{
 "name": "Who takes materials property and experimental data, and how",
 "title": "Who takes materials property and experimental data, and how",
 "kind": "terms-board",
 "url": "https://sellmaterialdatatoai.com/datasets/material-data-buyers/",
 "csv": "https://sellmaterialdatatoai.com/datasets/material-data-buyers.csv",
 "markdown": "https://sellmaterialdatatoai.com/datasets/material-data-buyers/index.md",
 "computed_at": "2026-10-28",
 "license": "https://sellmaterialdatatoai.com/terms",
 "headline": "2 of the 6 organisations whose pages we read license or partner for materials data from the companies and labs that hold it, read 28 October 2026.",
 "quotes": [
  "2 of the 6 organisations whose pages we read license or partner for materials data from the companies and labs that hold it, read 28 October 2026.",
  "How it comes by the data, by organisation: generates its own experimental or computed data 3 of 6, licenses or partners for data from the companies and labs that hold it 2 of 6, licenses a database it curates or owns 1 of 6 (6 organisations, read 28 October 2026).",
  "Data it names, by organisation: experimental or test data on materials 4 of 6, not stated 1 of 6, crystal, molecular or structural data 1 of 6 (6 organisations, read 28 October 2026).",
  "Its own words for the data, by organisation: stated 4 of 6, not stated 2 of 6 (6 organisations, read 28 October 2026).",
  "What a holder does first, by organisation: not stated 4 of 6, stated 2 of 6 (6 organisations, read 28 October 2026)."
 ],
 "citation": "\"Who takes materials property and experimental data, and how\", updated 2026-10-28, https://sellmaterialdatatoai.com/datasets/material-data-buyers/.",
 "national": {
  "n": 6,
  "unit": "organisations",
  "documents": 7,
  "published_sources": 6,
  "named_sources": 19
 },
 "board": {
  "type": "clauses",
  "noun": {
   "one": "organisation",
   "many": "organisations"
  },
  "document": {
   "one": "page",
   "many": "pages"
  },
  "fields": [
   {
    "id": "route",
    "label": "How it comes by the data",
    "counts": {
     "pays-holders": 2,
     "licenses-own-corpus": 1,
     "generates-own": 3
    },
    "values": [
     {
      "value": "pays-holders",
      "text": "licenses or partners for data from the companies and labs that hold it"
     },
     {
      "value": "listing-venue",
      "text": "runs a venue where holders list data for buyers"
     },
     {
      "value": "licenses-own-corpus",
      "text": "licenses a database it curates or owns"
     },
     {
      "value": "generates-own",
      "text": "generates its own experimental or computed data"
     }
    ]
   },
   {
    "id": "data_kind",
    "label": "Data it names",
    "counts": {
     "experimental-materials": 4,
     "structures": 1,
     "not-stated": 1
    },
    "values": [
     {
      "value": "experimental-materials",
      "text": "experimental or test data on materials"
     },
     {
      "value": "structures",
      "text": "crystal, molecular or structural data"
     },
     {
      "value": "formulations",
      "text": "formulations, recipes or process data"
     },
     {
      "value": "any-kind",
      "text": "data of many kinds, none singled out"
     }
    ]
   },
   {
    "id": "named_data",
    "label": "Its own words for the data",
    "counts": {
     "stated": 4,
     "not-stated": 2
    },
    "values": [
     {
      "value": "stated",
      "text": "stated"
     }
    ],
    "clause": true
   },
   {
    "id": "first_step",
    "label": "What a holder does first",
    "counts": {
     "stated": 2,
     "not-stated": 4
    },
    "values": [
     {
      "value": "stated",
      "text": "stated"
     }
    ],
    "clause": true
   }
  ],
  "lead": {
   "type": "share",
   "field": "route",
   "value": "pays-holders",
   "n": 2,
   "of": 6,
   "label": "Take data from the companies and labs that hold it"
  },
  "vendors": [
   {
    "name": "83 Sciences",
    "answers": {
     "route": {
      "value": "pays-holders",
      "text": "licenses or partners for data from the companies and labs that hold it",
      "documents": [
       {
        "document": "83 Sciences company page",
        "url": "https://www.ycombinator.com/companies/83-sciences",
        "value": "pays-holders",
        "quote": "We train on that unpublished data through partnerships with labs across the country"
       },
       {
        "document": "Head of Data Partnerships job post",
        "url": "https://www.ycombinator.com/companies/83-sciences/jobs/NR8uCdC-head-of-data-partnerships",
        "value": "pays-holders",
        "quote": "Our ambition is to own or license the world’s experimental data and use it to build better models for science."
