This is not a thought experiment. Buyers are already writing checks for how real businesses operate.
The public internet is exhausted as training fuel. The next datasets are the ordinary records of running a business. We collect the coverage so a business owner can see the market without living on X.
Box CEO, quoting the Spirit Airlines data sale: AI is thirsty enough that data is valuable in almost any form. How a company manages and mines its organizational intelligence will decide competitiveness.
That is the category. Everyday operations are no longer exhaust. They are a line item - if someone can turn them into a package a buyer can actually purchase.
Micro1's CEO: not a short-term prediction. Frontier systems cannot self-learn without human data, and automating real work requires examples of how that work is actually done.
Demand-side thesis, not a quote for your business. A trillion-dollar market still needs someone to take a messy operation and make a licensable corpus. That is the job.
Court filings: Teams chats, email, operations records, code. Google said it was not buying customer or credit-card information. Mercor bid $7.5 million as backup.
Even in a fire sale, the valuable object is how the company ran - and the buyer still drew a line at customer PII. That is the line we hold on every package.
Warmly's CEO took four unsolicited offers for Slack, GitHub, and meeting records after a HubSpot deal. Labs want the work trail traditional acquirers leave on the table.
Interest is the easy part. Rights, employee privacy, and what you can actually license are the hard part. That is the work.
Their pitch: labs cannot learn enterprise work from the public web. They handle extraction and anonymization. No engineering team required on your side.
The buyer page is not the product. Someone still has to invent the package from a messy operation. That is Jottings.