micro1 pays a one-time fee to license an anonymized snapshot of the documented processes a company already runs on. On their own site they publish three tiers:
micro1 describes those as indicative rather than quotes — the final figure depends on the data sources, volume, quality, uniqueness and access terms. They publish a calculator that gives a company its own estimate; the link below is the way to reach it with credit attached.
It is not a job, not a loan, and not a sales pitch for a product. There are no ongoing obligations either — no targets to hit, no milestones, nothing recurring. It happens once.
Freight margins are tight right now. This is a one-time payment that doesn't depend on loads, rates, or volume — cash that doesn't care your margins are squeezed.
Why they want it: models are good at short tasks and bad at long ones that cross several systems — the kind of work your team does all day. That isn't on the internet to learn from, which is why they're buying it from companies instead. Their founder notes that contributors' own workflows end up better represented in what gets trained, and improved as a result.
Who they're looking for:
If that number sounds made up, the market behind it isn't. Meta paid roughly $14.8 billion for a 49% stake in Scale AI — a company whose entire product is AI training data. OpenAI has licensed news archives for up to $250 million over five years. Both are easy to check. Operational data from ordinary companies is the part of that market nobody has bought yet.
A short assessment, then micro1's team evaluates whether the data is a fit, then a discovery call. An agreement only comes after that.
If you decide to move forward with this offer, please make sure to apply through the link below — that's the only way I get credit for bringing it to you.