Who takes scientific and experimental data, and how
2 of the 11 organisations whose pages we read license or partner for scientific data from the labs and companies that hold it, read 28 October 2026.
How it comes by the data
Data it names
Its own words for the data
What a holder does first
All the answers, organisation by organisation
Every row is a single organisation, and every answer expands to the wording it was taken from, the page it came from and when it was read. "Not stated" is used when the page says nothing on the point.
| Organisation | How it comes by the data | Data it names | Its own words for the data | What a holder does first |
|---|---|---|---|---|
| AWS Data Exchange | runs a venue where holders list data for buyers | data of many kinds, none singled out | There is no other place where customers can find data files, tables, and APIs in one… | not statedNot addressed in AWS Data Exchange marketplace page |
| CAS (American Chemical Society) | licenses a corpus it publishes or owns | chemistry, molecules or structures | CAS Collaborates with Novartis Enabling a next-generation AI platform with enriched… | not statedNot addressed in CAS home page |
| K-Dense and Litmus Science | generates its own experimental data | not statedNot addressed in K-Dense and Litmus partnership post | not statedNot addressed in K-Dense and Litmus partnership post | not statedNot addressed in K-Dense and Litmus partnership post |
| Lila Sciences | generates its own experimental data | unpublished or lab experimental data | With advanced AI and autonomous labs LILA generates hypotheses, designs and runs… | not statedNot addressed in Lila Sciences home page |
| Nyne.ai | licenses or partners for data from the labs and companies that hold it | data of many kinds, none singled out | Nyne turns your de-identified operational workflows into frontier-grade training data… | We work with your team to scope what's relevant and what protections apply. |
| Opendatabay | runs a venue where holders list data for buyers | data of many kinds, none singled out | Find commercially licensed datasets for AI training and LLM fine-tuning | not statedNot addressed in Opendatabay marketplace home page |
| Polaris | runs a venue where holders list data for buyers | chemistry, molecules or structures | Polaris makes it easy for the machine learning in drug discovery community to share and… | not statedNot addressed in Polaris home page |
| Redpine | licenses a corpus it publishes or owns | published papers, books and journal content | 200B+ tokens of licensed peer-reviewed research, straight into your AI workflows. | not statedNot addressed in Redpine home page |
| Springer Nature | licenses a corpus it publishes or owns | published papers, books and journal content | Access AI-ready scientific content and datasets to support analysis and advanced research | Learn more about our flexible licensing options below or contact us.Not addressed in ARC3 data licensing page |
| Troveo | licenses or partners for data from the labs and companies that hold it | data of many kinds, none singled out | AI labs and startups are actively paying six figures for company data exports. | not statedNot addressed in Troveo business data page |
| Wiley | licenses a corpus it publishes or owns | published papers, books and journal content | developing and commercializing AI-ready content and data products for AI developers and… | not statedNot addressed in Wiley press release on its Chief AI and Data Services Officer |
Where each answer was read (48)
- AWS Data Exchange, AWS Data Exchange marketplace page, read 2026-10-27, How it comes by the data:
Here are a few of over 300 data providers you will find in the AWS Data Exchange catalog.
- AWS Data Exchange, AWS Data Exchange marketplace page, read 2026-10-27, Data it names:
There is no other place where customers can find data files, tables, and APIs in one place.
- AWS Data Exchange, AWS Data Exchange marketplace page, read 2026-10-27, Its own words for the data:
There is no other place where customers can find data files, tables, and APIs in one place.
- AWS Data Exchange, AWS Data Exchange marketplace page, read 2026-10-27, What a holder does first: Nothing on this page answers it (6,647 characters of page text, read 2026-10-27).
- CAS (American Chemical Society), CAS home page, read 2026-10-28, How it comes by the data:
CAS Collaborates with Novartis Enabling a next-generation AI platform with enriched reaction data.
- CAS (American Chemical Society), CAS home page, read 2026-10-28, Data it names:
CAS Collaborates with Novartis Enabling a next-generation AI platform with enriched reaction data.
