How and Where to Buy AI Training Data in 2026

You can buy training data in four places, and each one sells something different.

A marketplace is the fastest route when the data already exists. We run one at Troveo, and our guide to AI training data marketplaces covers how they work and who runs them. For scarce data like real-world video, audio and gameplay, a marketplace is usually the only practical route. Thousands of creators and media companies hold that material, and no lab wants to negotiate with each of them.

Direct deals suit the largest buyers. News Corp licensed its archive to OpenAI for a reported 250 million dollars over five years, and Google pays Reddit about 60 million dollars a year. Deals like these take months, and they only make sense when one owner holds a catalog big enough to justify the work.

Open datasets and off-the-shelf sets work for research and evaluation. They won't set your model apart, because every other team has them too. Our guide to where AI labs source training data covers all six channels labs use, the free ones included.

Labeling companies and expert networks sell work on data (annotation, human feedback, expert demonstrations). If that's what you need, our guide to AI training data providers compares the companies in each group.

Text is the easy part. The open web made it abundant, and most labs hold the same public text. Buyers pay the most for data that was never on the public web. Here's what's for sale today:

• Video (multi-camera footage, first-person task video, high-end animation). Our guide to licensed video data for AI covers what's available.
• Audio and speech (natural conversation and professional recordings). Our guide to licensed audio data for AI covers this market.
• Gameplay (hours of continuous play, used to train world models). Our guide to gameplay data for world models explains why labs want it.
• Robotics and physical AI data (real tasks filmed and recorded in the real world). Our guide to robotics training data companies compares the sellers.
• Business data (the records of how real companies run).

Business data is the newest category. Labs building AI agents want support tickets, CRM histories, project tools and code from real companies, and that demand is pushing prices up. Google bid 10 million dollars in bankruptcy court for Spirit Airlines' operating records, and our breakdown of the Spirit Airlines data deal explains why. At Troveo you can browse business data from more than 200 companies across more than 30 systems of record, permissioned, verified and ready to license. Our guide to enterprise operational data explains what this data is and why labs want it.

There's no public price list. Sellers price each dataset on how scarce it is, how specific it is, whether you get it exclusively, and what the license lets you do with it.

The public deals show the top of the range. News Corp and OpenAI agreed a reported 250 million dollars over five years. Amazon pays The New York Times a reported 20 to 25 million dollars a year. Shutterstock earned 104 million dollars from AI licensing in 2023 across five major buyers. A marketplace purchase costs far less, because you're buying one dataset and those deals bought whole archives.

Expect to pay more for scarce data, for exclusive rights, and for data with clean paperwork. Most sellers charge in one of four ways (a flat fee for a defined dataset, a price per hour or per asset, an annual license for data that keeps updating, or a revenue share). Our guide to AI training data cost covers the reported deals and what moves the price.

Check the rights first. A dataset with unclear rights is a legal risk you've paid for, and the AI training data lawsuits keep turning on how the data was acquired.

Ask every seller for four things:

• Rights documented for each asset. A blanket claim covering the whole catalog won't hold up.
• A license that names AI and machine learning training as a permitted use.
• Documents the seller can produce when you ask for them.
• Proof that the rights holders are getting paid.

Many buyers also ask for indemnification, which means the seller backs its rights warranties in the contract. A seller that hesitates on any of these is asking you to carry the risk. Our guide to rights-cleared training data explains the standard, and our guide to AI data provenance shows you how to verify where a dataset came from.

Most purchases follow the same five steps.

1. Write the brief. Name the modality, the scenarios, the volume, the formats, the metadata, and whether you need exclusivity. A vague request for "video data" gets you the generic data every lab already has.
2. Pick where to buy. Match the brief to one of the four routes above, then shortlist sellers that hold the data today. Ask what's in inventory, and treat a catalog page as a starting point.
3. Check the rights. Run the four checks above before you look at anything else.
4. Test a sample. Ask for a representative slice and run it through your pipeline. Look at quality, format, and whether the metadata is consistent. A seller that can't produce a relevant sample quickly probably doesn't hold much of that data.
5. Sign the license. Agree the training-use grant, scope, term, exclusivity, warranties and delivery. Make sure the license covers commercial deployment as well as research before the training run starts.

Buyers negotiate exclusivity and scope more than anything else. Exclusive data costs more, and it's data your competitors can't buy. Our guide to how AI data licensing works covers each term in the license, and our guide to exclusive vs non-exclusive data licenses explains the tradeoff.

First-time buyers tend to make the same four mistakes:

• They buy volume when they need something specific, and end up with generic data that changes nothing.
• They treat "publicly available" as cleared for training. Our guide to licensed vs scraped training data covers the difference.
• They skip the sample and find the format problems after signing.
• They ignore exclusivity, then watch a competitor train on the same data.

Troveo is a licensed data marketplace. We license real-world video, audio, gameplay, robotics and business data from more than 7,000 rights holders, 95 percent of them signed exclusively with us, and we've paid those owners more than 20 million dollars. Every asset is documented and cleared for AI training. You can browse our datasets, build your own in Troveo Lens, and ask for samples against your brief. We deliver the data cleaned, normalized and in the formats your pipeline uses, and you deal with one company and sign one contract. The quickest way to find out whether we hold the data you need is to tell us what your team is training, and we'll send you real samples.