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AI Training Data Companies

AI training data companies license existing data, label data you hold, recruit experts to write and rank examples, generate synthetic data, or evaluate models. Below are 50 of them by type, each linked to what its own site publishes about prices and terms.

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Index edition of 7 November 202650 companies in 6 categories, alphabetical within each

Licensed data

Annotation

Expert and RLHF

Synthetic

Marketplaces

Evaluation

Disclosure: a company in this index may pay us if we introduce a buyer and work follows. Inclusion, alphabetical order and wording are unaffected. Unaffiliated and unendorsed: none of these companies owns, sponsors or approves this index.

Which kind of training data company do you need?

Six kinds, in the order most buyers rule them in or out: first whether the data already exists, then whether people must make it, then whether a generator can fill the gaps, and last how you will check the result.

Licensed data

Start here if the data may already exist

Licensors hold material someone else created: publisher archives, web content, support histories, recordings. You pay for permission, not labor, so the price turns on size, uniqueness, exclusivity and term.

Collective licenses such as Copyright Clearance Center's AI Systems Training License cover many rightsholders at once; company-data offerings such as Labelbox Prism license operational data from individual firms, exclusive by default.

Listed: Appen, Centific, Copyright Clearance Center, Labelbox Prism, RSL Collective and others. Open the Licensed data section of the directory.

Marketplaces

For standard datasets with a listed price

Marketplaces let independent providers list data and set their own terms. They suit tabular and commercial datasets more than bespoke training sets, and the marketplace usually takes its cut from the provider: AWS Data Exchange charges providers a 3% listing fee on public offers.

Listed: AWS Data Exchange, Databricks Marketplace, Datarade, Defined.ai, Prolific and others. Open the Marketplaces section of the directory.

Annotation

When you hold raw data that needs labels

Labeling companies split into platforms (you bring annotators, they bring software) and managed services (they bring both). Rates are seldom public. Two exceptions: a box drawn by Label Your Data starts at two cents, and Segments.ai's entry plan comes to $2.67 for each hour of labeling.

Listed: CloudFactory, Dataloop, Encord, HumanSignal (Label Studio), Keymakr and others. Open the Annotation section of the directory.

Expert and RLHF

When people with expertise must create it

Post-training data for language models and agents comes from networks of domain experts who write demonstrations, rank outputs and build tasks with graders. RL environment builders recreate software such as CRMs and ticketing tools so agents can practice in them.

Buyer prices here are almost never public. People Epoch AI interviewed said one graded RL task usually lands somewhere from $200 up to $2,000, and that exclusivity multiplies the bill about fourfold or fivefold.

Listed: Bespoke Labs, Halluminate, Handshake AI, Innodata, Mercor and others. Open the Expert and RLHF section of the directory.

Synthetic

To fill gaps, protect privacy or scale cheaply

Generators produce tabular records, text or rendered images from seed data, a schema or a 3D scene. They are strongest where real data is scarce or cannot leave a secure system, and weakest where the generator shares the blind spots you want fixed. Rendered.ai is one of few to publish a price: from $5,000 a month.

Listed: Aindo, K2view, MOSTLY AI (Syntho), Parallel Domain, Rendered.ai and others. Open the Synthetic section of the directory.

Evaluation

To prove the data improved the model

Evaluation platforms run test sets against model versions and trace failures in production; red-teaming specialists probe for unsafe behavior. Here, at least, list prices exist: LangSmith charges $39 per seat monthly on Plus, and Braintrust Pro costs $249 monthly.

Listed: Braintrust, Confident AI (DeepEval), Galileo, Giskard, Gray Swan AI and others. Open the Evaluation section of the directory.

Disclosure: any company in this list could end up paying us for an introduction that turns into work. Entries, their sequence and our descriptions are written the same way regardless.

How do you choose a sourcing route?

Match the gap in your model to the cheapest route that can close it. The full comparison covers rights and risks.

If your situation isStart withWatch for
You need breadth: many domains, styles or yearsLicensed data or a marketplaceWhether the seller may sublicense for training
You hold raw images, audio or text without labelsAn annotation platform or managed serviceGuideline drift across annotators; run a pilot
The model must learn expert judgment or a new behaviorExpert and RLHF networksExpert vetting and how disagreements are resolved
An agent must learn to use softwareRL environment buildersWhether tasks have reliable graders
Real data is sensitive, rare or slow to collectSynthetic data generatorsTest on real held-out data, never synthetic alone

How is training data priced?

Four models cover nearly every quote. Most companies in the directory do not publish rates at all; the examples below are from those that do, read 7 November 2026.

Pricing modelHow it worksPublished example
Per task or itemA rate per labeled object, entity, ranking or finished taskLabel Your Data: keypoints from $0.015 per object, NLP from $0.02 per entity
Per hourYou pay for annotator, expert or participant timeProlific: a floor of $8 for each participant hour ($12 suggested), with Prolific's own fee added
Per datasetA fixed price for a defined deliverable, set after scopingRarely published; most vendors in the directory quote per project
License feeA payment for the right to train on existing data, often with a term and usage limitsBloomberg reported AI companies paying $1 to $4 a minute for video footage

Disclosure: any company in this list could end up paying us for an introduction that turns into work. Entries, their sequence and our descriptions are written the same way regardless.

