SinoAuto obtains RMB 300 million in Series C financing, the autonomous driving heavy truck sector heats up again | 36Kr Exclusive The autonomous driving heavy truck sector has seen a notable surge in momentum this year. 36Kr has learned exclusively that SineDrone recently completed a RMB 300 million Series C financing round, co-invested by Xingzheng Capital and Yidao Capital. The funds will be primarily allocated to the research and development of a new generation of vehicle-grade autonomous driving solutions. From January to June 2026, the sector has recorded 5 publicly disclosed financing deals totaling nearly RMB 7 billion, alongside a flurry of IPO activities. Behind this capital frenzy, autonomous driving heavy trucks are gradually gaining clear commercialization pathways. Closed scenarios such as ports, mines, and steel mills have developed steady demand for unmanned heavy trucks, while open scenarios like trunk logistics are also beginning to roll out alongside supportive policies, standing on the cusp of large-scale deployment. Founded in April 2020, SineDrone is a company focused on the R&D and implementation of unmanned driving technologies in the heavy-duty logistics sector, providing autonomous driving solutions for multiple scenarios including ports, industrial parks, and trunk logistics. Currently, SineDrone's business model features a multi-vehicle, multi-scenario, and multi-operation chain structure. On the product front, unmanned container trucks, unmanned dump trucks, and unmanned flatbed trucks form SineDrone's core product lineup. Underpinning these offerings are its self-developed one-stage world model autonomous driving solution, as well as core hardware including domain controllers and positioning boards. In terms of deployment models, SineDrone provides two options: direct sales of complete vehicles, or provision of capacity-as-a-service. In closed scenarios, the company has achieved implementation across traditional container ports, bulk cargo yards, steel plants, paper mills, aluminum plants, railway stations, and logistics hubs. In open scenarios, it has established partnerships with