On October 8 th , PATEO, a leader in automotive intelligence, and SenseTime, a giant in artificial intelligence, announced the conclusion of a comprehensive strategic partnership, in which they will focus on the deep integration of large AI models into intelligent cockpits, with concurrent investment commitments, and jointly make overall planning and arrangements in cutting-edge fields such as humanoid robots and cockpit-driving integration, becoming a landmark event as Chinas intelligent connected vehicle industry enters a new AI-driven phase.
Currently, intelligent cockpits are evolving from functional integration to emotional and personalized experiences. As an AI platform enterprise that combines hardware engineering and automotive-grade integration capabilities, PATEO is committed to providing full-chain solutions from underlying software to cloud services. Based on domestic open-source model architectures and SenseTimes SenseNova large model, PATEO is customizing and training the Qinggan Large Model service for the cockpit domain, constructing a complete technological closed loop, pioneering the creation of a platform-level AI Agent within the industry that integrates multiple Agent capabilities such as digital entertainment, local services, communication and collaboration, and mobility navigation, and achieving a fundamental leap from feature stacking to scenario-based intelligent services.
Supported by the computational power of AIDC infrastructure and self-developed AI inference and training chips, the two parties will jointly deploy high-performance servers to reconstruct the intelligent cockpit experience across multiple dimensions, including interaction interface, active care and safety, personalized interaction, and scenario-based intelligence. Meanwhile, an efficient collaborative mechanism for building the device-side large model will be established: ensuring millisecond-level real-time response, continuously iterating and evolving, forming an hybrid intelligent connected vehicle platform with leading ai chip and cloud, and truly achieving the in-depth integration and efficient implementation of AI capabilities with automotive scenarios.