Nexar-Nauto Merger Aims to Give Fleets Better Safety Intelligence Through Larger Driving Dataset Stefan Heck tells Automotive Fleet that combining more than 10 billion miles of driving history with Nexar's AI models will give fleets deeper insights into driver risk and roadway conditions than either company could provide independently. Nexar and Nauto have agreed to merge, combining two of the fleet industry's largest sources of real-world driving data in a move the companies say will strengthen AI-powered safety, risk management, and operational intelligence. The combined company will draw on more than 10 billion miles of historical driving data while adding more than 300 million real-world miles each month across more than 50 countries. The companies say the larger and more diverse dataset will improve the accuracy of AI models used by fleets, insurers, automakers, and autonomous vehicle developers. For fleet operators, the biggest opportunity isn't simply collecting more data, it's generating better insights from it. Merger Delivers Scale And Context "The biggest change is scale and context," Stefan Heck, Nauto's founder and CEO, told Automotive Fleet. "Together, they will create an independent intelligence platform built on more than 10 billion miles of driving history and over 300 million new real-world miles captured every month across more than 50 countries. That larger, more diverse dataset will enable AI models to recognize patterns and predict outcomes with a level of confidence that neither company could achieve independently." Heck said fleets should benefit from the expanded data foundation as new capabilities are developed. "The combined company has the potential to give new insights to fleets from the larger pool of data as well as additional models that originated with Nexar, like BADAS, the industry's leading incident prediction model, and Atlas, which searches how a place behaves, drawing on the combined record of real-world