Jottings review: what sellers actually get

Its ads target firms of 20+ people, yet the site sets no staff minimum. It names law firms, roofers, restaurants, cleaning companies, hospitality groups and a 70-person mortgage firm as examples, and says many companies will not qualify.

Data goes to AI data companies, which then supply labs. Its launch release says it is building partnerships with firms that supply data to leading AI companies.

Jottings quotes market ranges from $100K for specialized histories to $1M+ for rare data. A $173,163 deal appears in its ads. The About page explains that figure was the founder's own payout, from licensing his former company's data.

Its homepage also runs a feed of "recent valuations" such as a Texas mortgage firm offered $750K to $1M. None of those firms or buyers is named, so treat them as marketing.

Nothing is due upfront, and if no deal closes you pay nothing. A closed license costs you 20% to 30%. With revenue-share deals that cut comes off each payment, for as long as payments continue.

Its site terms put the question of whether you have the right to license on you and your own counsel, and ask you to cover Jottings against claims from people in your data. The license itself is between you and the buyer, signed through an e-signature service.

Many buyers charge sellers nothing. An agent can still be worth it if it gets you a higher price, so ask what you would net after the fee.

Jottings now pays introducers 25% of its own fee when a company they introduce closes a license, which it says works out at typically 5% to 7.5% of the sale. Introductions recorded before 7 October 2026 keep its older 10%-of-sale terms. The payment comes out of Jottings' fee, not the owner's proceeds.

Jottings is a seller's agent. It does not buy data. It finds the useful operating history in a company's tools, writes missing SOPs, runs privacy checks, packages the result and runs the sale to AI data companies, taking a success fee from the proceeds. It also gives away SOP and readiness tools to owners who are not ready to license yet.

1. 1

   Two-minute form

   Questions on tools, years operating, headcount, records and ownership. You get a read of strong, possible or too early.

2. 2

   Audit and fee

   If it looks strong, a deeper audit at no cost. Jottings recommends the fee tier and agrees it in writing before work starts.

3. 3

   Prepare and approve

   You give access and context. Jottings inventories the data, writes missing SOPs, flags personal data, and you approve the scope.

4. 4

   Find the buyer

   Jottings prepares buyer materials, finds an AI data company and runs diligence.

5. 5

   Sign the license

   You sign an NDA or letter of intent and then the license, by e-signature. The license is between you and the buyer.

6. 6

   Get paid

   The buyer pays on net terms after acceptance, and Jottings takes its fee from the proceeds.

Jottings suits an owner who wants an agent to run the process and is comfortable paying a success fee. Compare its expected net with a direct offer from a buyer that charges nothing.

We run the same checks on every buyer we rank. They take an afternoon and they protect the one thing you cannot take back: the copy of your records.

• Find the legal entity. A registered company name, an address and at least one named person. A Facebook form alone is not enough.
• Get the offer and the contract in writing before any export. A sample agreement tells you more than a sales call.
• Ask who strips personal data, how, and when. You should approve the method and see a sample before anything leaves your systems.
• Ask where the data goes. Which AI companies receive it, whether you are told, and whether it can be resold.
• Ask how everyone is paid. By you, by the buyer, or out of your deal. Referral fees are normal; hidden ones are not.
• Get a second quote. Terms from at least one other buyer is the fastest way to know if an offer is fair.