SHOUCHENG (00697) fund invests in Jianzhi, positioning around high-quality data for physical AI

date
06:50 05/11/2026
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GMT Eight
SHOUCHENG (00697) announced that recently, a fund managed by a company under Shoucheng Capital (a wholly-owned subsidiary of the Company) invested in Jianzhi Xinchuang (Beijing) Robotics Technology Co., Ltd. This investment will empower the investee company's core technology R&D and iterative upgrades, build a global physical AI technology ecosystem through open-source mechanisms, and accelerate the commercialization process.
SHOUCHENG (00697) announced that recently, a fund managed by a company under its subsidiary Shoucheng Capital (a wholly-owned subsidiary of the Company) invested in Jianzhi Xinchuang (Beijing) Siasun Robot&Automation Technology Co., Ltd. This investment will empower the investee company's core technology R&D and iterative upgrading, rely on an open-source mechanism to jointly build a global physical AI technology ecosystem, and accelerate the commercialization process. Jianzhi is a data and evaluation infrastructure company oriented toward physical AI models. It has established a business closed loop covering large-scale human skill data collection, data foundation model training and processing, and real-machine cluster evaluation and validation, providing underlying support for the training, evaluation, and scenario deployment of physical AI models. This investment will inject strong development momentum into Jianzhi in key areas such as data model iteration and the evaluation closed loop, continuously strengthen the linkage and win-win outcomes of the global physical AI technology ecosystem through open source, and be committed to promoting a leap in productivity. In the future, the Group will unswervingly continue to increase its investment layout in cutting-edge technologies, deepen strategic cooperation with high-quality enterprises in segmented industries, and through capital empowerment and industrial synergy, carry out positioning around the key element of high-quality data required for the development of physical AI, drive the coordinated development of upstream and downstream links in the industrial chain, and provide solid support for the large-scale commercial application of the Siasun Robot&Automation industry.