DeepRouteai, a Chinese autonomous-driving technology company, is on track to equip more than 200,000 production vehicles with its autonomous driving platforms by the end of 2025.
The company reported that it held nearly 40% of the market in the third-party urban autonomous driving supplier segment in October, underscoring its accelerating commercial reach.
Announced during the Guangzhou Auto Show, the milestone marks a significant step in DeepRouteai’s shift from research and development to large-scale commercialization.
The company expects deployments to grow rapidly, targeting one million vehicles in 2026. DeepRouteai currently holds the second-largest market share in China’s mainstream SUV segment, with major automakers integrating its technology into new models.
DeepRouteai operates three core business lines: autonomous platforms for consumer vehicles, robotaxi services, and the development of RoadAGI, an autonomous intelligence system.
All three are built on a unified technical architecture designed to support both current and next-generation applications.
Chief Executive Maxwell Zhou said the progress reflects the company’s ability to scale safely and efficiently.
“Reaching 200,000 units by year-end proves that autonomous driving technology can be deployed safely and efficiently at scale. This positions us to pursue new opportunities in robotaxi services and broader autonomous applications,” he said.
The company plans to launch robotaxi operations using consumer-grade production vehicles by the end of 2025.
RoadAGI, designed as a general-purpose autonomous intelligence system, is intended to operate across diverse real-world scenarios such as delivery, logistics, property management, healthcare, and security.
DeepRouteai’s platform incorporates a Vision-Language-Action model within DeepRoute IO 2.0, integrating visual perception, semantic understanding, and autonomous decision-making.
This technical framework supports the company’s current commercial deployments while also meeting the higher autonomy requirements needed for future robotaxi fleets.
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