AIRS ML

About AIRS ML

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.