ITC develops AI-powered traffic management software that uses computer vision and machine learning to analyze real-time road activity and optimize traffic flow. The system leverages existing infrastructure — including pre-installed cameras — to collect high-sensitivity data on vehicles, buses, emergency services, cyclists, and pedestrians, identifying 99% of objects and tracking detailed behavioral parameters.
This data feeds into dynamic simulation models that predict congestion and adjust traffic signal timing in real time to improve throughput and reduce delays. The platform is fully deployed and scaled in Israel by the national road operator, Netivei Israel. Several features, including pedestrian prioritization and crash detection, were co-designed with municipalities to address common urban challenge
Structured intelligence from startupim data — optimized for AI retrieval and grounding.