Launching today
AIRS ML
Edge AI that predicts machine failures
12 followers
Edge AI that predicts machine failures
12 followers
Machines don't just break. They whisper first — weeks before they fail. But standard monitoring samples are too slow to hear them, and cloud AI can't scale across thousands of distributed assets. AIRS ML creates edge AI devices that mount onto any asset — CNC machines, robotic arms, motors, spindles, pumps — and detects incipient faults weeks before failure. Runs entirely on-device at 100 kHz, air-gapped, no cloud required. Validated across assets and John Deere startup collaborator 2026.
AIRS ML
Hey Product Hunt 👋 Prateek here, founder of AIRS ML.
This one started with my dad. He spent 30 years in oil & gas reliability, and I grew up watching him take 3 am calls about machines that died without warning. Turns out machines do warn you; they vibrate at frequencies no one was listening to, weeks before they fail.
So we built a small edge AI device that listens. Mounts on any motor, spindle, pump or conveyor. Runs on-device at 100 kHz. No cloud. No labelled failure data needed.
Would love your feedback, especially from anyone who's lost a weekend to a machine that "just died." 🛠️