If you run a plant, a contract manufacturer or a product company with its own production, the work orders, quality records, maintenance logs and process documents you've built up over the years are work AI labs want their models to learn from. Manufacturers 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 manufacturing work
Buyers pay a premium for full company datasets from industries built on high-value knowledge work, and the engineering work inside a manufacturer is on that list. Running a line is a long run of decisions. Someone sets the process, someone catches the defect, someone decides whether to stop the line or let it run, and someone fixes the machine at 2 a.m. Almost none of that is on the public internet, and your company holds years of it with the outcome of every decision on record.
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 manufacturing 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 every one of its five occupations is a plant job. They are first-line supervisors of production and operating workers, buyers and purchasing agents, shipping, receiving and inventory clerks, industrial engineers, and mechanical engineers.
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 production and quality 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. Manufacturing work is checked on every shift. A part passes inspection or it fails. A run hits its yield or it doesn't. A machine comes back up after the repair or it goes down again.
That matches what buyers pay for in every industry. Records that show an outcome are worth more than records that don't, and plant 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 a manufacturer can license
| What you hold | What it shows | What has to come out first |
|---|---|---|
| Work orders and production records | What was built, when, on which line, and how the run went | Products built to a customer's design, if the contract says the records are theirs |
| Quality and inspection records | What passed, what failed, and what was done about it | Customer names and part numbers covered by a confidentiality agreement |
| Maintenance and downtime logs | What broke, why, and how it was fixed | Vendor service terms you agreed to keep confidential |
| Process documents and work instructions | How your plant does the job, step by step | Licensed standards and vendor documentation |
| Purchasing and supplier records | How your buyers pick a supplier, and how the order turned out | Supplier pricing covered by a confidentiality agreement |
| Shift notes, email and chat | The reasoning between the records | Personal details, and anything unrelated to the work |
The value is highest where these connect. A work order linked to the inspection that caught the defect, the maintenance log that explains it, and the process change that fixed it is a complete record of how your plant learns. Our guide to how engineering firms can license their data to AI labs covers the design and test records that sit upstream of the line, and our guide to how logistics companies can license their data to AI labs covers the shipping and inventory side. If you make parts for vehicle makers, our guide to how automotive companies can license their data to AI labs is written for you.
What has to stay out
You decide the exclusions before anything is exported:
- Records that belong to your customers. If you build to a customer's design under contract, check who owns the production and quality records before you include them.
- Standards and vendor documentation you license from someone else.
- Export-controlled technical data.
- Supplier pricing, vendor service terms and anything else you received under a confidentiality agreement.
- Current product lines and processes you want to protect. Many plants start with retired lines and completed programs.
- Names and personal details of employees, customers and suppliers, 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 production 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 plant'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 plant holds.