▶ Flagship Product
Find what’s missing from data that looks complete.
Reasons about survivorship bias across a large, seemingly-complete dataset to surface what’s missing — the records and cases that should exist but don’t.
01
Infers which records should exist but don’t — not just errors in the ones that do.
02
Reasons about what never made it into the data — the blind spot a human review can’t see.
03
Sends every low-confidence call to a human — surfaces gaps without crying fraud.
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