AUMOVIO and AWS Join Forces to Transform Autonomous Driving Development
Advanced AI and cloud infrastructure to help enable faster, safer autonomous vehicle development at scale
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Aurora's driverless truck
The collaboration integrates breakthrough agentic and generative AI capabilities directly into AUMOVIO autonomous development and validation workflows—solving one of the automotive industry's biggest bottlenecks by dramatically speeding up how quickly manufacturers can develop, test, and ready their autonomous vehicles for real-world deployment. The new solutions will be used for the first time in a significant customer project: deploying autonomous trucks at scale for Aurora, the leader in self-driving freight.
“Our collaboration with AWS is a cornerstone of our strategy to lead the transformation to autonomous mobility,” said
Developing self-driving vehicles requires processing massive amounts of information—millions of road scenarios, driver behaviors, and safety situations every day. Making sense of all this data quickly and accurately is critical to building vehicles that can help navigate safely in any condition. By combining AUMOVIO's deep automotive technology expertise with AWS's advanced cloud infrastructure and AI capabilities including Amazon Bedrock, the collaboration helps create scalable solutions that rapidly process this flood of information. These solutions help identify critical safety patterns and enable more rapid improvements in vehicle hazard detection that would traditionally take years.
"The automotive industry is at an inflection point where traditional development methods simply can't keep pace," said
AI That Speaks Your Language
The collaboration harnesses artificial intelligence to transform how autonomous vehicle systems are created. Engineers must test autonomous vehicles against millions of recorded driving scenarios to help ensure safety—a process that traditionally meant spending weeks manually searching through this data. Now they can simply ask questions in plain language—like "show me all cases where pedestrians entered the roadway at night in rain"—and get instant results. The AI helps surface critical safety scenarios and rare edge cases for further testing, freeing engineers to focus more on development rather than data management.
"At AWS, we believe the future of autonomous mobility isn't just about technology—it's about enabling our partners to deliver on the promise of safer, more efficient transportation at scale,” said
Powering the
AWS is helping AUMOVIO accelerate the deployment of autonomous trucks at scale, which will make the movement of freight safer and more efficient. By partnering with Aurora—the first company to launch driverless trucks in the U.S.—AUMOVIO is co-developing and manufacturing an industrialized and scalable generation of the Aurora Driver. When production begins in 2027, AUMOVIO will also provide a specialized backup computer to ensure safety if the primary system fails.
The Aurora Driver is developed through a rigorous validation process, which includes extensive virtual testing to ensure safety and reliability. AWS supports this effort by processing enormous volumes of sensor data, ensuring the Aurora Driver can safely navigate complex real-world scenarios. As part of the validation process for driverless operations, the Aurora Driver has satisfied more than 10,000 requirements and passed 4.5 million tests.
“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
The future of transportation depends on getting autonomous vehicles right—balancing rapid innovation with uncompromising safety. Through this collaboration, AUMOVIO and AWS are providing the industry with the solutions to help achieve both.
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About AUMOVIO
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