Seller-side guidance for the AI data market
DataDeals helps companies figure out whether their proprietary data has commercial value, what buyers may want, and how to license it on good terms.
About 2 minutes · No raw data upload
We work for the seller.
This is still a young market. A company might have ten years of support tickets, engineering history, work orders, sales conversations, or internal operating records and have no idea whether any of it is valuable.
Meanwhile, the buyer often knows exactly what it is looking for.
DataDeals exists to close that gap.
What we do
We help companies answer four questions:
- What do we actually have?
- The useful asset is rarely “our Slack data” or “our CRM.” It might be years of customer problems tied to resolutions, technicians diagnosing equipment failures, or engineering decisions connected to code changes and outcomes.
- Is anyone buying this kind of data?
- We look at current buyer demand, active programs, reported transactions, and the specifics of the asset.
- Can we license it?
- Rights, privacy, contracts, employee or customer information, and third-party content can all affect what can be included.
- How should we take it to market?
- If there is a real opportunity, we help define the asset, position it, approach relevant buyers, compare terms, and support the transaction.
Sometimes the answer is that there is not enough value to pursue. That is useful too.
Read how DataDeals assesses and takes an opportunity to market.
Why seller-side matters
This market is still opaque.
There is no clean price list for proprietary company data, and the public examples that do exist are easy to misread. A published buyer range, a rejected offer, a completed transaction, and a bankruptcy bid are not the same thing.
We try to make those distinctions clear.
If we show a number, we should be able to explain where it came from and what it means.
And if a buyer approaches you directly, our job is to help you understand the offer from your side of the table.
How we get paid
Our standard seller-side pricing is simple.
- Initial assessment
- Free
- 20-minute Data Opportunity Review
- Free
- Upfront fee
- $0
- Monthly retainer
- $0
- Success fee
- 10% of seller cash proceeds
- Maximum success fee
- $100,000
- No completed transaction
- $0
If DataDeals receives compensation from a buyer or referral partner on the same transaction, we disclose it and credit it against the seller’s fee.
No double-dipping.
Outside legal, privacy, tax, accounting, or technical work is separate and requires seller approval.
How we research the market
DataDeals tracks the market using:
- current buyer and data-partnership programs;
- reported offers and transactions;
- public filings where available;
- independent reporting;
- direct market conversations;
- the characteristics of the company and data being evaluated.
We separate different kinds of evidence rather than blending them into one fake “market price.”
That same approach is used in our guides and calculator.
See how company data is valuedWho runs DataDeals
DataDeals was founded by Ola Rask, an operator with a background in building and running technology businesses.
His career has focused on operations, commercial systems, and turning messy business problems into practical processes. More recently, that work has moved heavily into AI and the question of how companies can capture value from assets they already have.
DataDeals started with a simple observation: most of the infrastructure around the AI data market was being built for buyers.
Very little was being built for the companies on the other side of the transaction.
That is the side DataDeals is for.
Start with your company
You do not need to know whether your data is valuable before reaching out. That is the question we help answer.