- CAS (American Chemical Society), CAS home page, read 2026-10-28, Its own words for the data:
CAS Collaborates with Novartis Enabling a next-generation AI platform with enriched reaction data.
- CAS (American Chemical Society), CAS home page, read 2026-10-28, What a holder does first: Nothing on this page answers it (4,694 characters of page text, read 2026-10-28).
- K-Dense and Litmus Science, K-Dense and Litmus partnership post, read 2026-10-28, How it comes by the data:
Today, we are announcing a new partnership between K-Dense and Litmus Science to connect AI-powered scientific research with on-demand laboratory execution.
- K-Dense and Litmus Science, K-Dense and Litmus partnership post, read 2026-10-28, Data it names: Nothing on this page answers it (11,192 characters of page text, read 2026-10-28).
- K-Dense and Litmus Science, K-Dense and Litmus partnership post, read 2026-10-28, Its own words for the data: Nothing on this page answers it (11,192 characters of page text, read 2026-10-28).
- K-Dense and Litmus Science, K-Dense and Litmus partnership post, read 2026-10-28, What a holder does first: Nothing on this page answers it (11,192 characters of page text, read 2026-10-28).
- Lila Sciences, Lila Sciences home page, read 2026-10-28, How it comes by the data:
With advanced AI and autonomous labs LILA generates hypotheses, designs and runs experiments, and learns from new data in real time.
- Lila Sciences, Lila Sciences home page, read 2026-10-28, Data it names:
Fusing physics-based models with experimental data for faster exploration
- Lila Sciences, Lila Sciences home page, read 2026-10-28, Its own words for the data:
With advanced AI and autonomous labs LILA generates hypotheses, designs and runs experiments, and learns from new data in real time.
- Lila Sciences, Lila Sciences home page, read 2026-10-28, What a holder does first: Nothing on this page answers it (3,135 characters of page text, read 2026-10-28).
- Nyne.ai, Nyne data partnerships page, read 2026-10-27, How it comes by the data:
We partner with you to license your company's data.
- Nyne.ai, Nyne data partnerships page, read 2026-10-27, Data it names:
Nyne turns your de-identified operational workflows into frontier-grade training data
- Nyne.ai, Nyne data partnerships page, read 2026-10-27, Its own words for the data:
Nyne turns your de-identified operational workflows into frontier-grade training data, under your governance and on your terms.
- Nyne.ai, Nyne data partnerships page, read 2026-10-27, What a holder does first:
We work with your team to scope what's relevant and what protections apply.
- Opendatabay, Opendatabay marketplace home page, read 2026-10-08, How it comes by the data:
Licensed Data Providers ( 94 ) View all providers
- Opendatabay, Opendatabay marketplace home page, read 2026-10-08, Data it names:
Multimodal Licensed Data Marketplace for AI Training and LLM Fine-Tuning
- Opendatabay, Opendatabay marketplace home page, read 2026-10-08, Its own words for the data:
Find commercially licensed datasets for AI training and LLM fine-tuning
- Opendatabay, Opendatabay marketplace home page, read 2026-10-08, What a holder does first: Nothing on this page answers it (10,788 characters of page text, read 2026-10-08).
- Polaris, Polaris home page, read 2026-10-28, How it comes by the data:
Polaris makes it easy for the machine learning in drug discovery community to share and access datasets & benchmarks.
- Polaris, Polaris home page, read 2026-10-28, Data it names:
Polaris makes it easy for the machine learning in drug discovery community to share and access datasets & benchmarks.
- Polaris, Polaris home page, read 2026-10-28, Its own words for the data:
Polaris makes it easy for the machine learning in drug discovery community to share and access datasets & benchmarks.
- Polaris, Polaris home page, read 2026-10-28, What a holder does first: Nothing on this page answers it (4,598 characters of page text, read 2026-10-28).
- Redpine, Redpine home page, read 2026-10-28, How it comes by the data:
200B+ tokens of licensed peer-reviewed research, straight into your AI workflows.