       }
      ]
     },
     "data_kind": {
      "value": "experimental-materials",
      "text": "experimental or test data on materials",
      "documents": [
       {
        "document": "83 Sciences company page",
        "url": "https://www.ycombinator.com/companies/83-sciences",
        "value": "experimental-materials",
        "quote": "The materials performance that matters to industry can only be measured in real experiments, but >85% of experimental research is never published."
       },
       {
        "document": "Head of Data Partnerships job post",
        "url": "https://www.ycombinator.com/companies/83-sciences/jobs/NR8uCdC-head-of-data-partnerships",
        "value": "experimental-materials",
        "quote": "Almost 90% of experimental data is discarded, losing over $100B in R&D value every year."
       }
      ]
     },
     "named_data": {
      "value": "stated",
      "text": "83 Sciences uses AI to mine discarded experimental data and drive scientific…",
      "documents": [
       {
        "document": "83 Sciences company page",
        "url": "https://www.ycombinator.com/companies/83-sciences",
        "value": "stated",
        "quote": "83 Sciences uses AI to mine discarded experimental data and drive scientific breakthroughs."
       },
       {
        "document": "Head of Data Partnerships job post",
        "url": "https://www.ycombinator.com/companies/83-sciences/jobs/NR8uCdC-head-of-data-partnerships",
        "value": "stated",
        "quote": "Our ambition is to own or license the world’s experimental data and use it to build better models for science."
       }
      ]
     },
     "first_step": {
      "value": "stated",
      "text": "From there, you'll expand into industry R&D and other major sources of proprietary…",
      "documents": [
       {
        "document": "83 Sciences company page",
        "url": "https://www.ycombinator.com/companies/83-sciences",
        "value": "not-stated",
        "quote": ""
       },
       {
        "document": "Head of Data Partnerships job post",
        "url": "https://www.ycombinator.com/companies/83-sciences/jobs/NR8uCdC-head-of-data-partnerships",
        "value": "stated",
        "quote": "From there, you'll expand into industry R&D and other major sources of proprietary experimental data."
       }
      ]
     }
    }
   },
   {
    "name": "CCDC",
    "answers": {
     "route": {
      "value": "licenses-own-corpus",
      "text": "licenses a database it curates or owns",
      "documents": [
       {
        "document": "CCDC home page",
        "url": "https://www.ccdc.cam.ac.uk/",
        "value": "licenses-own-corpus",
        "quote": "Use the world's largest database of curated crystal structures to advance your research."
       }
      ]
     },
     "data_kind": {
      "value": "structures",
      "text": "crystal, molecular or structural data",
      "documents": [
       {
        "document": "CCDC home page",
        "url": "https://www.ccdc.cam.ac.uk/",
        "value": "structures",
        "quote": "Upload your data for inclusion in the Cambridge Structural Database or the Inorganic Crystal Structure Database."
       }
      ]
     },
     "named_data": {
      "value": "stated",
      "text": "Upload your data for inclusion in the Cambridge Structural Database or the Inorganic…",
      "documents": [
       {
        "document": "CCDC home page",
        "url": "https://www.ccdc.cam.ac.uk/",
        "value": "stated",
        "quote": "Upload your data for inclusion in the Cambridge Structural Database or the Inorganic Crystal Structure Database."
       }
      ]
     },
     "first_step": {
      "value": "stated",
      "text": "Upload your data for inclusion in the Cambridge Structural Database or the Inorganic…",
      "documents": [
       {
        "document": "CCDC home page",
        "url": "https://www.ccdc.cam.ac.uk/",
        "value": "stated",
        "quote": "Upload your data for inclusion in the Cambridge Structural Database or the Inorganic Crystal Structure Database."
