Stock Markets August 19, 2026 03:27 PM

Uber, Pony.ai and Verne Start Robotaxi Service in Zagreb

Croatian capital becomes first European city to offer Uber-bookable self-driving rides, with human oversight during initial rollout

By Caleb Monroe
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UBER PONY

Uber Technologies, Pony.ai and Croatian startup Verne have begun offering autonomous vehicle rides in Zagreb, marking the first time Uber users in Europe can request a robotaxi through the company’s app. The rollout covers key parts of the city, including the center, and will expand geographically over time. During an initial phase, a licensed operator will ride in each vehicle while the companies work toward full autonomy. Pony.ai supplies the autonomous driving system, Verne operates the fleet, and Uber integrates the service into its platform. The move builds on a partnership announced in March and includes plans to extend the service to other European cities.

Uber, Pony.ai and Verne Start Robotaxi Service in Zagreb
UBER PONY
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Key Points

  • Zagreb is the first European city where Uber users can book a robotaxi through the Uber app, covering key areas including the city center.
  • Pony.ai supplies the autonomous driving technology, Verne is the fleet owner and operator, and Uber integrates the service into its ride-hailing platform - impacting the ride-hailing and autonomous vehicle technology sectors.
  • Service begins with a licensed operator on board during the initial phase as the companies work toward fully autonomous operations, affecting urban mobility and operations strategies.

Summary - Uber Technologies, Verne and Pony.ai launched a self-driving rides service in Zagreb on Wednesday, making the Croatian capital the first city in Europe where customers can summon a robotaxi through the Uber app.

The service is available in targeted parts of Zagreb, with coverage that includes the city center. Company statements indicate that service availability and the geographic footprint will broaden over time, though no specific timeline for expansion was provided.

During the early deployment phase a licensed operator will be present in each vehicle to monitor operations. The presence of that operator is part of the companies' approach while they continue development and validation on the path to fully autonomous driving.

Technologically, the autonomous driving system is supplied by Pony.ai, the Chinese robotaxi developer. Verne, a Croatian startup, will function as the fleet owner and manage service operations on the ground. Uber's role is to integrate the robotaxi service into its existing ride-hailing platform so riders can request trips through the familiar app interface.

This commercial launch advances the collaboration the three companies announced in March. The partners said they intend to roll the service out to additional European cities after the initial phase in Zagreb, without specifying which markets or a timetable.

Context and commercial roles - Pony.ai is providing the underlying autonomous driving technology. Verne will own and operate the vehicles in Zagreb. Uber is linking that capability to its app to enable bookings by its user base in the city.

Operational safeguards - The deployment begins with human oversight inside the vehicles as the teams work toward removing that requirement in future stages of the program.

Forward plan - The companies state that geographic coverage will expand over time and that the partnership intends to scale the service to other European cities, though the announcement does not include firm dates or detailed expansion milestones.

Risks

  • Initial availability and geographic coverage are limited and will expand over time, creating uncertainty for riders and local transportation networks while the rollout continues - this affects urban mobility and ride-hailing market access.
  • A licensed operator will be on board during the initial phase, indicating operations are not yet fully autonomous and that a transition to driverless service remains an open operational and regulatory milestone - this affects autonomous vehicle deployment timelines and operational cost structures.

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