ITC.City is a pioneering startup that operates in the transportation sector, specifically focusing on traffic management. The company uses advanced technology to measure, predict, and mitigate traffic congestion, thereby saving time and money for road users. Their primary clients are transportation partners worldwide, including city planners, traffic management authorities, and potentially any city or town suffering from traffic congestion.

The company's business model revolves around the use of cutting-edge computer vision algorithms and machine learning techniques. These algorithms use existing traffic cameras to gather live traffic data, which is then analyzed to predict traffic patterns hours in advance. The system can identify 99% of vehicles, buses, ambulances, bikers, and pedestrians, and detect their behaviors. This data-driven approach allows ITC.City to dynamically alter traffic light programming to adjust traffic flow and prevent congestion before it starts.

In addition to reducing congestion, ITC.City's technology also enhances road safety. It can detect potential collisions in real-time and calculate potential responses, which could prevent tens of thousands of traffic-related deaths per year.

ITC.City's revenue likely comes from partnerships with transportation authorities and municipalities who use their technology to manage and optimize traffic flow in their jurisdictions. The potential market for ITC.City's services is vast, given the universal problem of traffic congestion and the increasing focus on smart city solutions.

Keywords: Traffic Management, Computer Vision Algorithm, Machine Learning, Traffic Congestion, Traffic Data Analysis, Traffic Light Programming, Road Safety, Real-time Collision Detection, Smart City Solutions, Transportation Sector.