AIRS ML

About AIRS ML

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.

The person behind AIRS ML

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  Prateek Tripathi

  Maker

  Founder @ AIRS ML | ex-Qualcomm | EdgeAI

  Email not found yet