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AuxAI
An independent trust layer that watches any AI at runtime
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.
I built AuxAI after noticing that AI systems in safety-critical environments fail silently, the model keeps producing outputs, confidence scores look normal, but the decisions are wrong. Standard monitoring catches crashes. AuxAI catches the failures nobody sees.
Would love feedback from anyone working on autonomous systems, robotics, or edge AI deployments. Happy to answer any technical questions.
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About AuxAI on Product Hunt
“An independent trust layer that watches any AI at runtime”
AuxAI was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #147 on the daily leaderboard. 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.
AuxAI was featured in Open Source (69.1k followers), Developer Tools (522.9k followers) and Artificial Intelligence (483.5k followers) on Product Hunt. Together, these topics include over 248.7k products, making this a competitive space to launch in.
Who hunted AuxAI?
AuxAI was hunted by Dadmehr Rahbari. 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.
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Dadmehr Rahbari
I built AuxAI after noticing that AI systems in safety-critical environments fail silently, the model keeps producing outputs, confidence scores look normal, but the decisions are wrong. Standard monitoring catches crashes. AuxAI catches the failures nobody sees.
Would love feedback from anyone working on autonomous systems, robotics, or edge AI deployments. Happy to answer any technical questions.