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.

AIRS ML (Techstars '24)

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