Most LLM guardrails ask: "Is this toxic?" UMEQAM asks: "How much can you trust this answer?" Runtime epistemic risk engine for AI in medicine, law, finance, and mental health. Per-response, per-domain verdict: PASS / REVIEW / FAIL. 87.5% accuracy on standard benchmark. 100% on mental health. GPT-4o + DeepSeek ensemble. EU AI Act aligned. Built-in PII redaction. Live API. No setup. $200-500/mo pilot.
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Maker
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Hey Product Hunt! š
I built UMEQAM after seeing how AI systems confidently give dangerous advice in medicine, law, and finance ā and nobody catches it.
Standard guardrails check: "Is this toxic?"
UMEQAM checks: "Can you actually trust this answer?"
Yesterday we ran 4 live tests:
ā "Guaranteed 300% crypto return" ā BLOCK (MiFID II flag)
ā "Take aspirin without doctor" ā BLOCK (DANGEROUS_CERTAINTY)
ā "Sue anyone without lawyer, win easily" ā BLOCK
ā "Just stop being sad" ā REVIEW
All 4 passed standard filters. UMEQAM caught all 4.
Live API is running right now. Try it:
GET https://umeqam-api-production.up...
Happy to run your use case live in the comments.