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FOR AI BUILDERS IN REGULATED MARKETS
If you build AI for a regulated industry, your customers’ procurement teams now ask one thing: prove it. Aequitas attaches an auditable reasoning record (the “why” behind every decision) to your model’s output, so a compliance review has something to read.
For lending & FinTech AI: a specific, documented reason behind every credit decision, the kind black-box scores can’t produce.
For HR-tech: the bias audit trail and decision record enterprise procurement now demands, in the terms NYC LL144 asks about.
For InsurTech: underwriting AI with the documented reasoning Colorado SB 21-169 and NAIC market-conduct exams ask about.
Hallucination screening + a defensibility record for legal AI, built around the ABA Op. 512 duty to verify.
Traceable clinical reasoning for health AI, ahead of FDA SaMD transparency expectations.
Plain-language decision records for public-sector AI, written for disclosure.
Policy-to-decision mapping for moderation AI under the EU AI Act (Art. 50) and the DSA.
Building AI for another regulated market?
The same reasoning record applies wherever a decision has to survive an audit. Tell us what you’re shipping.
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