半年融3轮！「桥介数物」官宣新融资！

Core Viewpoint - Qiaojieshuwu (Shenzhen) Technology Co., Ltd. has successfully completed its Angel+ and Pre-A financing rounds, raising nearly 100 million yuan within six months through three rounds of financing [1][3]. Financing Details - The Pre-A round was led by Yinshi Capital, with participation from Minghui Zhiyuan and Yijing Capital, while the Angel+ round included investments from Fosun Chuangfu and Qianeng Group [3]. - The funds raised will primarily be used for the research and development of the company's general-purpose robot motion control platform, as well as for expanding the technical research team to accelerate the development of cutting-edge technologies [3]. Company Overview - Founded in May 2023, Qiaojieshuwu is one of the largest developers of general-purpose robot motion control systems in China [3]. - The company focuses on developing the "brain" (motion control system) of general-purpose robots, establishing a leading core technology system in areas such as reinforcement learning, imitation learning, simulation motion control, and control data analysis [3][6]. Team Composition - The founding team is led by Shang Yangxing, who has a strong academic background in robotics and has successfully transitioned academic achievements into industrial applications [5]. - The technical team comprises top talents from prestigious institutions, with an average age of 26, ensuring a blend of technical expertise and innovative spirit [6]. Product Development - Qiaojieshuwu is developing the world's first general-purpose robot motion development platform, which aims to provide world-class motion control capabilities for various robot configurations, including humanoid, quadruped, and wheeled robots [6]. - The platform is expected to standardize, scale, and real-time deliver motion control solutions, significantly improving delivery efficiency and reducing costs in the robotics industry [7]. Industry Context - The embodied intelligence industry is still in its early stages, with significant optimization potential in delivery effectiveness, efficiency, and costs, particularly in the field of robot motion control [7].