{
  "docId": "019dd923-5f69-752d-a9b7-0fa2959ba458",
  "docSlug": "MWtzJtwPqFsdZXxAqYjP",
  "documentTitle": "SpaceX investor Draper Associates backed futuristic data capture startup Cipher Skin in a $5 million funding round after seeing this pitch deck",
  "authorId": "Pitchdecks",
  "authorName": "Cipher Skin",
  "documentKindSlug": "pitchdeck",
  "documentKindLabel": "Pitch deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 14,
  "pageCount": 27,
  "prevPage": 13,
  "nextPage": 15,
  "slideType": "solution",
  "function": "present_solution",
  "density": "dense",
  "nDataPoints": 0,
  "notes": "The slide uses a timeline-based visualization to show continuous data collection.",
  "elementsJson": [
    "headline_text",
    "paragraph",
    "photo",
    "timeline_visual"
  ],
  "metadataConfidence": 0.95,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5f69-752d-a9b7-0fa2959ba458/14",
  "deckHref": "/decks/019dd923-5f69-752d-a9b7-0fa2959ba458",
  "deckJsonHref": "/decks/019dd923-5f69-752d-a9b7-0fa2959ba458.json",
  "deckAnchorHref": "/decks/019dd923-5f69-752d-a9b7-0fa2959ba458#slide-14",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "Multiple data points from Cipher Skin sensors, taken continuously and pegged to a common timeline, allow for the prediction of the next section of pipe to fail.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-9d6c-73a9-8590-189245bf02c8",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.3,
        "w": 0.85,
        "x": 0.11,
        "y": 0.6
      },
      "kind": "chart",
      "text": "Timeline of sensor data points (Temperature, Strain, Moisture, Vibration, Light)",
      "attrs": null,
      "subkind": "timeline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "472a250c-62a2-45ba-9bb3-8a343cba5d3a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.4,
        "x": 0.07,
        "y": 0.94
      },
      "kind": "disclaimer",
      "text": "Confidential - Do not duplicate or distribute without written permission from Cipher Skin",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f58e7aef-ca41-499e-8a68-c9744e52b929",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.6,
        "w": 0.55,
        "x": 0.45,
        "y": 0.1
      },
      "kind": "image",
      "text": null,
      "attrs": null,
      "subkind": "illustration",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "01a30d0c-b5d6-4715-979a-b68470248e64",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.12,
        "w": 0.35,
        "x": 0.11,
        "y": 0.25
      },
      "kind": "paragraph",
      "text": "There are hundreds of pipeline breaches every year, costing billions of dollars in maintenance and damages. What if you could detect them in real time and prevent them from happening?",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "1d301be7-b51b-4adc-b4ca-bca657b2e21a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.35,
        "x": 0.11,
        "y": 0.4
      },
      "kind": "paragraph",
      "text": "Multiple data points from Cipher Skin sensors, taken continuously and pegged to a common timeline, allow for the prediction of the next section of pipe to fail.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "1ecdfd1a-7541-47dc-9679-3a2d0f5c178e",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.06,
        "w": 0.35,
        "x": 0.11,
        "y": 0.09
      },
      "kind": "title",
      "text": "SAMPLE APPLICATIONS /// PIPELINE MONITORING",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f67acd49-ce77-45c2-bce3-df383d21cea9",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Problem-Agitate-Solve (PAS)",
      "slug": "problem-agitate-solve-pas",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "35a8c393-15b3-40d7-9772-3d9bdf18e423",
      "evidence": "The slide presents a problem (pipeline breaches), agitates it (costly and frequent), and offers a solution (Cipher Skin's sensor technology).",
      "confidence": 0.6
    }
  ],
  "frameworks": [
    {
      "name": "timeline",
      "slug": null,
      "matchId": "174365df-b3d5-4935-a1a9-ea22fbeb3909",
      "evidence": "The slide uses a chronological axis to illustrate continuous data collection.",
      "confidence": 0.9
    }
  ],
  "arcBeats": [],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}