- Redpine, Redpine home page, read 2026-10-28, Data it names:
Licensed, peer-reviewed content from leading journals
- Redpine, Redpine home page, read 2026-10-28, Its own words for the data:
200B+ tokens of licensed peer-reviewed research, straight into your AI workflows.
- Redpine, Redpine home page, read 2026-10-28, What a holder does first: Nothing on this page answers it (11,137 characters of page text, read 2026-10-28).
- Springer Nature, ARC3 licensing options page, read 2026-10-28, How it comes by the data:
Work with content from journals, books and human‑validated databases, with licensing options tailored to specific use cases, subject areas and workflows.
- Springer Nature, ARC3 licensing options page, read 2026-10-28, Data it names:
Work with content from journals, books and human‑validated databases
- Springer Nature, ARC3 licensing options page, read 2026-10-28, Its own words for the data:
Access trusted scientific data and datasets through flexible ARC3 data licensing, designed to support research, analytics and AI.
- Springer Nature, ARC3 licensing options page, read 2026-10-28, What a holder does first:
Learn more about our flexible licensing options below or contact us.
- Springer Nature, ARC3 data licensing page, read 2026-10-28, How it comes by the data:
With ARC3 data licensing, you can access high-quality datasets from Springer Nature's portfolio of trusted journals, books and human-validated databases
- Springer Nature, ARC3 data licensing page, read 2026-10-28, Data it names:
From journals and books to expertly curated and human-validated datasets
- Springer Nature, ARC3 data licensing page, read 2026-10-28, Its own words for the data:
Access AI-ready scientific content and datasets to support analysis and advanced research
- Springer Nature, ARC3 data licensing page, read 2026-10-28, What a holder does first: Nothing on this page answers it (4,633 characters of page text, read 2026-10-28).
- Troveo, Troveo business data page, read 2026-10-27, How it comes by the data:
Troveo matches you with them, anonymizes your data to a documented standard, and licenses it on terms you approve
- Troveo, Troveo business data page, read 2026-10-27, Data it names:
AI labs and startups are actively paying six figures for company data exports.
- Troveo, Troveo business data page, read 2026-10-27, Its own words for the data:
AI labs and startups are actively paying six figures for company data exports.
- Troveo, Troveo business data page, read 2026-10-27, What a holder does first: Nothing on this page answers it (4,973 characters of page text, read 2026-10-27).
- Wiley, Wiley press release on its Chief AI and Data Services Officer, read 2026-10-28, How it comes by the data:
focusing on developing and commercializing AI-ready content and data products for AI developers and corporate R&D teams.
- Wiley, Wiley press release on its Chief AI and Data Services Officer, read 2026-10-28, Data it names:
convert content assets into predictive data and AI services.
- Wiley, Wiley press release on its Chief AI and Data Services Officer, read 2026-10-28, Its own words for the data:
developing and commercializing AI-ready content and data products for AI developers and corporate R&D teams.
- Wiley, Wiley press release on its Chief AI and Data Services Officer, read 2026-10-28, What a holder does first: Nothing on this page answers it (5,946 characters of page text, read 2026-10-28).
Not counted on this board
5 named documents fell outside what this board reads once we had read them; their reasons follow. They are tallied, never scored as answers.
- 83 Sciences, Head of Data Partnerships at 83 Sciences | Y Combinator: a materials-discovery organisation, read on sellmaterialdatatoai.com's buyer board; this board keeps to publishers, research-data venues and general data buyers so the two sites' boards do not repeat each other
- 83 Sciences, 83 Sciences: AI-native materials discovery powered by unpublished experimental data | Y Combinator: a materials-discovery organisation, read on sellmaterialdatatoai.com's buyer board; this board keeps to publishers, research-data venues and general data buyers so the two sites' boards do not repeat each other
- Protege, For Data Providers - Protege: the stored read is the cookie consent banner; the page's own text is not in it
- Periodic Labs, Periodic Labs: a materials-discovery organisation, read on sellmaterialdatatoai.com's buyer board; this board keeps to publishers, research-data venues and general data buyers so the two sites' boards do not repeat each other
- FutureHouse, FutureHouse: a 1,289-character home page that names no data and no route
How the figures are worked out
Each organisation's own data partnership, 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.
