AIRS ML
Edge AI that predicts machine failures
AIRS ML launched on April 28, 2026 with 81 votes, #579 of 21,248 launches that month and more than 95% of that year's launches.
What it does
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.
Discover Edge AI for Compressive Sensing, enabling AI-powered data analysis and real-time asset monitoring for predictive precision.
AI-powered data analysis and root cause detection from existing sensor data. Deployed in a containerized environment for seamless, scalable insights. Implements EdgeAI on select high-value assets. Designed to understand factory operations and optimize performance on key machines. Factory-wide EdgeAI deployment with full integration of existing machinery. Features advanced sensing and digital twin for complete operational optimisation. AI-powered optimisation for Charge Point Operators & Battery Thermal Pre-conditioning for EVs. Enhances efficiency and extends batteryfrom airsml.co.uk
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