SpinEdge develops spintronic-based analog AI accelerators for energy-efficient, real-time edge computing.

Its technology enables in-memory analog processing using non-volatile spintronic memory cells, reducing latency and power consumption by eliminating the need for digital conversion of analog sensor data.

This architecture is designed for high-performance AI inference in edge environments such as autonomous vehicles, drones, and industrial systems.By combining analog computing with spintronics, SpinEdge delivers substantial improvements in speed and energy efficiency for on-device neural network execution, supporting scalable, low-power AI applications at the edge.