TCRs and Targets with Significant Clinical Potential",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "9251b951-bed4-47d4-b6e2-c89f570a3343",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Pyramid Principle",
      "slug": "pyramid-principle",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "bdfcd7fa-18d8-435f-9b9b-20c0fecbda70",
      "evidence": "diagram/pyramid: Funnel showing: Responding Patients -> TCR Clonality -> TCR Sequence Clustering -> Biomarkers -> Functional Reactivity -> Target Characterization -> Most Prevalent & Immunogenic Targets",
      "confidence": 0.7
    }
  ],
  "frameworks": [
    {
      "name": "pyramid",
      "slug": null,
      "matchId": "e33b1938-552d-4d30-a7af-f99253166d1e",
      "evidence": "Funnel diagram used to illustrate the filtering process of patient data to specific targets.",
      "confidence": 0.9
    }
  ],
  "arcBeats": [],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}