AUMOVIO and Amazon Web Services (AWS) have announced a strategic collaboration to support the development and validation of autonomous driving systems, as automakers and technology firms seek to manage the growing data and software complexity of self-driving vehicles.
Under the agreement, AWS will serve as AUMOVIO’s preferred cloud provider for autonomous driving workflows. The partnership integrates cloud computing infrastructure and artificial intelligence tools, including generative and agentic AI, into AUMOVIO’s development and testing processes, the companies said.
See also: Aurora to Launch Autonomous Frac Sand Hauling in Permian Basin with Detmar Logistics
The first major deployment of the collaboration will support Aurora Innovation’s autonomous trucking program. AUMOVIO is co-developing and manufacturing an industrialized version of the Aurora Driver, with production scheduled to begin in 2027. The company will also supply a backup computing system designed to maintain safety if the primary system fails.
Developing autonomous vehicles requires the processing of vast amounts of sensor data and driving scenarios, often involving millions of test cases. AUMOVIO said the use of AI-enabled tools hosted on AWS allows engineers to search large datasets using natural language queries, reducing the time needed to identify safety-critical events and rare edge cases.
See also: Aurora Expands Driverless Truck Network with New 600-Mile Route Across Texas
“Our collaboration with AWS is a cornerstone of our strategy to lead the transformation to autonomous mobility,” said Ismail Dagli, executive board member and head of the Autonomous Mobility business area at AUMOVIO. “We are creating a solution that combines cloud infrastructure, AI capabilities, and automotive expertise, efficiently turning data into actionable insights across complex information environments.”
Aurora, which operates driverless trucking services in the United States, is using the platform to support validation of its autonomous system. The companies said the Aurora Driver has met more than 10,000 requirements and completed 4.5 million tests ahead of broader driverless operations.
See also: Aurora Innovation Targets Sunbelt Expansion with Driverless Trucks, Logs 20,000 Miles
“Working with AWS to power the development of the Aurora Driver was critical to becoming the first company to launch driverless trucks in the U.S.,” said Matt Ellis, senior vice president of software engineering at Aurora.
AWS said the collaboration reflects wider industry efforts to shorten development timelines while maintaining safety standards as autonomous systems move toward commercial scale.