“大模型六小虎”之一阶跃星辰B+融资超50亿，多地国资参投

Core Insights - StepFun has completed a B+ round financing exceeding 5 billion yuan, setting a record for the largest single financing in China's large model sector in the past 12 months [1] - The company was founded in April 2023 by former Microsoft global vice president Jiang Daxin and is recognized as a leading startup in the AI large model field, alongside other notable companies [1] - StepFun focuses on the development of General Artificial Intelligence (AGI) and has released 22 self-developed foundational models, including significant models with hundreds of billions of parameters [1] Investment Details - The financing round included participation from several state-owned investment institutions, highlighting strong institutional support [3] - Shanghai Guotou Xiandai Private Equity Fund Management Co., Ltd. is a wholly-owned subsidiary of Shanghai State-owned Capital Investment Co., Ltd., focusing on early-stage investments in key industries [3] - China Life Equity Investment Co., Ltd. aims to leverage resources for long-term value investments, with a focus on the healthcare sector through its flagship fund [4] - Shanghai Pudong Venture Capital Co., Ltd. is the first venture capital institution in Pudong New Area, primarily investing in high-tech industries [4] - Shanghai Xuhui Capital Investment Co., Ltd. focuses on early-stage investments in AI and health sectors to support regional economic development [4] - Wuxi Liangxi Fund is a core platform for financial and industrial integration, with significant investments in AI and technology innovation [4] Company Background - StepFun is part of a group of emerging companies referred to as the "six small tigers" in the domestic large model sector, indicating its competitive positioning [1] - The core team includes top experts from the AI field, enhancing the company's research and development capabilities [1] - The company has successfully implemented its products in various industries, including telecommunications and finance, demonstrating its market applicability [1]