       }
      ]
     }
    }
   },
   {
    "name": "CuspAI",
    "answers": {
     "route": {
      "value": "pays-holders",
      "text": "licenses or partners for data from the companies and labs that hold it",
      "documents": [
       {
        "document": "CuspAI home page",
        "url": "https://www.cusp.ai/",
        "value": "pays-holders",
        "quote": "Through its AI Materials Foundry - a global network of over 45 partners, including NVIDIA and Meta - the company is accelerating breakthrough discoveries in semiconductors, energy, and climate."
       }
      ]
     },
     "data_kind": {
      "value": "not-stated",
      "text": "not stated",
      "documents": [
       {
        "document": "CuspAI home page",
        "url": "https://www.cusp.ai/",
        "value": "not-stated",
        "quote": ""
       }
      ]
     },
     "named_data": {
      "value": "not-stated",
      "text": "not stated",
      "documents": [
       {
        "document": "CuspAI home page",
        "url": "https://www.cusp.ai/",
        "value": "not-stated",
        "quote": ""
       }
      ]
     },
     "first_step": {
      "value": "not-stated",
      "text": "not stated",
      "documents": [
       {
        "document": "CuspAI home page",
        "url": "https://www.cusp.ai/",
        "value": "not-stated",
        "quote": ""
       }
      ]
     }
    }
   },
   {
    "name": "Materials Data Foundry (NUS and University of Toronto)",
    "answers": {
     "route": {
      "value": "generates-own",
      "text": "generates its own experimental or computed data",
      "documents": [
       {
        "document": "Materials Data Foundry launch release",
        "url": "https://content.presspage.com/uploads/2580/6609582b-6231-47c2-9a06-ef76d471fcd6/materialsdatafoundry.pdf",
        "value": "generates-own",
        "quote": "National University of Singapore and University of Toronto launch the Materials Data Foundry to fast-track discovery of functional materials with AI and robotics"
       }
      ]
     },
     "data_kind": {
      "value": "experimental-materials",
      "text": "experimental or test data on materials",
      "documents": [
       {
        "document": "Materials Data Foundry launch release",
        "url": "https://content.presspage.com/uploads/2580/6609582b-6231-47c2-9a06-ef76d471fcd6/materialsdatafoundry.pdf",
        "value": "experimental-materials",
        "quote": "This data will power AI models to accelerate advances in electronics, energy and infrastructure ."
       }
      ]
     },
     "named_data": {
      "value": "stated",
      "text": "This data will power AI models to accelerate advances in electronics, energy and…",
      "documents": [
       {
        "document": "Materials Data Foundry launch release",
        "url": "https://content.presspage.com/uploads/2580/6609582b-6231-47c2-9a06-ef76d471fcd6/materialsdatafoundry.pdf",
        "value": "stated",
        "quote": "This data will power AI models to accelerate advances in electronics, energy and infrastructure ."
       }
      ]
     },
     "first_step": {
      "value": "not-stated",
      "text": "not stated",
      "documents": [
       {
        "document": "Materials Data Foundry launch release",
        "url": "https://content.presspage.com/uploads/2580/6609582b-6231-47c2-9a06-ef76d471fcd6/materialsdatafoundry.pdf",
        "value": "not-stated",
        "quote": ""
       }
      ]
     }
    }
   },
   {
    "name": "Periodic Labs",
    "answers": {
     "route": {
      "value": "generates-own",
      "text": "generates its own experimental or computed data",
      "documents": [
       {
        "document": "Periodic Labs home page",
        "url": "https://www.periodic.com/",
        "value": "generates-own",
        "quote": "Periodic Labs is an AI research and deployment company creating models and autonomous labs to accelerate science."
       }
      ]
     },
     "data_kind": {
      "value": "experimental-materials",
      "text": "experimental or test data on materials",
      "documents": [
       {
        "document": "Periodic Labs home page",
        "url": "https://www.periodic.com/",
        "value": "experimental-materials",
        "quote": "They provide huge amounts of high-quality data (each experiment can produce GBs of data!) that exists nowhere else."
