AIRS ML
AIRS ML builds industrial edge AI powered by its Edge Processing System (EPS), an edge AI platform that turns hidden machine data into real-time operational foresight. Our technology helps asset-heavy industries monitor critical equipment locally, detect early signs of degradation, and improve uptime, safety, energy efficiency and maintenance planning.
The problem
Factories, mobility systems, and infrastructure assets generate large volumes of high-frequency machine data, but most of it goes unused or is analysed too late. Existing cloud-heavy predictive maintenance systems can be expensive, bandwidth-intensive, high-latency and difficult to deploy in real industrial environments. As a result, operators still face unplanned downtime, energy waste, scrap, reactive maintenance and premature component replacement.
Company's solution
AIRS ML’s EPS sits on or near industrial assets and processes sensor data locally using edge AI, compressive sensing and unsupervised anomaly detection. It learns normal machine behaviour without requiring large historical failure datasets and surfaces actionable asset-health insights to maintenance and operations teams. The result is faster detection, lower data transfer, reduced cloud dependency and scalable monitoring across machines, sites and fleets.
Funding status
Pre-seed / seed fundraising stage. AIRS ML has secured non-dilutive grant and accelerator support from programmes including Innovate UK, Digital Catapult, Techstars, EIT Urban Mobility and High Value Manufacturing Catapult-related projects, and is preparing for further investment to scale commercial deployments.
Number of employees
4
Worth mentioning
AIRS ML has validated its technology through Innovate UK-backed pilots with MTC and AMRC, live industrial work with AMRC/AML Sheffield, and external validation from major industrial and mobility ecosystems. The company was selected for John Deere Startup Collaborator 2026, became a finalist in ABB’s Startup Challenge for motors and drives, and is part of Drive TLV’s FastLane 11 programme. AIRS ML has also filed patent protection covering its core Edge AI technology for industrial predictive maintenance.
