{
  "docId": "019de074-e81b-753e-9153-de7ee222684a",
  "docSlug": "eb349ec8590aecb3f4d8a8e322d8bfa8",
  "documentTitle": "Exscientia | Investor Presentation Deck | 45 slides",
  "authorId": "exscientia",
  "authorName": "Exscientia",
  "documentKindSlug": "conference-presentation",
  "documentKindLabel": "Conference presentation",
  "sourceTypeSlug": "investor_relations",
  "sourceTypeLabel": "Investor relations",
  "presentationDate": "2023-05-01 00:00:00",
  "orientation": "landscape",
  "aspectRatio": 1.7777778,
  "pageNumber": 12,
  "pageCount": 45,
  "prevPage": 11,
  "nextPage": 13,
  "slideType": "propose_solution",
  "function": "present_solution",
  "density": "balanced",
  "nDataPoints": 1,
  "notes": "The diagram shows a multi-stage pipeline: Data Input -> Model Selection -> Generative Design -> Molecule Generation -> Active Learning -> Experimental Feedback.",
  "elementsJson": null,
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019de074-e81b-753e-9153-de7ee222684a/12",
  "deckHref": "/decks/019de074-e81b-753e-9153-de7ee222684a",
  "deckJsonHref": "/decks/019de074-e81b-753e-9153-de7ee222684a.json",
  "deckAnchorHref": "/decks/019de074-e81b-753e-9153-de7ee222684a#slide-12",
  "components": [
    {
      "bbox": {
        "h": 0.55,
        "w": 0.9,
        "x": 0.05,
        "y": 0.22
      },
      "kind": "diagram",
      "text": "Flowchart from data inputs to experimental feedback",
      "attrs": null,
      "subkind": "process",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "a3a4176c-eb00-4ae6-b77d-1f76150957f8",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.5,
        "x": 0.25,
        "y": 0.85
      },
      "kind": "list",
      "text": "9,000 model endpoints, updated automatically on new data arrival\nAutomatic selection of best model architecture\nAutomatic trigger of design workflows",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "9fc011af-b012-4dac-b006-6673345460a6",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.85,
        "x": 0.07,
        "y": 0.13
      },
      "kind": "title",
      "text": "Our AI design platform can optimise complex drugs from diverse starting data",
      "attrs": null,
      "subkind": "action-title",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "dd40c14c-03b0-412e-b018-b5615a99ae50",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.35,
        "x": 0.07,
        "y": 0.06
      },
      "kind": "title",
      "text": "Data and model agnostic",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "d2a3650a-225d-4688-8728-52ced08a07ec",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [
    {
      "name": "process",
      "slug": null,
      "matchId": "ef10ec9e-5f0d-46a5-8c89-269234ef673e",
      "evidence": "The slide uses a flow-based diagram to explain the drug discovery pipeline.",
      "confidence": 0.8
    }
  ],
  "arcBeats": [],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}