EdgeRunner AI

EdgeRunner AI specializes in artificial intelligence-driven video analytics, specifically for intelligent transportation systems and smart city applications. Founded in 2017 by Christopher Eastwood and Ramin Valizadeh, the company is headquartered in Vancouver, British Columbia. The founders' backgrounds in hardware and software engineering for embedded systems directly inform the company's focus on edge computing solutions. The company's core product, Adar, is a platform that transforms standard traffic cameras into sophisticated sensors capable of real-time data collection. This technology provides near-miss analysis, traffic volume counts, vehicle classification (including cars, pedestrians, and cyclists), and speed analysis without the need for extensive hardware installations or cloud processing, which reduces latency and costs. Adar operates directly on existing infrastructure, making it a scalable solution for municipalities and traffic engineering firms. The business model centers on providing data-as-a-service to clients such as municipal governments (like the City of Surrey and the City of Richmond) and private sector companies involved in urban planning and traffic management. By offering actionable insights into road safety and traffic flow, EdgeRunner AI enables proactive infrastructure improvements and data-driven decision-making for creating safer and more efficient urban environments. Keywords: traffic analytics, AI video analysis, smart city technology, intelligent transportation systems, edge computing, road safety, pedestrian detection, traffic data, computer vision, urban mobility