All sorts of innovative approaches to sensor data processing have been made in the past decade due to the ubiquity of low-cost sensors found in smartphones and Internet-of-Things (IoT) devices.  Today, contextual information about users has been used by health and fitness apps despite low accuracy of sensor fusion algorithms, often requiring internet connectivity and electrical infrastructure.

 

With Edge ML we aim to deliver user contextual data at the edge, enabling low-power, low-compute ML pipelines in commercial, industrial, and end-user settings.