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AIRS ML
Techstars '24Hitchin, GB · Founded 2023 · 3 employees on LinkedIn · 1 known investors
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AirSML provides AI-powered data analysis and edge AI solutions for manufacturing and EV infrastructure. The company deploys machine learning systems on-site to optimize factory operations, monitor equipment, and enhance charging and battery management for electric vehicles.
Also known as AIRS ML · AirSML
Investors · 1
How we know: the Techstars portfolio · open dataset · Top 3000 Accelerator Startups (no YC) 2026-08 · Not right? Tell us
Company profile
researched Sep 2026AIRS ML develops edge AI software for industrial asset monitoring and electric-vehicle infrastructure. Its positioning centres on compressive sensing and real-time monitoring of physical assets, with machine learning applied to sensor data to understand machine behaviour and optimise operations.
The product line is structured as a tiered set of offerings. AIRS Lite performs AI-powered data analysis and root-cause detection using a customer's existing sensor data, delivered in a containerized environment. AIRS Integrate applies edge AI to selected high-value assets in order to model factory operations and optimise performance on key machines. AIRS Prophecy is a factory-wide edge AI deployment that integrates with existing machinery and adds advanced sensing and a digital twin for plant-level operational optimisation. A separate product, Silex Charge, targets electric mobility with AI-based optimisation for charge point operators and battery thermal pre-conditioning intended to improve charging efficiency and extend battery life.
Business model
The company sells software products at several deployment depths, from containerized analytics on existing sensor data (AIRS Lite) through edge AI on selected assets (AIRS Integrate) to a factory-wide deployment with digital twin (AIRS Prophecy), plus a distinct EV-focused offering, Silex Charge.
Traction
Published case studies describe a CNC milling machine pilot project, a proof-of-concept with ABB and a robotic arms pilot project. The company has been selected for the Smart Mobility Accelerator and is recruiting for open roles.
Latest developments
AIRS ML announced its selection for the Smart Mobility Accelerator and is running an open hiring process through its website.
▸Full profile — technology, go-to-market
Technology
Edge AI and machine learning applied to sensor data, including compressive sensing, real-time asset monitoring, root cause detection, containerized deployment, advanced sensing and digital twin modelling of factory machinery. For EV applications the technology covers charge point optimisation and battery thermal pre-conditioning.
Go-to-market
The website invites prospective customers to book a call or submit an enquiry, and publishes downloadable case studies covering a CNC milling machine pilot project, an ABB proof-of-concept and a robotic arms pilot project.
Industrial and manufacturing operators with sensor-instrumented machinery, including CNC milling and robotic arm users, and charge point operators and EV fleet-related customers.
Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Timeline · 1
launches, deals, and filingsThe company announced it had been selected to take part in the Smart Mobility Accelerator programme.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
▸Research sources · 8
primary sources listed
- AIRS MLairsml.co.uk · web
8 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does AIRS ML do?
- UK company offering edge AI for compressive sensing, real-time asset monitoring and EV charging optimisation.
- Who are AIRS ML's investors?
- AIRS ML's investors include Techstars.
- Where is AIRS ML headquartered?
- AIRS ML is headquartered in Hitchin, GB.