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UMEQAM
Runtime epistemic risk engine for AI in regulated industries
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.
About UMEQAM on Product Hunt
“Runtime epistemic risk engine for AI in regulated industries”
UMEQAM was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #605 on the daily leaderboard. 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.
Who hunted UMEQAM?
UMEQAM was hunted by UMEQAM (AI Systems). A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of UMEQAM including community comment highlights and product details, visit the product overview.