       }
      ]
     },
     "named_data": {
      "value": "stated",
      "text": "They provide huge amounts of high-quality data (each experiment can produce GBs of data!)…",
      "documents": [
       {
        "document": "Periodic Labs home page",
        "url": "https://www.periodic.com/",
        "value": "stated",
        "quote": "They provide huge amounts of high-quality data (each experiment can produce GBs of data!) that exists nowhere else."
       }
      ]
     },
     "first_step": {
      "value": "not-stated",
      "text": "not stated",
      "documents": [
       {
        "document": "Periodic Labs home page",
        "url": "https://www.periodic.com/",
        "value": "not-stated",
        "quote": ""
       }
      ]
     }
    }
   },
   {
    "name": "Radical AI",
    "answers": {
     "route": {
      "value": "generates-own",
      "text": "generates its own experimental or computed data",
      "documents": [
       {
        "document": "Radical AI home page",
        "url": "https://www.radical-ai.com/",
        "value": "generates-own",
        "quote": "Scientists input material performance goals, then AI-generated experiments go directly to the self-driving lab, which continues refining results until it meets those goals."
       }
      ]
     },
     "data_kind": {
      "value": "experimental-materials",
      "text": "experimental or test data on materials",
      "documents": [
       {
        "document": "Radical AI home page",
        "url": "https://www.radical-ai.com/",
        "value": "experimental-materials",
        "quote": "Scientists input material performance goals, then AI-generated experiments go directly to the self-driving lab"
       }
      ]
     },
     "named_data": {
      "value": "not-stated",
      "text": "not stated",
      "documents": [
       {
        "document": "Radical AI home page",
        "url": "https://www.radical-ai.com/",
        "value": "not-stated",
        "quote": ""
       }
      ]
     },
     "first_step": {
      "value": "not-stated",
      "text": "not stated",
      "documents": [
       {
        "document": "Radical AI home page",
        "url": "https://www.radical-ai.com/",
        "value": "not-stated",
        "quote": ""
       }
      ]
     }
    }
   }
  ]
 },
 "subject_kind": "organisation",
 "rows": [
  {
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   "url": "https://www.ycombinator.com/companies/83-sciences",
   "document": "83 Sciences company page",
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   "answer": "pays-holders",
   "answer_text": "licenses or partners for data from the companies and labs that hold it",
   "status": "stated",
   "retrieved_at": "2026-10-28",
   "quote": "We train on that unpublished data through partnerships with labs across the country",
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   "quote": "The materials performance that matters to industry can only be measured in real experiments, but >85% of experimental research is never published.",
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   "answer": "stated",
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   "answer": "experimental-materials",
   "answer_text": "experimental or test data on materials",
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   "retrieved_at": "2026-10-28",
   "quote": "Almost 90% of experimental data is discarded, losing over $100B in R&D value every year.",
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   "retrieved_at": "2026-10-28",
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   "quote": "From there, you'll expand into industry R&D and other major sources of proprietary experimental data.",
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   "answer_text": "Upload your data for inclusion in the Cambridge Structural Database or the Inorganic…",
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  {
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   "quote": "Upload your data for inclusion in the Cambridge Structural Database or the Inorganic Crystal Structure Database.",
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   "retrieved_at": "2026-10-28",
