Secludy publishes Who Sells Data, a sourced directory of 159 companies selling AI training data, RL environments and evals
if you sell AI training data, see how you compare: we found 159 companies selling data, RL envs and evals, every fact sourced plus 38 programs that pay companies for their data: t.co/a3U4qcTvKz 8 of the 14 that pay companies directly publish a dollar range. most of the rest set terms per deal. unknowns are marked and nothing is ranked the other page: what each program wants, who qualifies and what it offers: t.co/FVD3vdqUS3 missing something, or something wrong? fix it on the site, a person reviews every change we built this at @Secludy. if you buy, broker or license company data and need the names out before it reaches a lab, dm me
Context
The market for training data and reinforcement learning environments has grown crowded and opaque, and a public, sourced register helps buyers and sellers compare who offers what.
Ben Cerchio built the directory at Secludy, which says on the site that it makes sensitive data safe to use for AI and may sell to companies listed there. That makes this a first hand post with a commercial angle, though the site says listings are free, unranked and never paid for. The post reached the tracked feed through a quote by Rohan Paul.
Deep dive
On October 14, Ben Cerchio posted that his team found 159 companies selling data, RL environments and evals, with every fact sourced, plus 38 programs that pay companies for their data.
The site, Who Sells Data, lists the 159 vendors unranked and lets visitors filter by what they sell, such as training data, human data, annotation, RL environments, evals and simulation, and by domain, from coding and computer use to robotics, finance, legal and medical work. Each listing shows a short description, funding where known, and the date it was last checked, with facts linked to sources and unknowns marked.
The list runs from large players such as Scale, Mercor, Surge, Snorkel, Handshake and Turing to small startups building reinforcement learning environments for coding, finance or chip design, and robotics data collectors that record people doing hand tasks. Several entries note acquisitions, such as Mercor buying Deeptune.
Cerchio wrote that 8 of the 14 programs that pay companies directly publish a dollar range, while most of the rest set terms per deal. A second page covers what each buying program wants, who qualifies and what it offers.
The site says anyone can add a missing company or fix a listing, and Cerchio wrote that a person reviews every change. He ended by inviting anyone who buys, brokers or licenses company data and needs names removed before it reaches a lab to contact him, which is Secludy's own business.
What to expect next
Watch whether the directory becomes a reference that AI labs and data buyers actually use, and how often it is updated as funding rounds and acquisitions reshape the vendor list.
Also watch the market for companies selling their own operational data to labs, since published price ranges from buying programs could push more businesses to license records, raising privacy questions that tools like Secludy's are built to address.