AI training data companies, compared.
Four categories of supplier sell to the same buyers. They sell completely different things, and only one of them buys what an operating business holds.
Four kinds of supplier.
Coverage of this market tends to treat every supplier as interchangeable. They are not, and the difference decides who a given company should be talking to.
- Data-labor marketplaces
- Recruit specialists, match them to a brief, and pay them to produce training material that did not exist before. They sell access to people and their time.
- Annotation vendors
- Apply human judgment to material a buyer already holds. Labeling, rating, ranking, and feedback. Preparation rather than origination.
- Synthetic data providers
- Generate training material algorithmically rather than sourcing it from a real operating business. Useful for volume, not for lived history.
- Data labs
- Source material from operating businesses, verify provenance, clear rights, prepare it, and supply the labs as a principal. Polyshares is one of these, focused on enterprise operating records.
Why most of the market cannot help an operating business.
Three of those four categories have nothing to offer a company sitting on ten years of Slack and a CRM.
A data-labor marketplace wants to hire your people, not license your record. An annotation vendor is not buying data at all. A synthetic data provider generates its own material and has no reason to come looking for yours.
That leaves data labs. For an ordinary operating company, a data lab is the category that actually writes a cheque.
What a serious buyer checks.
Provenance first. A clean chain showing the seller had the right to grant the license, established before price is discussed.
Then whether personal information can be properly removed, and how much of the record is genuinely unpublished. Anything already scraped from the open web has been free for years.
A supplier that skips these steps is not going to be able to place the material, whatever it pays you on paper.
Questions about the market.
What are the main types of AI training data company?
Four. Data-labor marketplaces, annotation vendors, synthetic data providers, and data labs that source and clear material from operating businesses. They sell different things to the same buyers.
Which type buys data from ordinary companies?
Data labs. Data-labor marketplaces sell people's time, annotation vendors sell work performed on data a lab already has, and synthetic data providers generate material rather than sourcing it. A data lab is the category that acquires existing records from businesses and pays for them.
How do AI labs actually buy training data?
Rarely by opening procurement against individual small businesses. They contract with a limited number of suppliers who can guarantee provenance, handle clearance, and deliver at a usable standard.
Can a company list its data on an open marketplace instead?
It can, and it usually means competing on volume in a queue, giving up control of where the material ends up, and paying a cut to the platform. A principal buyer takes the other side of the trade instead.
Where does Polyshares fit?
We are a data lab focused on enterprise operating records. We license the record directly from the company that produced it, pay between $100K and $2M in a typical deal, anonymize it, and supply the AI labs.
Speak with someone on the team.
Three quick questions tell us whether there is a market for what your company holds. You will get a straight answer either way.
Check your data