AuxAI
An independent trust layer that watches any AI at runtime
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AuxAI monitors any deployed AI model at runtime, independent of its own confidence scores. It catches silent failures standard monitoring misses, hardware faults, model drift, out-of-distribution inputs, and weight corruption, then triggers a safe rollback or healing without touching model weights or source code. Built for autonomous systems, robotics, industrial automation, and defense, where silent AI failures have real-world consequences.
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PH · launched Oct 25, 2026 · 1 upvote (top 67%)
- Horizontal
- Observability & eval
- B2B
- AI-native
- Commercial product
- Open Source
- Developer Tools
- Artificial Intelligence
Similar launches
See all 612 similar launches →Could you build this?
No The product claims to detect hardware faults, weight corruption, and silent failures in any model without access to weights or confidence scores. That is novel ML systems research, and it needs deep expertise in model internals, drift detection, and safety engineering.
What it would actually take: A real version would require telemetry collection from inference hardware and models, out-of-distribution and drift detectors built on statistical or learned baselines, and a safe rollback or healing mechanism. Validating silent-failure detection needs research-grade experiments and datasets of real failures, which typically come from ML reliability and safety researchers.
Competitors
Other products that read as similar to this one : 612 launches clear the similarity bar, closest 8 shown.
Attention rank: #336 of 613 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 354 days after the earliest competitor.
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- Energent.ai: Audit — The Fact-Checker for Every AI-Generated Result · yc · 2026-07-08 · 3 upvotes · similarity 0.45
- BotGauge · ph · 2026-10-28 · 209 upvotes · similarity 0.45
Other launches for this product
- No other launches for this product.