How much is company data worth to AI companies?

Is there a standard price for company data?

No. There is no public price list for company records, so AI training data prices are set deal by deal: on what is in the records, who wants them and on what terms. If you are asking "how much is my company data worth?", the first answer is that it depends on what the records show, not how big they are.

How much do AI companies pay for data overall? Gartner estimates that annual spending on data for AI will grow from less than $1 billion in 2025 to almost $6.5 billion in 2027, as OpenAI, Anthropic, Meta and others build AI agents for office work, Business Insider reported. Prices are still unsettled, though. MIT Technology Review notes that no company has yet published tests comparing models trained on real company records with the alternatives, and that pricing reflects that uncertainty.

That is why our check does not end in a number. It tells you whether your data could qualify and what affects its value. It is not an offer or a valuation: value depends on how far back your data goes, the outcomes it shows and buyer demand, and you only get a real number after a review.

How much do AI companies pay for data?

Few contracts are public, and the ones that are mostly cover published content or very large archives, not the records of a typical company. These are the figures with a neutral source. Treat each as one data point, not a rate for yours.

• Content deals are not company records. Reddit and News Corp licensed published material that keeps growing, and Reddit's filing said its data is valuable because it "constantly grows and regenerates".
• The Spirit figure is for the records of an airline that ran for 34 years and once employed about 17,000 people, and the sale still needs a judge's approval.
• Headline numbers leave out terms. How long the licence runs, whether it is exclusive and what has to be removed all change what a figure means. Our guide to how AI data licensing deals are structured explains those terms.

What makes company data valuable to AI companies?

Size alone doesn't decide what records are worth. AI labs pay for depth: records that show how a business actually makes decisions, and what happened next. When we review a company's data, these are the things we look at first:

• Years of history: a long-running record shows how decisions played out over time, not just a single moment.
• Outcomes attached: closed deals, resolved tickets and paid invoices let a model connect a decision to its result.
• Reasoning written down: threads where people explain why they chose something, not only what they did.
• Specialist work: decisions from finance, legal and engineering teams are among the records buyers name most often.
• Tools that cover the same work: in our view, chat, email, tickets and CRM that record the same cases are worth more together than apart, because a model can follow a task from request to result.

What do AI companies say they want?

Buyers say much the same in public. OpenAI's Data Partnerships programme asks for large datasets "not already easily accessible online to the public today", and for data that "expresses human intention", such as long-form writing or conversations rather than disconnected snippets. Business Insider reported that fields AI companies are trying hardest to automate, such as law and accounting, see especially high demand.

Sector matters less than depth. In our view, a small firm with years of resolved tickets and explained decisions can hold more of what buyers want than a large one with a short, shallow record. Our guide to the company records AI companies buy goes through each record type, and our guide to who buys company data for AI covers the buyers themselves.

What lowers the value of company data?

The same things work in reverse. A few months of activity, gaps where old tools were switched off, or records with no visible result give a buyer less to learn from. Polished reports and final tables show the answer but not how anyone reached it.

Personal and client data lowers value too, because it has to come out. OpenAI says it is not seeking datasets with sensitive or personal information, or information that belongs to a third party. In the Spirit Airlines sale, about 97.5 million passenger profiles and 50.2 million loyalty records were kept out, and 121 members of Congress asked Google and Spirit to exclude employee information "to the greatest extent possible". Google has said it will not receive personally identifiable information and that an independent third party will scrub the data first.

Rights come before price. Data you hold on behalf of clients is out of scope, as is anything the company doesn't have the rights to, and customer or supplier contracts can limit what you may share.

How is the price of company data set?

Usually after the data has been seen. Nobody can judge depth, outcomes or how much has to be removed from a description alone, so the price follows a look at what is actually there. It tends to come down to four things:

• What is there: which tools, how many years, how many people and how the records connect.
• What is in scope: which sources, date ranges and uses are included. With Pangea.ai, you decide that before you sign.
• What has to come out: personal details, client data and anything the company has no rights to.
• The terms: how long the licence runs, what the buyer may do with the copy and whether it is exclusive. Business Insider reported lower demand for a codebase a rival lab already has. A buyer that wants records to itself is asking you to give up every other deal while it lasts, and in our view the price should reflect that.

How much is my company data worth, and how do I find out?

Start with the facts any buyer will ask for: which tools your team uses, how many years of history they hold, roughly how many people worked in them, and what would have to stay out. If you want to monetise company data, those answers matter far more than the file size.

That is what our free check asks. There is no commitment, and someone reads every answer, even if your data isn't a fit. We tell you whether your records could qualify and what affects their value. It's a licence, not a sale, so the data stays yours. Our main page explains how to sell company data to AI companies with Pangea.ai, step by step.