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Uber Technologies, Inc. and May Mobility, Inc. have unveiled a multi-year strategic partnership to introduce autonomous vehicles (AVs) to the Uber platform. The initiative kicks off in Arlington, Texas, by the end of 2025, with ambitions to roll out thousands of AVs in the coming years. This collaboration seeks to fast-track the integration of AV technology into the ride-hail sector, enhancing accessibility for consumers nationwide.
Key Highlights
- Strategic Partnership: Uber and May Mobility join forces to bring AVs to Uber’s ride-hail network.
- Initial Deployment: Launch planned for Arlington, Texas, by late 2025.
- Scaling Plans: Thousands of AVs targeted for deployment over the next few years.
- Advanced Technology: May Mobility’s MPDM AI powers real-time decision-making.
- Expansion Goals: Services to extend to more U.S. cities starting in 2026.
Under this partnership, Uber customers will soon have the option to book a May Mobility AV for qualifying trips. May Mobility will contribute a fleet of American-made, hybrid-electric Toyota Sienna vehicles, fitted with their innovative Multi-Policy Decision Making (MPDM) technology. This AI-driven system enables the vehicles to adeptly handle real-world challenges by making split-second decisions.
The rollout will begin with safety operators onboard, paving the way for fully driverless operations later. After launching in Arlington, where May Mobility has operated since 2021, the companies plan to expand into additional U.S. markets in 2026. The MPDM platform’s ability to adapt to unexpected “edge cases” ensures a safer, more reliable ride, building on May Mobility’s experience in driverless operations across three cities.
Uber CEO Dara Khosrowshahi emphasized the partnership’s potential, noting it advances their mission to shape transportation’s future. May Mobility CEO Edwin Olson echoed this, highlighting their readiness to scale as a leading autonomy-as-a-service provider. With the U.S. AV market valued at $1 trillion, this alliance positions both firms to redefine urban mobility, promising cost savings and enhanced safety by reducing human error.
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