Find where your model fails. Then close the gap.
Every product is cut from the same records: real decisions by frontline workers, confirmed by what happened. Start with measurement. It is useful whether or not the data teaches.
Four steps. Start at any of them.
- 01
Measure · Private floor test
Your checkpoints on held-back real factory calls, with frontline workers’ score as the bar. Re-run on every release.
- 02
Close · Data shaped to the failures
Records scoped to where your model broke, in the shape your training method takes.
- 03
Prove · A lift study
On your model or an open one, against the written rules, synthetic scenarios and expert labels. Reported with the arms that lost.
- 04
Aim · Capture pointed at your gaps
Your failure map becomes next month’s collection plan.
What you can license
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Failure map
Where your model goes wrong, by trade and decision type, and what to license next.
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Worked decisions
Situation, decision, the worker’s reason in their own words, the rule that applied.
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Override pairs
The AI said one thing. The worker did another. Reality picked the winner.
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Decisions with signals
The call, with machine, environment, material and voice recorded at the same moment.
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Trade packs
Ready-made sets per trade, so you can start without a custom contract.
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Aimed capture
New capture pointed each month at the decision types where your model is weakest.
Licensed, not sold.
Every record carries proof of the worker’s consent, proof of payment and a fingerprint that shows if it was changed. Customer, order, factory and worker identity are removed before you receive it.
The frontline worker who created the record keeps 50% of every licensing dollar.
Talk to us
License data. Run a pilot. Join the team.
Write to us. A founder replies.