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 resourcesAIRS ML is an Imperial College London startup founded by world-class Hardware and Machine Learning Engineers. We are part of the Summer Accelerator 2022 at Imperial College London. 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 Aviation, Oil and gas, Manufacturing, and Automotive customers. If interested, please get in touch with us.
Social Link - Linkedin: http://www. linkedin.com/company /airs-ml
Employee Count: 1
Keywords: hardware