   "quote": "Through its AI Materials Foundry - a global network of over 45 partners, including NVIDIA and Meta - the company is accelerating breakthrough discoveries in semiconductors, energy, and climate.",
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   "answer": "not-stated",
   "answer_text": "not stated",
   "status": "not-stated",
   "retrieved_at": "2026-10-28",
   "quote": "The page is silent here; it was read in full on 2026-10-28, 2,773 characters long.",
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   "question": "first_step",
   "answer": "not-stated",
   "answer_text": "not stated",
   "status": "not-stated",
   "retrieved_at": "2026-10-28",
   "quote": "The page is silent here; it was read in full on 2026-10-28, 2,773 characters long.",
   "text_sha256": "6635adfa75c8410934100e7379541203f10bde1ab68eabf1916c7e74fd99d1a3"
  },
  {
   "subject": "Materials Data Foundry (NUS and University of Toronto)",
   "url": "https://content.presspage.com/uploads/2580/6609582b-6231-47c2-9a06-ef76d471fcd6/materialsdatafoundry.pdf",
   "document": "Materials Data Foundry launch release",
   "question": "route",
   "answer": "generates-own",
   "answer_text": "generates its own experimental or computed data",
   "status": "stated",
   "retrieved_at": "2026-10-28",
   "quote": "National University of Singapore and University of Toronto launch the Materials Data Foundry to fast-track discovery of functional materials with AI and robotics",
   "text_sha256": "8bf2ccc4c4f36f1cd0249264eecdbce828e53c19e7a0ac76e59d64633879950b"
  },
  {
   "subject": "Materials Data Foundry (NUS and University of Toronto)",
   "url": "https://content.presspage.com/uploads/2580/6609582b-6231-47c2-9a06-ef76d471fcd6/materialsdatafoundry.pdf",
   "document": "Materials Data Foundry launch release",
   "question": "data_kind",
   "answer": "experimental-materials",
   "answer_text": "experimental or test data on materials",
   "status": "stated",
   "retrieved_at": "2026-10-28",
   "quote": "This data will power AI models to accelerate advances in electronics, energy and infrastructure .",
   "text_sha256": "8bf2ccc4c4f36f1cd0249264eecdbce828e53c19e7a0ac76e59d64633879950b"
  },
  {
   "subject": "Materials Data Foundry (NUS and University of Toronto)",
   "url": "https://content.presspage.com/uploads/2580/6609582b-6231-47c2-9a06-ef76d471fcd6/materialsdatafoundry.pdf",
   "document": "Materials Data Foundry launch release",
   "question": "named_data",
   "answer": "stated",
   "answer_text": "This data will power AI models to accelerate advances in electronics, energy and…",
   "status": "stated",
   "retrieved_at": "2026-10-28",
   "quote": "This data will power AI models to accelerate advances in electronics, energy and infrastructure .",
   "text_sha256": "8bf2ccc4c4f36f1cd0249264eecdbce828e53c19e7a0ac76e59d64633879950b"
  },
  {
   "subject": "Materials Data Foundry (NUS and University of Toronto)",
   "url": "https://content.presspage.com/uploads/2580/6609582b-6231-47c2-9a06-ef76d471fcd6/materialsdatafoundry.pdf",
   "document": "Materials Data Foundry launch release",
   "question": "first_step",
   "answer": "not-stated",
   "answer_text": "not stated",
   "status": "not-stated",
   "retrieved_at": "2026-10-28",
   "quote": "The page is silent here; it was read in full on 2026-10-28, 10,004 characters long.",
   "text_sha256": "8bf2ccc4c4f36f1cd0249264eecdbce828e53c19e7a0ac76e59d64633879950b"
  },
  {
   "subject": "Periodic Labs",
   "url": "https://www.periodic.com/",
   "document": "Periodic Labs home page",
   "question": "route",
   "answer": "generates-own",
   "answer_text": "generates its own experimental or computed data",
   "status": "stated",
   "retrieved_at": "2026-10-28",
   "quote": "Periodic Labs is an AI research and deployment company creating models and autonomous labs to accelerate science.",
   "text_sha256": "3733ccf38281afc72c1adaec0d62a52314c387e3811ff4ca8eb90b13ce46d37b"
  },
  {
   "subject": "Periodic Labs",
   "url": "https://www.periodic.com/",
   "document": "Periodic Labs home page",
   "question": "data_kind",
   "answer": "experimental-materials",
   "answer_text": "experimental or test data on materials",
   "status": "stated",
