Amazon, Aumovio Team Up to Boost Autonomous Truck Deployment

Companies Integrate New Generative AI Tools Into Development Work for Aurora's Self-Driving Truck Fleet

Aurora truck
Aurora is working with partners such as Aumovio and Amazon Web Services to scale up deployment of its self-driving trucks. (Aurora Innovation)

Key Takeaways:Toggle View of Key Takeaways

  • Aumovio and AWS aim to accelerate autonomous vehicle development with new generative AI tools.
  • The companies are working with Aurora to help scale up its self-driving truck fleet.
  • Industry partnerships supporting autonomous truck development continue to expand.

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LAS VEGAS — Automotive technology supplier Aumovio has partnered with cloud computing giant Amazon Web Services to speed up the deployment of autonomous vehicles, starting with Aurora Innovation’s fleet of self-driving commercial trucks.

Through this collaboration with AWS, Aumovio is integrating new agentic and generative artificial intelligence into its workflows for developing and validating autonomous driving technology, including the fallback system it is producing for the Aurora Driver.

Aumovio and AWS announced the partnership Jan. 6 at CES 2026, the world’s largest annual technology show.



“This collaboration is not only about accelerating development for our customers, but also about helping promote safety, efficiency and innovation in autonomous driving,” said Ismail Dagli, executive board member at Aumovio and head of its autonomous mobility business.

Aumovio, the former automotive technology segment of Continental, in September 2025. Its products and services include sensors, displays, braking and assistance systems, along with technology and architecture to support software-defined vehicles.

Aumovio said the new AI capabilities from AWS will free up engineers to focus more on development and less on data management, enabling them to more efficiently test autonomous vehicles against millions of driving scenarios.

Instead of manually searching through this data, developers can ask plain language questions to instantly access relevant information and better identify rare edge cases to guide further testing and ultimately improve safety, the company said.

“The safety engineer using actual natural language to be able to do many of these tasks is crucial,” said Ozgur Tohumcu, general manager of automotive and manufacturing at AWS.

Aumovio will use these AI workflows for the first time to support its ongoing work with Aurora as it expands deployment of its virtual driver for autonomous trucks.

Aurora launched the industry’s first commercial autonomous trucking service last year between Dallas and Houston and has since in Texas connecting Fort Worth and El Paso.

“The type of skin-in-the-game partnerships that we see here between us and Aurora and us and AWS are the kinds of partnerships that can really allow technology to scale,” said Jeremy McClain, head of the system and software business within Aumovio’s autonomous mobility unit.

Aumovio is co-developing and manufacturing an industrialized version of the Aurora Driver with large-scale production set to begin in 2027. As part of the agreement, Aumovio is supplying a backup computer to ensure safe operation if the primary system fails.

Meanwhile, AWS is supporting Aurora by processing massive amounts of data to validate the safety and reliability of the autonomous driving system.

“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. “Assembling an ecosystem of world-class partners to deliver the Aurora Driver at scale will continue to be key to strengthening our leadership in autonomous freight.”

Aurora’s list of industry partners also includes truck makers Paccar Inc. and Volvo Trucks North America and transportation management system developer McLeod Software.

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