How much is my company data worth? A plain guide to data valuation
How much is your company data worth? Learn the three ways buyers value business data, the six things that raise or cut the price, and how to estimate yours.
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AI developers now pay to license company data for training. Learn what data they buy, what makes it usable, how the deals work, and the risks to weigh first.
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AI developers now pay to license company data for training. Learn what data they buy, what makes it usable, how the deals work, and the risks to weigh first.
AI companies used to train their models on whatever they could take from the public web. Now many pay for data instead.
Two things changed. Lawsuits over scraped content made free data risky. The New York Times sued OpenAI and Microsoft in 2023, for one. And the public web has little left to offer in specialized fields.
The result is a real market for AI training data. If your company holds the right kind, here is what buyers want.
Training data is worth money when it teaches a model something it can't learn elsewhere. That usually means:
A plain contact list is rarely worth much for training. Depth and expertise are what sell.
Buyers check four things before they talk price.
Buyers will ask where the data came from. They will ask what your customers and staff agreed to. They will ask if a vendor, partner or creator has a claim on it.
If you can't answer cleanly, the deal usually ends here.
Most training deals require personal information to be removed first. Deleting names is not enough. Emails, phone numbers, account numbers and details hidden in free text must go too.
This takes time and money. Buyers price it in.
A model learns patterns. Messy data teaches the wrong ones. Buyers want one format, accurate labels and a clear note of what each record holds.
There is no fixed minimum. A few thousand expert answers in a narrow field can be valuable. Millions of near-copies may not be. Buyers judge volume by how hard the data is to find elsewhere.
There are three common shapes:
Read the contract as closely as the price. Check three things:
Your rivals may benefit. A model trained on your know-how helps everyone who uses it, competitors included.
Your customers may object. Even if your terms allow it, customers may not expect their chats to train an AI. In early 2024 the FTC warned that quietly changing terms to allow AI training could be unfair or deceptive.
Secrets can leak. Internal documents hold prices, partner names and trade secrets. Removing personal details does not remove those.
You can't take it back. Once a model learns from your data, that learning is hard to undo. Treat any license as permanent in practice.
Often, yes. You need to own the data, have the right to license it for training, and remove personal information. Check your customer contracts and privacy policy first.
It varies with how specialized, clean and well documented the data is. Public deals like Reddit's prove the market is real. But most deals are private, so you need an estimate based on your own data.
In most cases, yes. Buyers usually require it. Privacy laws may require it too.
It depends on what your customers agreed to and where they live. Read can I sell my company's customer data? and talk to a lawyer before you sign.
Want to know what your data could earn? Get a free estimate of your company data's value.
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