   "retrieved_at": "2026-10-28",
   "quote": "They provide huge amounts of high-quality data (each experiment can produce GBs of data!) that exists nowhere else.",
   "text_sha256": "3733ccf38281afc72c1adaec0d62a52314c387e3811ff4ca8eb90b13ce46d37b"
  },
  {
   "subject": "Periodic Labs",
   "url": "https://www.periodic.com/",
   "document": "Periodic Labs home page",
   "question": "named_data",
   "answer": "stated",
   "answer_text": "They provide huge amounts of high-quality data (each experiment can produce GBs of data!)…",
   "status": "stated",
   "retrieved_at": "2026-10-28",
   "quote": "They provide huge amounts of high-quality data (each experiment can produce GBs of data!) that exists nowhere else.",
   "text_sha256": "3733ccf38281afc72c1adaec0d62a52314c387e3811ff4ca8eb90b13ce46d37b"
  },
  {
   "subject": "Periodic Labs",
   "url": "https://www.periodic.com/",
   "document": "Periodic Labs home page",
   "question": "first_step",
   "answer": "not-stated",
   "answer_text": "not stated",
   "status": "not-stated",
   "retrieved_at": "2026-10-28",
   "quote": "The page is silent here; it was read in full on 2026-10-28, 4,196 characters long.",
   "text_sha256": "3733ccf38281afc72c1adaec0d62a52314c387e3811ff4ca8eb90b13ce46d37b"
  },
  {
   "subject": "Radical AI",
   "url": "https://www.radical-ai.com/",
   "document": "Radical AI home page",
   "question": "route",
   "answer": "generates-own",
   "answer_text": "generates its own experimental or computed data",
   "status": "stated",
   "retrieved_at": "2026-10-28",
   "quote": "Scientists input material performance goals, then AI-generated experiments go directly to the self-driving lab, which continues refining results until it meets those goals.",
   "text_sha256": "025ecbd13871b96541999e7696d564b7e2fb135c855876c12ea48702abcbd65a"
  },
  {
   "subject": "Radical AI",
   "url": "https://www.radical-ai.com/",
   "document": "Radical AI home page",
   "question": "data_kind",
   "answer": "experimental-materials",
   "answer_text": "experimental or test data on materials",
   "status": "stated",
   "retrieved_at": "2026-10-28",
   "quote": "Scientists input material performance goals, then AI-generated experiments go directly to the self-driving lab",
   "text_sha256": "025ecbd13871b96541999e7696d564b7e2fb135c855876c12ea48702abcbd65a"
  },
  {
   "subject": "Radical AI",
   "url": "https://www.radical-ai.com/",
   "document": "Radical AI home page",
   "question": "named_data",
   "answer": "not-stated",
   "answer_text": "not stated",
   "status": "not-stated",
   "retrieved_at": "2026-10-28",
   "quote": "The page is silent here; it was read in full on 2026-10-28, 1,907 characters long.",
   "text_sha256": "025ecbd13871b96541999e7696d564b7e2fb135c855876c12ea48702abcbd65a"
  },
  {
   "subject": "Radical AI",
   "url": "https://www.radical-ai.com/",
   "document": "Radical AI home page",
   "question": "first_step",
   "answer": "not-stated",
   "answer_text": "not stated",
   "status": "not-stated",
   "retrieved_at": "2026-10-28",
   "quote": "The page is silent here; it was read in full on 2026-10-28, 1,907 characters long.",
   "text_sha256": "025ecbd13871b96541999e7696d564b7e2fb135c855876c12ea48702abcbd65a"
  }
 ],
 "sources": [
  {
   "url": "https://www.ycombinator.com/companies/83-sciences",
   "label": "83 Sciences, 83 Sciences: AI-native materials discovery powered by unpublished experimental data | Y Combinator",
   "license": "cited for reporting; the publisher's own partner, data provider, licensing and company pages",
   "class": "primary-provider-own-site",
   "status": "read"
  },
  {
   "url": "https://www.ycombinator.com/companies/83-sciences/jobs/NR8uCdC-head-of-data-partnerships",
   "label": "83 Sciences, Head of Data Partnerships at 83 Sciences | Y Combinator",
   "license": "cited for reporting; the publisher's own partner, data provider, licensing and company pages",
   "class": "primary-provider-own-site",
   "status": "read"
  },
  {
   "url": "https://www.cusp.ai/",
   "label": "CuspAI, CuspAI | AI-powered materials discovery",
   "license": "cited for reporting; the publisher's own partner, data provider, licensing and company pages",
   "class": "primary-provider-own-site",
