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  "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",
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  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
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  "orientation": "landscape",
  "aspectRatio": 1.776,
  "pageNumber": 10,
  "pageCount": 19,
  "prevPage": 9,
  "nextPage": 11,
  "slideType": "competitive_analysis",
  "function": "compare_peers",
  "density": "dense",
  "nDataPoints": 10,
  "notes": "Uses a contrast-pair framework to position the company against incumbents.",
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  "deckHref": "/decks/019dd923-5f69-752d-a9b5-28114679b90a",
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      "kind": "framework",
      "text": "One-Size-Fits-All vs. Trained Expert",
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      "text": "DEEPGRAM",
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      "kind": "list",
      "text": "Legacy & Big Tech Competitors vs. Deepgram",
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      "kind": "metric",
      "text": "accuracy: 95%",
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      "kind": "title",
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      "evidence": "Slides 9 and 10 discuss the limitations of current solutions.",
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      "parentBeatName": "Development",
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      "name": "Cost Of Inaction",
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      "bestFor": "Urgent budget requests, compliance, risk mitigation",
      "matchId": "4a4b82af-a7b7-43e8-9021-86c977541460",
      "evidence": "The deck implies that not using Deepgram's solution results in missed opportunities and inefficiencies.",
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