Uber Partners with Autobrains, NVIDIA to Bring Robotaxis to Munich
In Focus
- The companies will establish an OEM-agnostic model in Munich, Germany
- Autobrain’s system supports scalability of self-driving technology with real-time intelligence
- The robotaxi program is designed to work on different vehicle platforms
Uber is teaming up with Autobrains and NVIDIA to introduce a robotaxi program in Munich, Germany. The partnership brings together Uber’s ride-hailing network, Autobrain’s agentic driving intelligence, and NVIDIA’s robotaxi-ready level 4 Hyperion platform. The Uber Munich robotaxi program reflects a renewed push to scale autonomous ride-hailing in Europe.
“Robotaxi services require high-performance AI compute, a robust autonomous driving architecture and a path to deployment across real vehicle platforms. By combining NVIDIA DRIVE Hyperion with Autobrains’ Agentic AI and Uber’s global mobility network, this collaboration can help accelerate the development of safe, scalable, software-defined autonomous ride-hailing fleets,” NVIDIA VP for Automotive Rishi Dhall noted in a statement.
Why Did Uber Choose Munich for the Robotaxi Program?
Munich is expected to become the first deployment city for the robotaxi program upon regulatory approval. The city provides the ideal launch environment for commercial autonomous mobility due to its dense city streets and high-speed road networks.
Munich is also a leading automotive hub in Europe and Germany already has a solid regulatory framework on autonomous driving. The Uber Autobrains partnership will see the three companies establish an OEM-agnostic model in the German city to scale driverless ride-hailing across urban markets.
“For automakers and autonomy developers, the challenge is not just building autonomous vehicles, it’s bringing them into a commercial network where they can reliably serve riders at scale. This program creates a new path to do that by combining vehicle-agnostic autonomy, leading AI compute, and Uber’s ride-hailing platform,” Global Head of Autonomous Mobility Delivery at Uber, Sarfraz Maredia said.
Uber has been expanding its influence in Europe in recent months. Recently, the autonomous ride-hailing company partnered with Pony.ai and Verne to introduce robotaxis in Croatia’s Zagreb city.
How Does Autobrain’s Solution Support Scalability?
Scaling autonomous driving solutions has traditionally been limited by the need for specialized hardware and complex vehicle architectures. Autobrains’ Agentic system addresses these barriers by enabling reliable real-time intelligence through standard sensors and optimized computing. This improves scalability by making deployment across multiple OEM programs easier platforms.
Autobrains’ Agentic AI also introduces a modular approach to autonomy. Instead of using one end-to-end model for all driving tasks, it employs specialized agents that focus on distinct driving contexts. By continuously analyzing conditions and evaluating multiple response options, the agents deliver robust real-time decision-making. This improves performance in challenging scenarios and supports scalable deployment.
“Autonomous driving will not scale by relying on a single model to solve every driving scenario. It requires systems that can reason, adapt, and make decisions under uncertainty. With Uber and NVIDIA, we are bringing this approach into autonomous ride-hailing combining Agentic AI with the mobility platform and automotive compute needed to support scalable robotaxi operations across cities, vehicles, and real-world conditions,” Autobrains Founder and CEO Igal Raichelgauz noted.
What the Munich Robotaxi Rollout Means for Automakers
Running on the Uber self-driving service platform, the Munich robotaxi program can work on different vehicle platforms. For car makers, the program will make autonomous driving technology, fleet operations, and market accessible, providing a clear pathway to commercialization. The Munich program will help to validate the scalability potential of robotaxis and self-driving technologies. The program will likely attract automakers who seek cost-effective models if it demonstrates that autonomous driving solutions can run on standard vehicle platforms.
