阿里巴巴集团投资！这家斯坦福双雄创企再获新一轮融资

Core Insights - Qunche Intelligent recently announced the completion of a new financing round led by Alibaba Group, with participation from several existing shareholders. The funds will be used to accelerate technology product development, application implementation, and industry ecosystem expansion [1][3]. Company Overview - Qunche Intelligent was established at the end of 2023 and is strategically incubated by Feixi Technology. The company focuses on the research and development of embodied intelligent large models and related foundational tools and platforms [3][5]. - The core team is led by Professor Lu Cewu, a renowned scholar in the field of embodied intelligence, who has published over 100 papers in high-level international journals and conferences [5][7]. Product Development and Technology - Qunche Intelligent aims to break through traditional trajectory control frameworks by developing a comprehensive autonomous decision-making capability that covers perception, cognition, planning, and execution [9][10]. - The latest product, Noematrix Brain 2.0, was showcased at the 2025 World Artificial Intelligence Conference. It integrates large language models with physical reasoning mechanisms, enabling robots to understand and execute general instructions given in natural language [12][16]. Application Scenarios - In various demonstration scenarios, Noematrix Brain 2.0 exhibited strong task understanding and execution capabilities, such as in a "robotic cooking station" where it managed dynamic food processing without human intervention [12][14]. - The system has also shown effective collaborative operation among multiple robots in household cleaning tasks, demonstrating task planning and dexterous manipulation abilities [14][18]. Industry Collaboration and Future Plans - Qunche Intelligent has established partnerships with leading companies in retail and home sectors to promote integrated hardware and software solutions for embodied intelligence [18]. - The company plans to leverage its large model technology and data-model closed-loop capabilities to provide practical intelligent robotic systems for various industry clients in the future [18].