11 organisations, 12 pages.
The 17 pages we read
- 83 Sciences, Head of Data Partnerships at 83 Sciences | Y Combinator (read, set aside)
- 83 Sciences, 83 Sciences: AI-native materials discovery powered by unpublished experimental data | Y Combinator (read, set aside)
- Springer Nature, Data Licensing for Research & AI | Powering R&D with 150 Years of Expertise | Springer Nature (cited for reporting; the publisher's own data partnership, data provider, licensing and company pages)
- Springer Nature, Licensing Options Data Solutions & Intelligence | Powering R&D with 150 Years of Expertise | Springer Nature (cited for reporting; the publisher's own data partnership, data provider, licensing and company pages)
- Opendatabay, Licensed AI Training Data & LLM Fine-Tuning Datasets | Opendatabay (cited for reporting; the publisher's own data partnership, data provider, licensing and company pages)
- Protege, For Data Providers - Protege (read, set aside)
- AWS Data Exchange, Data Marketplace - AWS Data Exchange - AWS (cited for reporting; the publisher's own data partnership, data provider, licensing and company pages)
- Nyne.ai, Data partnerships | Nyne.ai (cited for reporting; the publisher's own data partnership, data provider, licensing and company pages)
- Troveo, Turn Your Company Data Into Revenue | Troveo (cited for reporting; the publisher's own data partnership, data provider, licensing and company pages)
- Redpine, Redpine | Licensed data for AI agents and model training (cited for reporting; the publisher's own data partnership, data provider, licensing and company pages)
- Polaris, Polaris - The benchmarking platform for drug discovery (cited for reporting; the publisher's own data partnership, data provider, licensing and company pages)
- K-Dense and Litmus Science, K-Dense Web + Litmus: Hypothesis to Experiment (cited for reporting; the publisher's own data partnership, data provider, licensing and company pages)
- Periodic Labs, Periodic Labs (read, set aside)
- Lila Sciences, LILA | Scientific Superintelligence (cited for reporting; the publisher's own data partnership, data provider, licensing and company pages)
- FutureHouse, FutureHouse (read, set aside)
- Wiley, Wiley Appoints Armughan Rafat as Chief AI and Data Services Officer | John Wiley & Sons, Inc. (cited for reporting; the publisher's own data partnership, data provider, licensing and company pages)
- CAS (American Chemical Society), Empowering Innovation & Scientific Discoveries | CAS (cited for reporting; the publisher's own data partnership, data provider, licensing and company pages)
Use this figure
2 of the 11 organisations whose pages we read license or partner for scientific data from the labs and companies that hold it, read 28 October 2026.
How it comes by the data, by organisation: licenses a corpus it publishes or owns 4 of 11, runs a venue where holders list data for buyers 3 of 11, generates its own experimental data 2 of 11, licenses or partners for data from the labs and companies that hold it 2 of 11 (11 organisations, read 28 October 2026).
Data it names, by organisation: data of many kinds, none singled out 4 of 11, published papers, books and journal content 3 of 11, chemistry, molecules or structures 2 of 11, not stated 1 of 11, unpublished or lab experimental data 1 of 11 (11 organisations, read 28 October 2026).
Its own words for the data, by organisation: stated 10 of 11, not stated 1 of 11 (11 organisations, read 28 October 2026).
What a holder does first, by organisation: not stated 9 of 11, stated 2 of 11 (11 organisations, read 28 October 2026).
Credit as: "Who takes scientific and experimental data, and how", updated 2026-10-28, https://sellscientificdatatoai.com/datasets/scientific-data-buyers/.
CSV download (48 answers; derived 2026-10-28)