Seller intent

How much your company data could be worth

Last updated October 26, 2026/Seller intent

There is no single price for "company data." What the records might be worth in a license depends on what they show, how long you have kept them, whether you can grant the use, and whether a buyer actually wants that shape of work. Two firms in the same industry can land in different places. A headline cannot see the difference.

The honest public ceiling on this site is that your company's data could be worth up to $5M+. That is the top of a wide range, not your number. The free check turns a few questions into an estimate. Estimates are not offers. Nothing is licensed without your approval, and many checks end with "not a fit."

If the question is really "what would a license even be," read what AI data licensing means for a company first. This page stays on the worth question: which facts move an estimate, and which facts people confuse with a price.

Why "how much" is the wrong question if it is the only question

Buyers are not shopping for a terabyte. They are shopping for a kind of work they cannot scrape. Operating history can matter because it shows decisions, exceptions, and results. A large archive of duplicates, or a short archive with no outcomes, can be worth little even when the disk is full.

So the worth question breaks into pieces. How much history. How specific the work is. How cleanly it can be reviewed. How constrained the rights are. Demand comes last, and we do not pretend to know a buyer's budget from a web form.

What actually moves an estimate

These are the factors the review weighs. They are not a formula you can multiply into a dollar figure on a napkin.

• Scale of the operation. Headcount is a rough signal of how much digital work a company produces. We are built for established companies, usually about 50 or more employees.
• Digital history. How many years of records still exist, and whether they were kept on purpose.
• Who produces the work. A team that writes, decides, and updates systems every day leaves a different trail than a team that does not.
• Volume with structure. Email, tickets, projects, and documents count more when they can be told apart.
• Uniqueness. A process an outsider could not reconstruct from public pages.
• Readiness. Whether someone can explain where the records live and export a defined slice later, if you approve it.
• Rights. A high score on every other factor still fails if the company cannot license the material.

What the index is, and what it is not

The Business Data Value Index shows illustrative benchmarks by industry and company size. The page labels them as benchmarks, not as offers and not as your result. Use them to see the kind of spread that exists. Do not treat a row in that table as a quote. Your estimate comes from your answers, not from your industry's row.

What pulls an estimate down, or ends it

Short history, heavy duplication, no outcomes, and records nobody can trace. Personal data, health details, or payment numbers that cannot be removed without gutting the set. Contracts that give a vendor or a customer control of the export. A team under the size this marketplace is built for. Any one of those can matter more than a big file count.

A promised timeline also does not belong in the number. We do not say a price will appear in a set number of hours. If there is interest later, you see it before you decide. If there is no interest, the estimate was still only an estimate.

How the free check relates to a later number

The free data value check is two short pages of questions. No upload. No system access. Nothing confidential has to be pasted in. You get a range, not a term sheet.

1. You describe the business, the history, and the kinds of records you keep.
2. We return an estimate. It is not an offer and it does not reserve a buyer.
3. If you continue, qualification and a Data Partnership Profile come next. Buyers would see the profile, not the files.
4. A real commercial conversation, if one starts, is a separate step you can decline.

Illustrative example, not a customer and not a result: a 90-person specialty manufacturer and a 90-person staffing firm can share a headcount and still differ. One may have fifteen years of process changes with outcomes. The other may have a short, messy export and contracts that block reuse. The check exists so those differences show up before anyone talks about a license.