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.