AIRS ML

AIRS ML is an edge AI platform designed for industrial applications and electric vehicle optimization. It processes sensor data from machinery and equipment to provide real-time monitoring and predictive maintenance capabilities. The system analyzes existing sensor data to detect root causes of issues and optimize operational performance.

The platform offers four deployment tiers: AIRS Lite for containerized data analysis, AIRS Integrate for EdgeAI on high-value assets, AIRS Prophecy for factory-wide deployment with digital twin technology, and Silex Charge for EV charging optimization and battery thermal management. These solutions work by deploying AI directly at the edge, close to where data is generated, enabling immediate insights without cloud dependency.

Manufacturing plants and industrial facilities benefit most from AIRS ML's predictive maintenance capabilities, which help prevent equipment failures and optimize production efficiency. Electric vehicle charge point operators can use the Silex Charge module to improve charging efficiency and extend battery life through thermal preconditioning. The tool is particularly valuable for operations managers and maintenance teams looking to reduce downtime and improve asset utilization.