Can I Sell My Company's Data to AI Companies?

Can you sell your company's data to AI companies?

You can license it, which is how almost every one of these deals is structured. Your company keeps ownership of its records and grants a buyer the right to use them to train and evaluate AI models, in exchange for a fixed payment.

Buyers started paying for this as AI labs moved from chatbots to agents that do jobs: scheduling crews, building quotes, answering customers, closing the books. Training an agent to do that well takes records of how working companies actually operate, including the messy parts, and those records do not exist on the public web. So buyers have started paying the companies that hold them.

micro1 committed $1 billion over twelve months to buying and licensing company data, financed by Citi and Hercules Capital, according to The Next Web in October 2026. MIT Technology Review reported on October 13, 2026 that SimpleClosure's Asset Hub, which sells the records of shut-down startups, had handled more than 150 deals and expected to return more than $10 million to founders by the end of the year, and that Google paid $10 million for Spirit Airlines' internal records in bankruptcy (MIT Technology Review, 2026).

You don't have to change how you work, because the records a buyer wants are ones your business has been producing for years.

How much do AI companies pay for business data?

AI companies pay from the tens of thousands to several million dollars, and where a company lands depends on how many years of records it has, how many systems they span, and how much of the reasoning behind its work they show.

The buyers below publish their ranges and entry requirements on their own program pages. We read each page on October 27, 2026. Headline figures are ceilings or illustrations, not quotes, and every buyer sets its price after reviewing what you have.

Every buyer in this table is read side by side, with exclusivity and payment terms, in which AI company pays the most for business data. Smaller companies do get paid. A 14-person HVAC firm received about $150,000 from data-labeling startups, as reported by The Information and summarized in Onfolio's October 2026 comparison of data buyers. Treat that as the upper end for a company that size rather than the typical result.

What kind of company data do AI companies want?

AI companies want the everyday operating records of an established business, especially the ones that show how decisions get made. Job histories, estimates, invoices, support tickets, CRM records, project files, SOPs, training manuals and internal email are the core of what buyers ask for.

The reason is how the data gets used. Buyers build simulated workplaces, often called reinforcement learning gyms, stocked with a real company's records so an AI agent can practice doing the work and be scored on it. MIT Technology Review reported in October 2026 that buyers such as Surge AI use companies' emails, chats and documents to build these gyms. A record that shows why a job was priced a certain way, or why a schedule was moved, teaches an agent more than a clean list of completed jobs.

Three things raise the price: how far back the records go (ten years of estimates beats two), how many systems they span, and how much of the reasoning behind decisions they show. Mercor says plainly that connecting more tools generally results in a higher payout. Polyshares says on its own site that the length and texture of the record matter more than headcount or revenue.

Your records don't need to be tidy. An old-fashioned business with years of inconsistent records is often more useful to a buyer than a tidy one, because real work is untidy and the agent has to learn to handle it.

Are you selling your data or licensing it?

You are licensing it, and you keep ownership, but some licenses last forever and a trained model cannot forget what it learned. Those two facts belong together, and an owner should hear both before signing.

micro1 states that companies retain ownership of their underlying data, and Labelbox says sellers keep full ownership and continued use of their records. Ownership means you can keep using your own records and, under a non-exclusive license, license them again to someone else.

The term is the part to read twice. Some licenses are perpetual and irrevocable, which means the buyer keeps the right to use the data indefinitely. Labelbox, which gives sellers a 30-day deletion clause, still notes that models already trained on the data cannot be unlearned. Once a model has learned from your records, ending the license stops future use but does not undo past training.

What happens to the files and to the model after signature is covered in what happens to your data after you license it. Exclusivity is the other lever, and we work through the trade in exclusive versus non-exclusive AI data licenses. Labelbox Prism structures most of its deals as exclusive by default. An exclusive license pays more but stops you licensing the same records to anyone else. A non-exclusive license pays less per deal and leaves the door open. Decide which you want before you apply, because signing an exclusive deal with the first buyer closes off every other one.

What company data should you never license?

Never license data that is not yours to give: material you hold under a client contract or NDA, and personal information about customers or employees that cannot be cleanly removed. Polyshares says on its own site that material governed by a client master agreement belongs to the client, regardless of its value, and cannot be licensed.

The usual exclusions are client files and anything covered by a confidentiality clause, which matters most for accounting firms, law firms, agencies and anyone with government or school district contracts. HR records, performance reviews, payroll and benefits are next. Labelbox excludes these by default. Health information is another, because patient data brings HIPAA into the deal and only a few buyers have the de-identification process to handle it. The last is recorded calls without all-party consent, which some states, Illinois and California among them, require before a call can be recorded at all.

Buyers strip names, phone numbers, addresses and other identifiers before any AI lab sees the data. Mercor says its extraction and anonymization is automated and that no lab or third-party vendor sees your raw data. That covers names and contact details, but it doesn't make a client's confidential file yours to license.

The rights, privacy and employee rules behind these exclusions are in is it legal to sell your company data to AI companies. The practical step is an inventory before you apply: list each system, what it holds, and what should stay out. Buyers expect a written exclusion list, and having one ready makes the first call faster.

How long does it take to get paid for licensing company data?

Most companies are paid two to four months after the first call, and the slowest part is usually the company's own side: finding records, granting access and approving terms.

The buyers publish their own payment terms. Mercor says payment typically arrives two to four weeks after the agreement is signed, depending on extraction and processing. micro1 says it has 30 days to review and approve delivered data, and pays within 30 days of the invoice. Polyshares pays net 30 to 60 days after approval, sharing and anonymization are complete. Labelbox Prism pays an upfront fee at signing plus a revenue share.

The steps in between are similar everywhere. There is an intake form or call, a scoping conversation about which systems and records are included, an offer, a signed license, delivery through read-only connectors or exports, a review period, and payment. Deals tend to stall in the middle, while the owner waits on the office to pull access or on an attorney to read the license, rather than at the start or the end.

A deadline from a buyer is worth pushing back on. Onfolio's October 2026 comparison cites reporting of 48-hour exploding offers in this market. A real buyer will give you time to read the license.

Frequently asked questions

Related resources

• How BLACKSIG helps companies license their data
• What is an AI audit?
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