CaoCao and Shanghai Artificial Intelligence Research Institute Enter into Strategic Partnership and Establish AI Innovation Center

CaoCao Inc. has announced a strategic partnership with the Shanghai Artificial Intelligence Research Institute to establish the CaoCao AI Innovation Center, focusing on AI breakthroughs across the mobility service chain. This collaboration is a key component of CaoCao’s "RoboX" strategy, which aims to transform the company into a global leader in physical AI operations technology. The initiative represents a significant move for the AI sector as it transitions from digital applications to large-scale physical deployments in the mobility and transportation industries.
On June 25, 2026, Hangzhou-based mobility technology platform CaoCao Inc. (2643.HK) entered into a strategic partnership with the Shanghai Artificial Intelligence Research Institute to launch the CaoCao AI Innovation Center. The center is designed to leverage deep integration between industry, academia, and research to focus on the commercial application of AI technologies throughout the mobility service chain. This move marks a critical step in CaoCao's full-scale AI transformation, emphasizing the shift of artificial intelligence from digital environments into physical-world applications.
Central to this partnership is the implementation of CaoCao's "RoboX" strategy, which aims to build a globally leading physical AI operations technology platform. As part of this vision, the company has introduced its "Dual-100,000 Plan," which sets a target to deploy 100,000 Robotaxis and 100,000 Robovans by 2030. The company intends to utilize a closed-loop ecosystem that integrates intelligent purpose-built vehicles, intelligent driving technologies, and intelligent operations to accelerate the development of large-scale autonomous driving capabilities.
The establishment of the AI Innovation Center will provide multidimensional, full-chain support for CaoCao’s strategic goals, spanning academic research, theoretical support, and industrial practice. By creating a dedicated pathway for translating cutting-edge AI research into real-world mobility operations, the center aims to bridge the gap between theoretical innovation and practical deployment. This development highlights the intensifying focus within the AI sector on physical AI and the infrastructure required to manage massive autonomous fleets in the coming decade.
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