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  "docSlug": "D3bsnfoVgJ8Wl4k6xGlv",
  "documentTitle": "This San Francisco startup has raised $12 million for its speech-recognition technology that was born out of a 'dark matter' experiment. Here's the pitch deck it used.",
  "authorId": "Pitchdecks",
  "authorName": "Deepgram",
  "documentKindSlug": "pitchdeck",
  "documentKindLabel": "Pitch deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
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  "orientation": "landscape",
  "aspectRatio": 1.776,
  "pageNumber": 16,
  "pageCount": 19,
  "prevPage": 15,
  "nextPage": 17,
  "slideType": "solution",
  "function": "present_solution",
  "density": "balanced",
  "nDataPoints": 2,
  "notes": "The slide uses a feedback loop to show continuous improvement.",
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  "metadataConfidence": 1,
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  "slideHref": "/slides/019dd923-5f69-752d-a9b5-28114679b90a/16",
  "deckHref": "/decks/019dd923-5f69-752d-a9b5-28114679b90a",
  "deckJsonHref": "/decks/019dd923-5f69-752d-a9b5-28114679b90a.json",
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      "kind": "diagram",
      "text": "Customer Shares Raw Data -> Label In-House -> Train -> Serve API",
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      "kind": "metric",
      "text": "90% Accuracy DEEPGRAM Trained",
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      "text": "70% Accuracy DEEPGRAM General",
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      "text": "Accuracy: 90%",
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      "kind": "title",
      "text": "TRAINING WORKFLOW",
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  "metrics": [],
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  "frameworks": [
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      "matchId": "811813c3-4e99-4ccd-baab-75e69608bc36",
      "evidence": "The diagram shows a feedback loop where 'Want Improvements? Yes' leads back to the start of the process.",
      "confidence": 0.9
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  "arcBeats": [],
  "loops": [
    {
      "to": 19,
      "from": 4,
      "name": "Cost Of Inaction",
      "slug": "27-cost-of-inaction",
      "bestFor": "Urgent budget requests, compliance, risk mitigation",
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      "evidence": "The deck implies that not using Deepgram's solution results in missed opportunities and inefficiencies.",
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      "description": "Quantify what happens if the audience does nothing"
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