   "status": "read"
  },
  {
   "url": "https://www.intelligentcio.com/eu/2026/07/20/cuspai-launches-global-ai-materials-foundry-with-nvidia-meta-and-45-founding-partners/",
   "label": "CuspAI, CuspAI launches global AI Materials Foundry with NVIDIA, Meta and 45 founding partners – Intelligent CIO Europe",
   "license": "cited for reporting; the publisher's own partner, data provider, licensing and company pages",
   "class": "secondary",
   "status": "not-terms",
   "why": "the charter admits it for: a trade report naming CuspAI's Foundry data partners (name discovery only, never CuspAI's own terms)"
  },
  {
   "url": "https://content.presspage.com/uploads/2580/6609582b-6231-47c2-9a06-ef76d471fcd6/materialsdatafoundry.pdf",
   "label": "Materials Data Foundry (NUS and University of Toronto), materialsdatafoundry.pdf",
   "license": "cited for reporting; the publisher's own partner, data provider, licensing and company pages",
   "class": "primary-provider-own-site",
   "status": "read"
  },
  {
   "url": "https://citrine.io/",
   "label": "Citrine Informatics, Chemicals & Materials Development Platform | Citrine Informatics",
   "license": "cited for reporting; the publisher's own partner, data provider, licensing and company pages",
   "class": "primary-provider-own-site",
   "status": "not-terms",
   "why": "a 1,715-character product home page about the customer's own data on its platform, not a route for selling it"
  },
  {
   "url": "https://www.periodic.com/",
   "label": "Periodic Labs, Periodic Labs",
   "license": "cited for reporting; the publisher's own partner, data provider, licensing and company pages",
   "class": "primary-provider-own-site",
   "status": "read"
  },
  {
   "url": "https://www.radical-ai.com/",
   "label": "Radical AI, Radical AI",
   "license": "cited for reporting; the publisher's own partner, data provider, licensing and company pages",
   "class": "primary-provider-own-site",
   "status": "read"
  },
  {
   "url": "https://www.ccdc.cam.ac.uk/",
   "label": "CCDC, Structural Chemistry Data, Software, and Insights | CCDC",
   "license": "cited for reporting; the publisher's own partner, data provider, licensing and company pages",
   "class": "primary-provider-own-site",
   "status": "read"
  },
  {
   "url": "https://www.materials.zone/",
   "label": "MaterialsZone, AI-Powered Materials Informatics | Accelerate R&D and Innovation",
   "license": "cited for reporting; the publisher's own partner, data provider, licensing and company pages",
   "class": "primary-provider-own-site",
   "status": "not-terms",
   "why": "a product home page for the customer's own R&D data on its platform, not a route for selling it"
  },
  {
   "url": "https://www.opendatabay.com/",
   "label": "Opendatabay, Licensed AI Training Data & LLM Fine-Tuning Datasets | Opendatabay",
   "license": "cited for reporting; the publisher's own partner, data provider, licensing and company pages",
   "class": "primary-provider-own-site",
   "status": "not-terms",
   "why": "a general data buyer, venue or publisher that names no materials data, read on sellscientificdatatoai.com's buyer board; this board keeps to organisations whose pages name materials data"
  },
  {
   "url": "https://aws.amazon.com/data-exchange/providers/",
   "label": "AWS Data Exchange, Data Marketplace - AWS Data Exchange - AWS",
   "license": "cited for reporting; the publisher's own partner, data provider, licensing and company pages",
   "class": "primary-provider-own-site",
   "status": "not-terms",
   "why": "a general data buyer, venue or publisher that names no materials data, read on sellscientificdatatoai.com's buyer board; this board keeps to organisations whose pages name materials data"
  },
  {
   "url": "https://withprotege.ai/data-provider",
   "label": "Protege, For Data Providers - Protege",
   "license": "cited for reporting; the publisher's own partner, data provider, licensing and company pages",
   "class": "primary-provider-own-site",
   "status": "not-terms",
   "why": "the stored read is the cookie consent banner; the page's own text is not in it"
  },
  {
   "url": "https://nyne.ai/data-partnerships",
   "label": "Nyne.ai, Data partnerships | Nyne.ai",
