Who Buys My Data Find your buyer

Methodology

Updated 27 Oct 2026. 66 buyers, 83 list pages.

Why this exists

Every "how to sell your data to AI companies" page we could find is written by a broker or an affiliate, and each one points at its own offer. This site lists the buyers side by side with what they publish: the price anchor, the payout model and the exclusivity term, each with a source and a date. Nobody pays to appear here or to rank.

How we find buyers

The first list came from buyers' own pages for sellers, press coverage of AI data licensing deals, funding announcements and the public directories of data marketplaces. New buyers come from the same sources and from the submit form. A buyer is listed when it has a public page saying what it buys and at least one published term: a price, a payout model or an exclusivity term. Listing is free.

What we record

One record per buyer, with these fields. Every fact that is not derived carries a URL and the date we read it.

FieldWhat it meansWhere it comes from
slugThe address of the profile, made from the name.Derived
nameThe name the buyer trades under.Buyer's site
websiteThe page a seller starts from.Buyer's site
hq_countryCountry of the head office, as a two-letter code; a buyer with no stated office is shown as worldwide.Buyer's site or company register
buyer_typeBroker, marketplace, licensing rail, collective, direct buyer, data collector and the like.Buyer's site
data_typesThe kinds of data the buyer says it takes.Buyer's site
seller_typesWho the buyer says it buys from: creators, companies, studios, developers.Buyer's site
own_catalogWhether the buyer licenses a catalog it owns itself.Buyer's site
buyers_namedAI labs or companies named as customers, marked "reported" when the source is press.Buyer's site or press
labs_namedWhether at least one lab customer is named.Derived from buyers named
payout_modelsHow the seller is paid: upfront, revenue share, per token, per hour, bounty and so on.Buyer's site
price_anchorThe published price, quoted verbatim with its date.Buyer's site or press
rate_publishedWhether the anchor is a rate per unit of data.Derived from the anchor
exclusivityExclusive, non-exclusive or varies by deal.Buyer's terms
minimumsMinimum volume, size or quality the buyer asks for.Buyer's site
referral_programWhether the buyer pays for introductions.Buyer's site
referral_termsWhat the referral program pays, as published.Buyer's site
payouts_reportedWhether total payouts to sellers have been reported.Buyer's site or press
funding_total_usdTotal funding raised, in US dollars.Press or company announcements
founded_yearYear the company was founded.Company site or register
statusActive, acquired or withdrawn.Press or company site
editor_pickWhether the editors chose the buyer as an editor's pick.Editors
editor_pick_hubs
first_partyWhether the publisher owns the listing. False on every record.Publisher
summaryTwo or three sentences on what the buyer takes and how it pays.Written from the sources
summary_editedWhether a person has edited the generated summary.Editors
verdictOne line on why the buyer is listed.Written from the sources
notesA short factual note shown on the card.Written from the sources
sourcesEvery URL a fact comes from, each with the date we read it.Research
price_anchor_sourceThe URL and read date of the price anchor.Research
last_verifiedThe last day every fact on the record was checked.Research
record_flagsInternal markers for facts waiting on a second source.Research

How lists are ordered

Every list on the site uses the same order:

  1. Editor's picks for the page's data type first.
  2. Then, on a data type list, buyers that name that data type explicitly.
  3. Then buyers with a published price anchor.
  4. Then name, A to Z.

That is the whole rule. Nothing in a record is a rank or a score, and nobody can pay to move up.

Editor's picks

The editors chose 26 of the 66 buyers as picks: buyers that publish their terms clearly, have a track record of paying sellers, or cover a data type few others do. The editors choose picks per data type, so a pick moves a buyer to the top of the lists for the data types it was chosen for and nothing else. The current picks:

When a page exists

A list page exists only when it holds 3 or more buyers. A page whose list would be the same as its parent's is not built either; its address redirects to the parent. Price pages are the one exception to the duplicate rule, because they show the anchors as a table.

On this build 83 list pages are built. 792 candidate addresses redirect because they would hold fewer than 3 buyers, 2 because they would repeat their parent, and 38 are other phrasings of a built page, 832 redirects in all. Every redirect lands on a built page in one step.

Sources and dates

Every fact needs a URL and the date we read it, shown on the profile. Where a fact comes from press rather than the buyer, the profile says "reported". There are no ratings on this site: we do not collect reviews, we do not copy ratings from elsewhere and we do not score buyers. Each record carries the day it was last verified.

Prices

A price anchor is the figure a buyer publishes for what it pays: a rate per minute, per image, per token or per hour, a revenue share, or a deal size. It is quoted verbatim, with the date we read it and the page it is on; amounts are never converted or rounded. 26 of the 66 buyers publish one.

Each profile also shows seven "terms published" facts: price anchor, payout model, exclusivity, minimums, named lab customers, payouts in press and referral program. Each is shown as Yes or No with its source. They are never counted into a score and never order a list.

The questionnaire

Find your buyer asks three questions: what data you have, who you are, and what matters most (highest price, fastest payout, keeping rights non-exclusive, or no minimums).

Only buyers that take your data type are considered. Each gets 3 points for the data type, 2 if it buys from sellers like you, 2 if it meets your priority (a published rate, an upfront payout, non-exclusive terms or no minimums), and 1 if it is an editor's pick. Ties are broken by a number between 0 and 1 that changes once an hour, so everyone asking the same thing in the same hour sees the same three. The score is never shown.

Badges

Badges are worked out from the records on each build. Nobody applies for one and nobody pays for one.

  • Editor's Pick: Chosen by the editors of Who Buys My Data from the buyers we list.
  • Transparent Terms: Publishes its price anchor, payout model and exclusivity terms.
  • Non-Exclusive Buyer: Licenses data on non-exclusive terms, so the owner can license it again.
  • Publishes Rates: Publishes a rate per unit of data.
  • Pays Referrals: Runs a referral program that pays for introductions.
  • Top data buyer of the year, one badge per data type: the first three buyers on a built data type list in the order above.

All badges and their holders.

Disclosure

No listing on this site is owned by or affiliated with the publisher. The publisher, 2V Automation, builds and runs this site and has no product in this directory. Where a referral link exists it is marked on the card with "Referral link, we may earn a fee".

Corrections

We write every listing from sources anyone can check. A company whose terms have changed updates them at the source and sends the links to [email protected]. The listing follows the record.

Changelog

DateChange
26 Oct 2026Site launched with 66 buyers and 83 pages