Do You Have Data You Can Sell to AI Labs? Come Find Out
Everyone assumes selling data means you need a warehouse full of it. Videos, Photos, +++ all have value today.
BY THE END OF THIS SESSION, YOU WILL KNOW
Who is actually buying, in plain terms and what are they buying and for how much. The five real buyer categories right now, and which one is most likely to want what you have.
What sellable actually means to a buyer. The difference between raw text and eval-grade, reward-model-grade material, and why that difference is the entire business.
How to run the audit on yourself. A five-question self-check on your own expertise and datasets, your company's records, or your community's collective knowledge, to find out whether there is a sellable asset in there at all.
What the deal actually looks like. Pricing logic, what buyers ask for in a pilot, and the kill-or-continue math that tells you fast whether a relationship is worth pursuing.
The compliance line you cannot cross. Where consent and data provenance break a deal that looked good on paper, and how to structure a data relationship so that is not an afterthought.
SOME OF THE QUESTIONS ON THE TABLE
If your company has been operating for ten years, what decisions has it made and where is it stored that a machine has never seen and would pay to learn from?
What is the difference between "we have a lot of data" and "we have data someone will pay for"? Most founders conflate the two.
Why does a five-person team with deep domain expertise sometimes have more to sell than a company with a massive but shallow dataset?
What does a frontier lab's buying team actually look at in the first five minutes of a pilot?
Who this is for: founders and operators who have been in business long enough to have real institutional judgment, community and association leaders sitting on collective expertise, and anyone who has heard "data is the new oil" and wants to know whether that applies to them specifically.
We keep these rooms small on purpose. Honest conversation needs a small room. Grab your spot before it is gone.
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