{
  "docId": "019de071-805e-75da-a9c3-e9573cb6e94f",
  "docSlug": "f179c2894ff7ef65a3c6d24dd4bec442",
  "documentTitle": "Exscientia | IPO Presentation Deck | 60 slides",
  "authorId": "exscientia",
  "authorName": "Exscientia",
  "documentKindSlug": "pitchdeck",
  "documentKindLabel": "Pitch deck",
  "sourceTypeSlug": "investment_bank",
  "sourceTypeLabel": "Investment bank",
  "presentationDate": "2021-09-01 00:00:00",
  "orientation": "landscape",
  "aspectRatio": 1.7893755,
  "pageNumber": 57,
  "pageCount": 60,
  "prevPage": 56,
  "nextPage": 58,
  "slideType": "solution",
  "function": "present_solution",
  "density": "dense",
  "nDataPoints": 0,
  "notes": "The image shows a molecular binding site visualization with a legend for Apolar, Acceptor, and Donor regions.",
  "elementsJson": null,
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019de071-805e-75da-a9c3-e9573cb6e94f/57",
  "deckHref": "/decks/019de071-805e-75da-a9c3-e9573cb6e94f",
  "deckJsonHref": "/decks/019de071-805e-75da-a9c3-e9573cb6e94f.json",
  "deckAnchorHref": "/decks/019de071-805e-75da-a9c3-e9573cb6e94f#slide-57",
  "components": [
    {
      "bbox": {
        "h": 0.1,
        "w": 0.45,
        "x": 0.03,
        "y": 0.24
      },
      "kind": "callout",
      "text": "MD Ops Platform provides access to best-in-class physics-based algorithms",
      "attrs": null,
      "subkind": "primary",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "870f110c-7013-4233-8eb5-36c8d326b9bc",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.5,
        "w": 0.45,
        "x": 0.5,
        "y": 0.25
      },
      "kind": "image",
      "text": "Molecular binding site visualization",
      "attrs": null,
      "subkind": "illustration",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "8156b955-2441-4aa5-9a57-763b6f7f8114",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.3,
        "x": 0.55,
        "y": 0.85
      },
      "kind": "legend",
      "text": "Apolar (yellow), Acceptor (red), Donor (blue)",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "1c33cc6c-cc24-42b4-8a67-721785816740",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.45,
        "w": 0.45,
        "x": 0.03,
        "y": 0.35
      },
      "kind": "list",
      "text": "Simulate binding site movements and integrate with Hotspots for automated definition\nUsing free-energy perturbation to predict affinity\nExtends Exscientia approach onto complex dynamic targets and into novel chemical space\nRecent candidates delivered using physics-based constraints in allosteric site",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "879ba17e-9598-4cdf-bf69-3e9c15e5c3a9",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.9,
        "x": 0.03,
        "y": 0.13
      },
      "kind": "title",
      "text": "Incorporate protein flexibility and accurate potency prediction using MD-Ops",
      "attrs": null,
      "subkind": "action-title",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "59dcdd14-9a88-4c8a-9871-2057de8add72",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.4,
        "x": 0.03,
        "y": 0.05
      },
      "kind": "title",
      "text": "Physics-based predictive modelling",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "a83c3255-f53a-4ca8-b6e0-cce1d64f941c",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 60,
      "from": 4,
      "beatId": "5dda98c6-c560-4b21-aa1c-95b617a27a20",
      "arcName": "The Sequoia Pitch",
      "arcSlug": "sequoia-pitch",
      "beatName": "Solution",
      "beatSlug": "sequoia-pitch-solution",
      "evidence": "The deck presents a comprehensive solution throughout pages 4-60.",
      "position": 1,
      "confidence": 0.8,
      "parentBeatName": "Turn",
      "parentBeatSlug": "turn"
    }
  ],
  "loops": [
    {
      "to": 60,
      "from": 4,
      "name": "Golden Circle",
      "slug": "11-golden-circle",
      "bestFor": "Visionary leadership, brand positioning, mission statements",
      "matchId": "3b6b60bf-18b7-4458-bffa-eba1b1ca0583",
      "evidence": "The deck presents a comprehensive loop on the golden circle of problem-solution-benefit.",
      "position": 1,
      "objective": "Explain how Exscientia's AI-driven platform can solve the problem of inefficient drug discovery.",
      "structure": "The Why (Belief) -> The How (Process) -> The What (Result)",
      "confidence": 0.7,
      "description": "Invert the typical pitch by starting with why you exist, rather than what you do"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}