Venture(US:VEMLY) 3 6 Ke·2025-06-19 02:33Core Insights - YunJinWei, a company focused on developing embodied intelligent operating systems, recently completed a Series A+ funding round, raising 10 million yuan to enhance its platform, expand product offerings, and increase ecological coverage in various industry scenarios [1][3] - The global market for embodied intelligent devices is projected to exceed $25 billion by 2024, with a compound annual growth rate (CAGR) of nearly 20%, and China's demand for intelligent transformation in industrial automation and smart cities accounts for over 35% [1][2] - The company aims to address the urgent need for multimodal AI in physical environments, as traditional language models can only handle one-dimensional text data, while industries require integration of visual, sensor, and control command data [1][2] Technology and Innovation - YunJinWei's proprietary YunJin OS utilizes the MaM (Model-Alloy-Model) synthesis model, which achieves nanosecond-level collaborative scheduling of heterogeneous models, significantly improving efficiency in scenarios like intelligent inspection [2] - The architecture addresses the challenge of fragmented physical world data by allowing over 90% of private multimodal data to be processed on edge devices, thus reducing data security costs [2] - The VT-Transformer framework developed by YunJinWei reduces model inference latency to 12ms and decreases memory usage by 85%, enabling billion-parameter multimodal models to run on cost-effective edge hardware [2] Market Penetration and Vision - As of Q2 2025, YunJinWei has served over 120 enterprises, generating revenue in the tens of millions, with notable clients including China Electronics, Guiyang Rail Transit, SAIC Group, and Shanghai Tunnel [3] - The founder, Wang Wenyi, emphasizes the vision of making AI accessible to every enterprise, facilitating low-cost training and inference for intelligent systems [3] - The team comprises experienced professionals from various fields, including system software, chip design, and visual AI, and has established partnerships with research institutions to enhance its technological capabilities [3]