Mercedes-Benz Signs Production Deal for Wayve AI Driver

Wayve and Mercedes-Benz have signed a definitive production agreement to integrate the Wayve AI Driver into future Mercedes-Benz vehicles, enabling urban and highway point-to-point driving assistance starting within the next two years.

Wayve and Mercedes-Benz have signed a definitive production agreement to integrate the Wayve AI Driver into future Mercedes-Benz vehicles, with advanced urban point-to-point driving assistance reaching customers within the next two years. The companies announced the deal this week. It follows Mercedes-Benz’s strategic investment in Wayve’s Series D funding round earlier this year and builds on a multi-year technical partnership between the two organizations.

Highlights

  • Production timeline: The Wayve AI Driver is slated for future Mercedes-Benz vehicles starting in the next two years, according to the release.
  • Scope: The agreement covers advanced urban and highway point-to-point driving assistance, with the companies stating an intent to roll out the technology worldwide.
  • Integration proven on Mercedes-Benz hardware: Wayve says it integrated the AI Driver into the Mercedes-Benz production system architecture using the automaker’s hardware, MB.OS operating system, and map interfaces.
  • Demonstration footprint: A companion video shows the integrated system driving in Stuttgart, London, and San Francisco across city streets, freeways, and country roads.

What Does the Agreement Cover?

The production agreement moves the collaboration from technical validation toward mass-production development. According to Wayve, the two teams have already demonstrated the AI Driver’s potential for application in future Mercedes-Benz vehicles, which the company describes as the foundation for production work.

The integration used Mercedes-Benz’s own hardware, its MB.OS operating system, and its map interfaces rather than a separate Wayve stack. Wayve frames this as a demonstration of the AI Driver’s generalization capabilities — the same model operating across the automaker’s production architecture in Stuttgart, London, and San Francisco, from urban streets to freeways to rural roads.

“This partnership marks the world’s first integration of the Wayve AI Driver in the premium segment, expanding the availability of advanced urban and highway point-to-point driving assistance. Together with Wayve, we are laying the foundation to roll out this technology worldwide and deliver an outstanding driving experience to a broader range of customers,” said Jörg Burzer, Chief Technology Officer, Mercedes-Benz.

“We’re incredibly excited to be partnering with Mercedes-Benz, an iconic company with a strong reputation for automotive innovation and engineering excellence,” said Alex Kendall, Co-founder and CEO of Wayve. “The pace and depth of our development work together reflect a deep technical alignment between our teams, integrating Wayve’s embodied intelligence with Mercedes-Benz’s vehicle engineering and safety expertise. We couldn’t be prouder to build the future of autonomous driving together.”

How Does the Wayve AI Driver Work?

Wayve’s AV2.0 approach trains the AI Driver to reason about and adapt to its surroundings without HD maps, which the company describes as learning to drive the way a human would. The architecture is trained on NVIDIA AI infrastructure hosted on Microsoft Azure.

The company says this design allows the system to generalize to new cities and driving environments without geofences or city-specific retraining. Wayve positions the same underlying AI Driver as scalable across the autonomy spectrum — from advanced driver assistance to fully driverless products — giving automakers a single, evolving solution for a lineup that spans consumer cars to robotaxis.

Self Drive News
Self Drive News Staff

Self Drive News is the trade publication of record for vehicle autonomy. Published by Hagman Media and edited by founder Brian Hagman, it covers autonomous vehicles, robotaxis, ADAS, self-driving software and hardware, and L4 commercial deployments for an audience of AV engineers, software safety professionals, and mobility investors.