If you searched "how to sell data to AI companies," you already understand something most businesses have not caught up to: the data your company generates every day has become an asset someone will pay for. AI labs spent the last two years signing licensing deals that run from tens of thousands of dollars to a quarter billion, and the buying has moved well past famous publishers. Creator video catalogs, call recordings, gameplay footage, support tickets, even a defunct airline's internal archive have all drawn real bids. This guide covers who is buying, what actually sells, what it pays, and how to get started without a data team.
Who buys data, and why now
The buyers are AI developers: the frontier labs, the model companies behind voice and video products, robotics and physical AI startups, and enterprises training their own systems. Their problem is that the public internet, the raw material for the last generation of models, is scraped out and legally radioactive, with courts finding liability in unlicensed acquisition. So labs now pay for what they cannot scrape: authentic, rights-cleared, real-world data. Our guide to where AI labs source training data covers the sourcing landscape in full; the short version is that licensed data went from an afterthought to a standard procurement channel, which is exactly why sellers have leverage they did not have three years ago.
What actually sells
| What sells | Why buyers pay for it |
|---|---|
| Real-world video | World models and physical AI need footage of real life, not polished stock |
| Voice and audio | Voice agents need natural conversation across accents, settings, and noise |
| Gameplay footage | Interactive environments at scale, the raw material for world models |
| Robotics and first-person video | Task demonstrations teach machines how physical work actually gets done |
| Business and operational data | Agentic AI learns from real workflows, decisions, and their outcomes |
| Content catalogs | Text, images, and music with clean rights fill modality gaps labs cannot scrape |
The newest category on that list is the one most companies overlook: business and operational data. Support tickets, CRM histories, project records, transaction logs. It reads as exhaust to the company that produced it, but to a lab training agentic AI it is a record of how real work gets done, complete with outcomes, and demand for it is climbing fast.
What data sells for
There is no public price list, but the disclosed deals sketch the range: News Corp's catalog went to OpenAI for a reported 250 million dollars plus over five years, Google pays Reddit around 60 million dollars a year, Shutterstock earned 104 million dollars from AI licensing in a single year, and Spirit Airlines' operational archive drew a 10 million dollar bid from Google in bankruptcy court. Most sellers are not News Corp, and marketplace licensing prices well below headline deals, but the same factors move price at every scale: scarcity, exclusivity, clean rights, and training readiness. Our full breakdown of what AI training data costs covers those factors from the buyer's side; as a seller, they are your value levers in reverse.
Selling usually means licensing
One reframe saves sellers a lot of confusion: in almost every case you do not sell your data, you license it. You keep ownership, and you grant a defined right to use it, for defined purposes, for a defined period, exclusively or not. That distinction is where the economics live. A non-exclusive license can be sold more than once, an exclusive one commands a premium, and terms around permitted uses and model types matter as much as the headline number. It also means privacy and rights work happen before anything ships: personal identifiers get removed, and anything your customers or contracts do not permit stays out of scope. The step-by-step process, from data inventory through rights review to deal structure, is covered in our owner's guide to licensing company data for AI.
How much is your data worth?
Honest answer: it depends, and anyone quoting a number without seeing what you hold is guessing. Value comes from scale and history (years of accumulated records beat a fresh export), uniqueness (data that exists nowhere else), context (records that connect across systems tell a fuller story), visible outcomes (workflows where you can see what happened next), and rights cleanliness. The fastest way to get a first read is Troveo's free data value assessment: nine questions, about five minutes, and it scores the AI-training value of what your company holds, no technical work required.
Where Troveo fits
Selling data on your own means finding buyers, negotiating terms, and handling packaging and privacy yourself, which is why most owners go through a marketplace. Troveo has paid out more than 20 million dollars to over 7,000 rights holders licensing video, audio, gaming, robotics, and now business data to AI buyers. The model is built for owners: you set the terms, personal identifiers are removed to a documented standard, and you get paid as your data licenses. Start with the data value assessment to see what you have, or talk to us directly.