If you run a parts maker, a supplier, an automotive engineering team or a dealer and service group, the design files, test results, production records and warranty claims you've built up over the years are work AI labs want their models to learn from. Automotive companies are one of the kinds of business we're looking to work with. Read on to find out why, what in your company you can license, what has to stay out, and how the process runs.
Why AI labs want automotive work
Buyers pay a premium for full company datasets from industries built on high-value knowledge work, and the engineering work inside an automotive company is on that list. A part goes from a drawing to a prototype to a test rig to a production line, and every step leaves a record. Almost none of that is on the public internet. Your company holds years of it, with the reasoning behind each decision and the result of each one.
Our guide to who buys company data for AI training covers the four kinds of buyer and how you reach them.
What GDPval shows about automotive work
OpenAI's GDPval benchmark, published in September 2025, shows which jobs labs measure their models against. It tests AI models on real tasks from 44 occupations across the nine sectors that each contribute more than 5 percent of US GDP. Manufacturing is one of the nine, and all five of its occupations are jobs you'll find in an automotive plant or supplier. They are mechanical engineers, industrial engineers, production supervisors, buyers and purchasing agents, and shipping, receiving and inventory clerks.
OpenAI built each task from the work product of a working professional. Those professionals average 14 years of experience, and a task takes an expert about seven hours to complete. OpenAI also reports that models perform better when they get more context about a task, and your design and production records hold that kind of context for real work.
Work that can be checked is the easiest to license
Buyers tell us that the more objectively a piece of work can be checked, the more readily they license it. Automotive work is checked at every stage. A part passes its test or it fails. A production run hits its defect rate or it doesn't. A warranty claim is approved or denied, and the repair record shows what was wrong.
That matches what buyers pay for in every industry. Records that show an outcome are worth more than records that don't, and automotive records carry their outcomes with them. Our guide to how much your company's data is worth to AI labs covers the six factors behind the price.
What an automotive company can license
| What you hold | What it shows | What has to come out first |
|---|---|---|
| CAD models, drawings and specifications | How a part takes shape, revision by revision | Designs and specifications your customers own |
| Test and validation records | Whether the part did what the design said it would | Anything covered by a confidentiality agreement |
| Production and quality records | How the line ran, what went wrong, and what was done about it | Supplier pricing covered by a confidentiality agreement |
| Supplier and purchasing records | How your buyers pick a supplier, and how the order turned out | Supplier names and rates you agreed to keep confidential |
| Warranty, service and repair records | What failed in the field, why, and how it was fixed | Customer names, addresses and vehicle identification numbers tied to an owner |
| Engineering and operations email and chat | The reasoning between the records | Personal details, and anything unrelated to the work |
The value is highest where these connect. A drawing linked to the test that validated it, the production run that built it, and the warranty claims that came back is a complete record of how your company makes a part and learns from it. Our guide to how engineering firms can license their data to AI labs covers the design and test side in more depth, and our guide to how logistics companies can license their data to AI labs covers the supply chain side. If your team writes vehicle software or firmware, our guide to what kind of code AI labs pay for covers that.
What has to stay out
You decide the exclusions before anything is exported:
- Designs, specifications and test data your customers own. If you built the part under a supply contract, check who owns the records before you include them.
- Standards and vendor data you license from someone else.
- Export-controlled technical data.
- Supplier rates and anything else you received under a confidentiality agreement.
- Current programs you want to protect. Many companies start with retired platforms and completed programs.
- Customer names, addresses, vehicle identification numbers tied to an owner, and driver data tied to a person, which are replaced with pseudonyms to a documented standard.
- Credentials and access details.
This isn't legal advice, and your counsel should review the scope before anything is exported. If most of your work is done for customers, our guide to what agencies and consultancies can license to AI labs covers what you own and what your clients own.
What it's worth
Typical full-company licensing deals start at six figures, and buyers pay a premium above that for engineering-heavy work. There's no rate card, and a real number takes a scoping call. One public reference point is Spirit Airlines, whose operating records drew bids of 10 million and 12.5 million dollars in bankruptcy court, and that package included years of maintenance records. Our breakdown of the Spirit Airlines data deal covers what was in it.
How the process runs
Licensing through us runs in four stages:
- Scope. You take the assessment, we hold a short scoping call, and you decide what's in and what's out.
- Agree. You review and sign standard terms covering your license and your earnings.
- Package. You export the records with our guidance, and we replace names and personal details with pseudonyms, document what's included in a manifest, and get it ready for buyers.
- Get paid. Buyers evaluate the data without knowing whose it is, and you're paid on every sale.
You keep ownership the whole way through, and your company is never named publicly. Our guide to how long it takes to license your company's data covers the timeline and what buyers check, and our owner's guide to licensing company data for AI covers the full process.
Where to start
The quickest way to find out what your company's records could license for is to take our free data value assessment (ten questions about your systems, history and industry, about five minutes). You get an estimate, and a scoping call after that gets you a real number.
Where Troveo fits
Troveo is a data licensing marketplace. We work with more than 40 active buyers and we've paid rights holders more than 20 million dollars. You sign one license, you decide what's in and what's out, we handle the packaging and every buyer conversation, and you're paid on every sale with no fees and no deductions. Start with the data value assessment, read our business data page for how the process works, or talk to us about what your company holds.