Achieving a 15% decrease in carbon footprint and energy consumption costs by creating an optimization algorithm for charging electric vehicles.

Reducing energy costs by predicting and controlling efficiency, saving up to 35% and enabling anomaly detection and automated management for commercial properties.

Real-time retail insights achieved through computer vision on edge devices, enabling person and face detection, demographic profiling, and pose estimation.