Rekor

Rekor is a technology company that specializes in roadway intelligence through the application of artificial intelligence and machine learning to mobility data. The company collects, connects, and organizes vast amounts of information from vehicles, infrastructure, and transportation networks to provide actionable insights for government agencies, law enforcement, tolling authorities, and commercial fleet operators. Its core platform processes data from cameras, sensors, and existing traffic systems to detect, recognize, and analyze vehicles in real time. One of the primary functions is automatic license plate recognition (ALPR), which enables identification of vehicles across jurisdictions, supporting applications such as stolen vehicle recovery, toll enforcement, and traffic violation monitoring. The system can also classify vehicle types, colors, makes, and models, and track movement patterns over time. Rekor’s AI models are trained on diverse datasets to handle varying lighting, weather, and road conditions, ensuring high accuracy in complex environments. Beyond recognition, the platform integrates with existing infrastructure to provide predictive analytics for traffic flow, congestion management, and incident detection. For example, it can identify when a vehicle is traveling against traffic, stopped in a lane, or involved in a crash, and then alert emergency responders automatically. The data is organized into a searchable, indexed format that allows agencies to query historical vehicle movements for investigations or audits. Rekor also offers solutions for electronic toll collection, where vehicles are identified without needing transponders, and for managing access to secured facilities or parking lots. The company’s cloud-based architecture supports scalabilit