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.
Company Details
- Employees
- 3
- Founded
- -
- Address
- London, Gb
- Industry
- Technology, Information And Internet
- Website
- https://airsml.co.uk/
- HQ
- London
Airs Ml (Techstars '24) Questions
Airs Ml (Techstars '24)'s website is https://airsml.co.uk/
Airs Ml (Techstars '24)'s LinkedIn profile is https://uk.linkedin.com/company/airs-ml
Airs Ml (Techstars '24) has
3 employees.
View email and phone details for 3
employees at Airs Ml (Techstars '24).
Airs Ml (Techstars '24)'s industry is
Technology, Information and Internet
Airs Ml (Techstars '24)'s top competitors are
Minervas,
Dearflow,
Jaipur Robotics,
Redivivum (Techstars'24),
Reppls,
Chapter,
Twini,
Aradon,
Nanoapi (Techstars '24),
Waldek Technologies.
Airs Ml (Techstars '24)'s categories are Technology, Information and Internet
Airs Ml (Techstars '24)'s founding year is 2022
