Netradyne

Netradyne is an artificial intelligence-powered platform focused on driver safety and fleet management. Its core functionality centers on using computer vision and machine learning to analyze real-time driving behavior through in-vehicle camera systems. The platform captures and processes video footage from multiple angles—front-facing, driver-facing, and side-facing cameras—to detect a wide range of events such as hard braking, rapid acceleration, sharp turns, lane departures, tailgating, distracted driving (e.g., phone use, eating), drowsiness (e.g., yawning, eye closure), and failure to stop at signs or lights. Instead of only flagging negative incidents, Netradyne’s system also identifies and rewards positive driver behaviors like maintaining safe following distances, smooth cornering, and proper use of turn signals. This dual approach encourages a culture of recognition and coaching rather than punishment. The platform’s physical AI engine runs locally on the device (e.g., the Driveri or D-16 smart camera) to process video in real time, with edge computing that reduces latency and ensures privacy by not constantly uploading raw footage. When a notable event is detected, a short video clip is automatically uploaded to the cloud-based dashboard, where fleet managers can view, annotate, and assign coaching sessions. The dashboard provides aggregated scorecards per driver, per vehicle, and per fleet, using metrics like Driver Safety Score (DSS) and Safe Driving Score (SDS) that weight both risky and safe actions. Managers can filter events by severity, time, location, or driver, and can generate weekly or monthly reports to track improvement trends. Netradyne integrates with existing fleet management systems through APIs, allowing data to flow into maintenance scheduli