Reduced Energy Microsystems

Embedded devices need to run computer vision and deep learning inference but are constrained by extremely low power budgets.

It builds ultra-low-power silicon chips using proprietary asynchronous resilient technology and a custom neural network architecture for efficient on-device vision inference and traditional vision workloads.

Device manufacturers and product teams building augmented reality, body-worn cameras, and autonomous robots.