Pony.ai and Uber to Deploy Over 2,000 Robotaxis in Europe

Key facts

• Pony.ai and Uber are expanding their partnership to deploy over 2,000 robotaxis in Europe.
• The collaboration will extend from Zagreb, Croatia, to four new European cities.
• The partnership also includes plans for deployment in the Middle East.
• Pony.ai will provide its Level 4 autonomous driving technology and operational expertise.
• Uber will offer customer access through its global mobility platform, including booking and payment.

Chinese autonomous driving company Pony.ai and ride-sharing giant Uber have announced an expansion of their strategic partnership, aiming to deploy over 2,000 robotaxis across Europe. This collaboration builds upon their existing commercial robotaxi service in Zagreb, Croatia, which launched in 2026.

The expanded agreement will see the robotaxi service extended to four additional unnamed cities in Europe. Details regarding the rollout timeline for these new locations will be announced in phases. The partnership also encompasses plans for deployment in the Middle East, though specific details were not provided.

Pony.ai will contribute its Level 4 autonomous driving technology, rider-experience expertise, and operational know-how, leveraging its experience from large-scale robotaxi deployments in China. Uber will provide access to its global mobility platform, managing bookings, payments, and customer service, while also integrating with its network of human drivers. Day-to-day fleet operations are expected to be handled by local fleet partners in each market.

Dr. James Peng, Founder and CEO of Pony.ai, stated that the expanded agreement signifies a new phase in their partnership, reflecting a shared commitment to bringing safe and reliable robotaxi services to more European cities. Sarfraz Maredia, Global Head of Autonomous Mobility & Delivery at Uber, highlighted that the collaboration aims to move from individual launches to repeatable commercial scale by combining advanced autonomous technology with Uber's hybrid platform and operational experience.