Dexmal原力灵机两轮融资近10亿元,CEO来自清华“姚班”
Sou Hu Cai Jing·2025-11-14 05:40

Core Insights - Dexmal, a company specializing in embodied intelligence, has completed a significant A+ round financing of several hundred million yuan, with Alibaba as the sole investor [2] - The company aims to utilize the nearly 1 billion yuan raised from both A and A+ rounds for the development and implementation of intelligent robot software and hardware technologies [2] Company Overview - Founded in March 2025, Dexmal focuses on the research and application of embodied intelligence software and hardware technologies [2] - The CEO, Tang Wenbin, is a notable figure with a strong academic background from Tsinghua University and extensive experience in AI product implementation [2] - The core team possesses a unique combination of AI academic expertise and over 10 years of experience in scaling AI-native products, excelling in algorithm development, hardware innovation, data management, and practical application [2] Technological Advancements - The company has developed an end-to-end multimodal embodied intelligence model, MMLA, which integrates various sensor data and models to achieve intelligent generalization across different scenarios and tasks [3] - Dexmal has launched the Dexbotic toolbox and the DOS-W1 open-source hardware product, significantly lowering the barriers to robot usage and enhancing maintenance and modification convenience [3] - The company has also partnered with Hugging Face to create RoboChallenge, the first large-scale real-world evaluation platform for embodied intelligence [3] Competitive Achievements - Dexmal has participated in prestigious global competitions, achieving top rankings in events such as CVPR 2025 and ICRA 2025, showcasing the innovation and leadership of its embodied intelligence algorithms [4] - The company has completed three rounds of financing within eight months, attracting investments from notable venture capital firms [4] Future Directions - Dexmal plans to accelerate collaborative innovation in algorithm-driven, hardware design, and scenario integration within the embodied intelligence field, aiming to bring general artificial intelligence into the physical world [4]