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How Much Do AI Companies Pay for Company Data?
AI companies pay for company data case by case, not by a fixed price. Here is what sets the value, the public reference points, and how licensing works.
AI companies pay for business records case by case, and no published price list exists. According to Troveo, public reference points run from about 5,000 dollars for a single code repository to tens of millions for a large company's archive. Where a given company lands depends on what its records contain and how useful they are for training, not on the size of the pile.
What the public numbers do and don't tell you
The range is wide because the deals are different. A single code repository, a set of support tickets and a decade of project files are not the same product. Buyers are paying for specific, hard-to-get material that helps an AI agent do a real job, so the same file count can be worth very different amounts.
The public figures are reference points, not quotes. Nobody can tell you your number from the outside. Troveo makes the same point: a company's value can only be judged once someone sees what it holds.
What sets the value
Buyers tend to look at a few things:
| Factor | What buyers look at | Why it matters |
|---|---|---|
| Uniqueness | Is this information others can't easily get? | Generic data is cheap. Specialized data is scarce. |
| History | How many years of records exist? | Long, consistent records show how work was done over time. |
| Context | Are records linked? Do tickets, projects and customers connect? | Connected data teaches an agent how a process runs end to end. |
| Format | Text, code, CAD, lab logs or CRM history? | Each format serves a different kind of model. |
| Cleanliness | How much work is needed before it can be used? | Less cleaning work usually means a stronger offer. |
Troveo's guide makes a point worth keeping in mind: a 40-person firm with a decade of specialized operational records can hold more training value than a 4,000-person company with generic data. Headcount is a weak guide on its own.
Why company size is a poor guide
Many owners assume a bigger company means a bigger check. In practice, the factors above matter more. As Troveo notes, the same factors apply whether a company has 50 employees or 5,000. A smaller firm with deep, specialized history can be a better fit for a particular buyer than a large firm with generic records.
That said, buyers who take smaller companies often pay less. If your company is under 30 employees, that is an honest limit, and it is worth knowing before you start.
How data licensing works
Data licensing means a company grants a buyer the right to use a copy of its records for a defined purpose, usually training an AI model. The company keeps ownership of the original. Licensing is different from selling the business or handing over the systems.
A sound deal usually covers:
- Which records are included, and which are left out
- Who the buyer is, and whether you approve them
- How names, contact details and account IDs are removed before anything is shared
- What the buyer may do with the copy, and for how long
You should ask a lawyer to review any agreement before signing. No service can promise legal or compliance approval for your situation.
How the money usually moves
In a matched deal, the buyer pays a fee to the matching service, and the company is not charged to be listed. Timing varies. Plan on one to three months from the first call to payment, with payment usually arriving a few weeks to two months after signing.
A real figure only comes after a buyer reviews a sample of your records. Any number given before that is a guess.
Where Smelted fits
Smelted is a free matching service. It lists a company's data anonymously for AI labs and data buyers, the company chooses what is included and which buyers it meets, and the company approves each one. The company pays nothing. The buyer pays Smelted's fee.
Smelted also gives a ballpark range once it knows what kind of records a company has. The range depends on headcount, years of records and how connected the data is, and it is not a promise.
If you want to see whether your records fit, the two-minute form at https://smelted.ai/get-started collects your headcount, tools and history. Companies with 50 or more employees can also book a short call at https://calendly.com/smelted/intro-call.
How to start
- List the systems where your records live, such as Zendesk, Jira or GitHub, Salesforce or HubSpot, or your design and lab tools.
- Note how many years of history each one holds.
- Ask whether those records are linked to each other.
- Decide what you would and would not share. Keep your own list of exclusions.
- Get an independent review before you sign anything.
FAQ
How do you sell your data to AI companies?
You usually don't sell it outright. You license a copy for a defined purpose and keep ownership of the original. Start by listing your systems and the years of records each holds. Then decide what you are willing to include. A matching service can introduce you to buyers, but you should still review any agreement with a lawyer.
What is AI data licensing?
AI data licensing is an agreement that lets a buyer use a copy of your records to train an AI model, within limits you set. The terms cover what is included, who the buyer is, how personal and identifying details are removed, and how long the copy can be used. The company keeps ownership of the original records.
How much money do companies get for selling your data?
It varies widely. Public reference points run from about 5,000 dollars for a single code repository to tens of millions for a large company's archive, according to Troveo. Your own number depends on what your records contain. It is best judged after a buyer sees a sample.
How much do AI companies pay for data?
There is no standard rate. Prices are set deal by deal, based on uniqueness, history, context and how much cleaning the data needs. Headcount alone does not decide it. The clearest answer you can get comes from a review of your actual records.