Most AI training data arrives as a file with a score attached. You cannot tell who wrote it, what they were asked, how it was graded, or what got thrown out on the way.

So when a model improves, you do not know why. When it regresses, you do not know that either.

recast builds expert datasets and evaluations that ship with their record attached: the task specification, the author's credentials, who graded the work, where the graders disagreed, and every rejected item with the reason it was rejected.

The work is written by people who do it for a living — clinicians, lawyers, accountants, engineers — in their own field, under their own name.

We are opening to a small number of partners.

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