BABA(US:BABA) 3 6 Ke·2025-11-14 08:35Core Insights - Dexmal, a company focused on embodied intelligence, has completed a Series A+ financing round of several hundred million yuan, with Alibaba as the sole investor [1][2] - The total funding raised by Dexmal across three rounds has reached nearly 1.2 billion yuan, with the latest round aimed at developing and implementing intelligent robot software and hardware technologies [2] Company Overview - Dexmal was established in March 2025 and has registered in both Chongqing and Beijing, focusing on the research and application of embodied intelligence software and hardware technologies [2] - The founding team of Dexmal comes from Megvii Technology, led by prominent figures with strong academic backgrounds and over ten years of experience in AI product implementation [2][3] - The CEO, Tang Wenbin, is a notable figure with a background in competitive programming and has previously co-founded Megvii [2][3] Shareholder Information - The top three shareholders of Dexmal include companies linked to the founding team, with significant stakes held by entities associated with Megvii [3][4] - Megvii Technology, a leading AI company in China, has faced challenges in its IPO attempts but remains influential in the AI sector [6] Investment Implications - Alibaba's investment in Dexmal signifies a strategic move to connect with top AI talent and leverage their expertise in a promising new sector [7] - Dexmal has developed a comprehensive technology stack for embodied intelligence, including a multimodal control system and a cloud collaboration platform [7] Industry Developments - Dexmal is actively promoting the development of the embodied intelligence industry through open-source initiatives, including the release of tools and hardware products that lower barriers to entry for robotics [8] - The company has launched a large-scale evaluation platform for embodied intelligence robots, enhancing industry standards and collaboration [8] Future Outlook - Dexmal aims to accelerate innovation in the embodied intelligence field, focusing on algorithm-driven solutions, hardware design, and the integration of real-world applications [9]