   "license": "cited for reporting; the publisher's own partner, data provider, licensing and company pages",
   "class": "primary-provider-own-site",
   "status": "not-terms",
   "why": "a general data buyer, venue or publisher that names no materials data, read on sellscientificdatatoai.com's buyer board; this board keeps to organisations whose pages name materials data"
  },
  {
   "url": "https://www.troveo.ai/business-data",
   "label": "Troveo, Turn Your Company Data Into Revenue | Troveo",
   "license": "cited for reporting; the publisher's own partner, data provider, licensing and company pages",
   "class": "primary-provider-own-site",
   "status": "not-terms",
   "why": "a general data buyer, venue or publisher that names no materials data, read on sellscientificdatatoai.com's buyer board; this board keeps to organisations whose pages name materials data"
  },
  {
   "url": "https://www.redpine.ai/",
   "label": "Redpine, Redpine | Licensed data for AI agents and model training",
   "license": "cited for reporting; the publisher's own partner, data provider, licensing and company pages",
   "class": "primary-provider-own-site",
   "status": "not-terms",
   "why": "a general data buyer, venue or publisher that names no materials data, read on sellscientificdatatoai.com's buyer board; this board keeps to organisations whose pages name materials data"
  },
  {
   "url": "https://www.springernature.com/gp/rd/research-intelligence",
   "label": "Springer Nature, Data Licensing for Research & AI | Powering R&D with 150 Years of Expertise | Springer Nature",
   "license": "cited for reporting; the publisher's own partner, data provider, licensing and company pages",
   "class": "primary-provider-own-site",
   "status": "not-terms",
   "why": "a general data buyer, venue or publisher that names no materials data, read on sellscientificdatatoai.com's buyer board; this board keeps to organisations whose pages name materials data"
  },
  {
   "url": "https://www.springernature.com/gp/rd/pricing/data-solutions-intelligence",
   "label": "Springer Nature, Licensing Options​ Data Solutions & Intelligence | Powering R&D with 150 Years of Expertise | Springer Nature",
   "license": "cited for reporting; the publisher's own partner, data provider, licensing and company pages",
   "class": "primary-provider-own-site",
   "status": "not-terms",
   "why": "a general data buyer, venue or publisher that names no materials data, read on sellscientificdatatoai.com's buyer board; this board keeps to organisations whose pages name materials data"
  },
  {
   "url": "https://www.lila.ai/",
   "label": "Lila Sciences, LILA | Scientific Superintelligence",
   "license": "cited for reporting; the publisher's own partner, data provider, licensing and company pages",
   "class": "primary-provider-own-site",
   "status": "not-terms",
   "why": "a general data buyer, venue or publisher that names no materials data, read on sellscientificdatatoai.com's buyer board; this board keeps to organisations whose pages name materials data"
  }
 ],
 "methodology": "Each organisation's own partner, data provider, licensing and company pages were read through estate-fetch and stored whole (sha256 on every row). For every page, four questions were answered from its own words: how it comes by the data, data it names, its own words for the data, what a holder does first. Every stated answer carries the sentence it rests on, checked against the stored text; 'not stated' means the page read does not address the question. A organisation with several pages reads 'varies' where they disagree. 6 organisations, 7 pages.",
 "embed": "<figure style=\"margin:0;padding:16px;border:1px solid #d0d0d0;background:#ffffff\"><blockquote style=\"margin:0 0 8px;background:#ffffff\">2 of the 6 organisations whose pages we read license or partner for materials data from the companies and labs that hold it, read 28 October 2026.</blockquote><figcaption style=\"background:#ffffff\"><a href=\"https://sellmaterialdatatoai.com/datasets/material-data-buyers/\" style=\"background:#ffffff\">Who takes materials property and experimental data, and how, sellmaterialdatatoai.com</a></figcaption></figure>"
}
