Edgetensor technologies

Edgetensor Technologies, a Dallas-based company founded in 2017 by Rajesh Narasimha and Soumitry Ray, operates at the intersection of artificial intelligence and mobility. The firm is focused on developing 'AI at the Edge' technology, which involves processing data locally on devices rather than sending it to the cloud. This approach is designed to overcome challenges related to speed, latency, privacy, and cost associated with cloud computing. Both founders hold Ph.D.s from the Georgia Institute of Technology and previously worked at Metaio, an augmented reality startup that was acquired by Apple in 2015. Their collective background includes extensive experience in computer vision, machine learning, and imaging algorithms, supported by over 75 shared patents and publications.

The company's core offering is an AI-driven analytics platform for the automotive and fleet management industry. Edgetensor provides a software development kit (SDK) and a comprehensive fleet management dashboard that can be integrated with a wide range of cameras and low-cost computing hardware. The technology is capable of real-time monitoring and analysis of driver behavior, tracking facial analytics like gaze direction, head pose, and emotion to detect and alert for distracted driving. Its proprietary AI inference engine is optimized to run efficiently on devices with limited processing power. In July 2023, the company launched Edgetensor 2.0, an upgraded version of its software featuring a Liability Risk Scorecard, predictive analytics, and improved data accuracy to provide more actionable insights.

Edgetensor's business model is B2B, generating revenue by selling its solutions to telematics service providers, fleet system integrators, automotive TIER1 suppliers, and OEMs. The company's solutions aim to enhance driver safety, improve operational efficiency by reducing false alarms, and provide a holistic view of business KPIs. Beyond fleet management, the technology has potential applications in smart cities for automating parking, monitoring access to areas, and in digital advertising. The company has secured funding through several rounds, including investments from SRI Capital, 3Lines Venture Capital, and Walden International, to support its growth and market expansion.

Keywords: fleet management, AI at the Edge, driver monitoring system, telematics, computer vision, automotive safety, edge computing, AI analytics platform, ADAS, video telematics, driver safety, operational efficiency, distracted driving detection, facial analytics, mobility tech, smart city solutions, AI SDK, vehicle safety technology, data-driven fleet management, insurtech