Technology company Pony.ai has taken a firm step into the future of urban transportation by formalizing a partnership with Shenzhen Xihu Group, one of China’s largest fleet operators. This collaboration will allow the progressive deployment of more than 1,000 Gen 7 Robotaxis in Shenzhen, consolidating the autonomous mobility as part of the urban ecosystem.
Robotaxis model with AI and operational efficiency
The agreement provides for the adoption of an approach based on. “asset-light + artificial intelligence”in which Pony.ai will focus its resources on technological innovation, algorithmic intelligence and automated dispatch, while Xihu Group will leverage its operational infrastructure and fleet management expertise to scale services.
This formula seeks to maximize the efficiency of vehicles.nomos and accelerate their integration into existing transportation networks, with an emphasis on safety, maintenance and passenger experience.
Shenzhen: testing ground for the mobility of the future
With a complex urban network that includes tunnels, irregular intersections and high vehicle density, Shenzhen represents one of the most demanding environments for autonomous mobility. Pony.ai has already demonstrated its ability to operate in these conditions and is officially authorized to offer driverless rides in central areas.
The alliance with Xihu Group, which currently operates a fleet of nearly 5,000 electric cabs, reinforces the ability to scale the proposition without sacrificing quality or regulatory compliance.
Long-term outlook: replicability and expansion
Both companies anticipate that the model applied in Shenzhen could be replicated in other major cities in China. In addition, Pony.ai has stated its intention to expand its presence in Europe and the Middle East. This expansion strategy is based on its Virtual Driver technology, which is vehicle type agnostic, and its integrated software and hardware architecture.
The shared vision between the two parties aims to transform urban mobility with autonomous, sustainable solutions adapted to the real needs of passengers.
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Source and photo: Pony AI
