Semiotic Labs' SAM4 is a Remote Asset Monitoring solution that leverages Machine Learning and proprietary sensors (current and voltage) to predict when and why equipment fails. SAM4 monitors the health of AC induction motors and rotating equipment, offers insights into operational metrics, and monitors energy metrics. Insights are provided in their online dashboard or integrated with existing monitoring platforms via an API. SAM4 is retrofittable to any AC induction motor-powered asset and installs inside the Motor Control Cabinet - and not at the equipment itself - in 30-60 minutes per asset. They believe that, with development, it will be feasible for 85% of failures of motors and pumps to be predicted at least 10 days in advance.