Who sells AI training data: a census of vendors, what they say they sell, and where their data comes from

Firms that sell training data, expert labour, reinforcement-learning (RL) environments and evaluations to AI developers are mostly private and known largely through their own websites. This paper reports a census of 150 such vendors, read on their sites on 15 and 16 October 2026 with every claim tied to a quoted sentence, and links it to three companion tables: 37 organisations that publish a way to sell them data, 227 revenue records and 111 funding records. Evaluations are the most common offering (122 vendors, 81.3%), followed by datasets (104), RL environments (89), expert and human data (83) and annotation (57). Vendors bundle: the median vendor lists three of six kinds, and 79 of the 89 RL-environment sellers also sell evaluations. Most data are made to order: 90 vendors cite experts and contractors, 41 recordings, 30 generation and 15 software replicas, against 17 that license data from its owners and 22 that use the client's own data; 19 do not say. Of the 37 buyers, 24 take company records; among those that publish them, the median floor is $100,000 and the median ceiling $1 million per seller. Revenue disclosure runs from audited filings of four listed vendors to self-reported run rates, and 61 funding rounds with a disclosed amount total $4.30 billion. We describe the method, the classification and the limits of a self-description census. Keywords: AI training data; data vendors; data annotation; reinforcement learning environments; model evaluation; data markets; company data; market census Use of AI: this paper was prepared with generative AI tools, which compiled and analysed the open datasets and drafted the text. The author takes responsibility for its content. Competing interests: the author is CEO of AIData.Broker, which acts for companies that license their data to AI developers and publishes the open datasets the paper draws on. Also at aidata.broker/research/paper-vendors.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-18
DOI
https://doi.org/10.5281/zenodo.23452944
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
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article

Who sells AI training data: a census of vendors, what they say they sell, and where their data comes from

Yuma Heymans
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

Who sells AI training data: a census of vendors, what they say they sell, and where their data comes from

Yuma Heymans
article en

Abstract

Firms that sell training data, expert labour, reinforcement-learning (RL) environments and evaluations to AI developers are mostly private and known largely through their own websites. This paper reports a census of 150 such vendors, read on their sites on 15 and 16 October 2026 with every claim tied to a quoted sentence, and links it to three companion tables: 37 organisations that publish a way to sell them data, 227 revenue records and 111 funding records. Evaluations are the most common offering (122 vendors, 81.3%), followed by datasets (104), RL environments (89), expert and human data (83) and annotation (57). Vendors bundle: the median vendor lists three of six kinds, and 79 of the 89 RL-environment sellers also sell evaluations. Most data are made to order: 90 vendors cite experts and contractors, 41 recordings, 30 generation and 15 software replicas, against 17 that license data from its owners and 22 that use the client's own data; 19 do not say. Of the 37 buyers, 24 take company records; among those that publish them, the median floor is $100,000 and the median ceiling $1 million per seller. Revenue disclosure runs from audited filings of four listed vendors to self-reported run rates, and 61 funding rounds with a disclosed amount total $4.30 billion. We describe the method, the classification and the limits of a self-description census. Keywords: AI training data; data vendors; data annotation; reinforcement learning environments; model evaluation; data markets; company data; market census Use of AI: this paper was prepared with generative AI tools, which compiled and analysed the open datasets and drafted the text. The author takes responsibility for its content. Competing interests: the author is CEO of AIData.Broker, which acts for companies that license their data to AI developers and publishes the open datasets the paper draws on. Also at aidata.broker/research/paper-vendors.

Zenodo (CERN European Organization for Nuclear Research)
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Ethics and Social Impacts of AI
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Who sells AI training data: a census of vendors, what they say they sell, and where their data comes from — Yuma Heymans · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS