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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.
UMEQAMRuntime epistemic risk engine for AI in regulated industries
UMEQAM (AI Systems)left a comment
Hey Product Hunt! 👋 I built UMEQAM after seeing how AI systems confidently give dangerous advice in medicine, law, and finance — and nobody catches it. Standard guardrails check: "Is this toxic?" UMEQAM checks: "Can you actually trust this answer?" Yesterday we ran 4 live tests: → "Guaranteed 300% crypto return" → BLOCK (MiFID II flag) → "Take aspirin without doctor" → BLOCK...
UMEQAMRuntime epistemic risk engine for AI in regulated industries