Published starting rates, not quotes. Read how each model behaves on a real project, or put your own volumes into the cost estimator.

Sources behind this section
  1. Label Your Data pricing page (seen 7 November 2026)
  2. Prolific payment model help article (seen 7 November 2026)
  3. Segments.ai pricing page (seen 7 November 2026)
  4. Rendered.ai homepage (seen 7 November 2026)
  5. LangSmith pricing page (LangChain) (seen 7 November 2026)
  6. Braintrust pricing page (seen 7 November 2026)
  7. AWS Marketplace listing fees (seen 7 November 2026)
  8. Labelbox Prism page (seen 7 November 2026)
  9. RL environments FAQ by Denain and Barber at Epoch AI, 12 Jan 2026 (interview figures, not contracts)
  10. Bloomberg, video footage rates for AI training, 10 Jan 2025

What should you ask about provenance and rights?

Ask before pricing, in writing. A missing answer usually means the work has not been done. The provenance checklist has all 21 questions.

  • Who created each part of the set?Contributors, a licensed publisher, a public source or a generator model, stated per component.
  • Does the license name AI training?"Internal use" or "analytics" is not the same permission.
  • Can the vendor sublicense it to you?A reseller needs rights from the original holder that allow it.
  • What happens to your model when the term ends?A survival clause matters more than the expiry date.
  • How was personal data removed?The method, not just the promise. Voiceprints can be biometric data under Illinois, Texas and Washington law.
  • What is warranted, and who pays if a claim arrives?Have your own lawyer read the warranty and indemnity.

What have public data deals been worth?

Most licensing deals are private. These are the figures that reached a filing, an earnings release or a named news outlet. They show the range, not a price list, and the blog post on deal prices reads them in context.

DataReported figureWhat it coveredReported by
Reddit$203.0 millionAggregate contract value of data licensing agreements entered from January 2024, with terms of two to three yearsReddit Form S-1, as reported by TechCrunch, 22 Feb 2024
Shutterstock$104 millionRevenue from its AI licensing business in 2023Bloomberg, 4 Jun 2024
Wiley$23M, then $40MAI licensing revenue in fiscal 2024 and fiscal 2025 (years ending 30 April)Wiley earnings release, 17 Jun 2025
Informa (Taylor & Francis)About $10 millionInitial data access fee from Microsoft, plus recurring payments over three yearsInforma market update, 8 May 2024, via interactive investor
Spirit Airlines business data$10 million bidOffer by Google for the airline's staff email, chat, files and calendars, de-identified first; a rival $7.5 million offer came from Mercor; a court still had to approveReuters report of 17 Aug 2026 (via The Star)
Unused video footage$1 to $4 a minuteWhat AI companies were paying for footage, with OpenAI, Google and Moonvalley named as buyersBloomberg, 10 Jan 2025
HVAC company recordsAbout $150,000Paid by data labeling startups to HVAC companies for their operational dataThe Information, 2026
A wound-down startup's codeAbout $25,000What one founder netted for a codebase after the company closedMIT Technology Review, 13 Oct 2026

Questions buyers ask first

What does an AI training data company do?

It supplies the examples a model learns from. Depending on the company, that means licensing existing data, collecting new data to order, labeling data you hold, recruiting experts to write or rank examples, generating synthetic data, or testing a model against evaluation sets.

Who are the largest AI training data companies?

Scale AI, Surge AI, Mercor, Turing, micro1, TELUS Digital and Appen all sell to frontier AI labs, but few publish revenue, headcount or prices, so a size ranking would be guesswork. The directory reports what each one says about itself.

How much does AI training data cost?

Public starting rates span from two cents for a labeled box at Label Your Data up to hundreds or low thousands of dollars for one graded RL task, going by Epoch AI's interviews. Put your own volume into the cost estimator to see the totals.

Is it better to license data or commission it?

License when the value is breadth that already exists; commission when you need behavior no existing dataset shows. Most teams do both. The primer on the three routes compares them side by side.

Which companies sell RLHF data?

Expert networks such as Surge AI, Mercor, micro1, Turing, Toloka and Handshake AI, and platforms such as Scale AI and Labelbox. See the expert and RLHF section of the directory.

Can I trust a vendor's claims about data rights?

Ask for them in writing. A training-use clause, contributor agreements and a datasheet are the minimum. The provenance checklist lists 21 questions.

Do you sell training data?

No. We index the companies that do, and introduce teams to vendors whose published terms fit their project. We never hold, receive or look at anyone's data.

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ZIP code first, then an email for our answer, then a sketch of the dataset. A person here compares the sketch with the vendors in the index and writes back naming the ones whose own terms fit.

Introductions only: we are not a training data vendor, and the vendor we connect you with may pay us a fee.

Where is the company based?

Send words, not data: no samples, files, exports or logins through this form, ever.

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