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AIRS ML

AIRS ML

Technology, Information and Internet

AIRS ML pioneers Industrial edge AI agents for the manufacturing sector

About us

We predict machine failures using AI without sending your data to the cloud. Say NO to: - Unsustainable, expensive, and insecure data transfers - Expensive computational resources AIRS ML is an Imperial College London startup founded by world-class Hardware and Machine Learning Engineers. We are a part of the Techstars Berlin 2024 cohort. AIRS ML products analyze collected sensor data (e.g. temperature, pressure, and vibration) to monitor the machines and reduce the risk of a breakdown using custom embedded systems at the edge. Our solution is your helping hand on the ground 24/7. One report by PwC estimates the typical predictive maintenance strategy can: - Reduce costs by up to 12%. - Improve uptime by 9%. - Reduce safety, health, environment, and quality risks by 14%. - Extend the life of an ageing asset by 20%. We are actively looking for contacts in the High-Value manufacturing sector. If interested, please get in touch with us.

Website
https://airsml.co.uk/
Industry
Technology, Information and Internet
Company size
2-10 employees
Headquarters
London
Type
Privately Held
Founded
2023
Specialties
Predictive Maintenance, AI, Embedded Systems, tinyML, Edge AI, and Asset Monitoring

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