Pony.ai, Uber expand pact to deploy 2,000 robotaxis in Europe Pony.ai and Uber have expanded their partnership to deploy over 2,000 robotaxis in Europe and the Middle East, building on their successful pilot in Zagreb. The deal integrates Pony.ai's L4 tech with Uber's platform, using local partners for fleet operations. Pony.ai shares dipped slightly before earnings, with analysts expecting revenue to jump to $35.18 million though losses widen to 17 cents per share. *this image is generated using AI for illustrative purposes only. Pony.ai Inc. (NASDAQ: PONY) and Uber Technologies Inc. (NYSE: UBER) announced an expansion of their strategic partnership to deploy more than 2,000 Pony.ai robotaxis across Europe. The move builds on the companies' existing commercial service in Zagreb, Croatia, and targets four additional European cities, with further plans for deployment in the Middle East. The expanded agreement formalizes a joint-deployment model designed to achieve commercial scale by integrating three core functions: Level 4 (L4) autonomous driving technology, a leading mobility platform, and day-to-day fleet operations. Under this framework, Pony.ai provides its L4 technology and operational expertise, while Uber offers customer access through its global mobility platform, including booking, payment, and customer service capabilities. Operational Structure Day-to-day fleet operations will be carried out by established local fleet partners selected for each market. Vehicle funding and ownership structures may vary by market, allowing individual partners to take on multiple roles. This model aims to combine Pony.ai's proven autonomous driving technology with Uber's extensive market reach and hybrid platform experience. | Partner | Role | Key Contributions | |---|---|---| | Pony.ai | Technology & Operations | L4 autonomous driving tech, rider-experience expertise, operational know-how | | Uber | Platform & Access | Global mobility platform, booking/payment systems, customer service, human driver network | | Local Partners | Fleet Management | Day-to-day