Dexmal - 原力灵机
Chongqing-based embodied AI startup building end-to-end intelligent robots for industrial and logistics automation.
Dexmal, founded in March 2025 and headquartered in Chongqing, China, is an embodied intelligence startup developing integrated software and hardware robotic systems for industrial and logistics automation. Founded by Tang Wenbin (alumnus of Tsinghua University's Yao Class and former co-founder and CTO of Megvii) alongside key Megvii veterans, Dexmal applies end-to-end large language models (LLM), vision-language models (VLM), and reinforcement learning to endow robots with universality, reliability, dexterity, and intelligence. The company has released Dexbotic, an open-source PyTorch-based vision-language-action toolbox, and the DOS-W1 open-source robot hardware platform.
Dexmal co-developed RoboChallenge with Hugging Face — the world's first large-scale real-robot evaluation platform for embodied intelligence. The company has raised nearly CNY 1 billion ($138M) across Series A and A+ rounds led by NIO Capital and Alibaba Group.
Primary type & automation activities this supplier delivers:
DOS-W1 (Dexbotic Open Source-W1)
- Model: DOS-W1
- Launch Year: 2025
Open-source robot hardware platform enabling low-threshold deployment and modification of embodied AI robots.
Contact Dexmal
WEBSITE
https://www.dexmal.com/PHONE
+1 (617) 230-9749HEADQUARTERS
China
Company Facts
Founded
2025
Primary Role
Manufacturer
Company Size
-
Primary Region
Asia-Pacific
Annual Sales
-
Funding Stage
-
Funding Total
-
Dexmal Launches DM0.5 Model and DexOS to Enhance Embodied AI Productivity
Dexmal has introduced its DM0.5 foundation model, Apex universal robot, DexOS operating system, and MaaS platform, aiming to bridge the engineering gap between embodied AI models and practical productivity. This launch marks a significant step in the company's strategy to enhance the application of AI in real-world scenarios, with a focus on improving operational efficiency. The introduction of these products is crucial as they represent a comprehensive approach to integrating AI into various sectors. By addressing the final engineering challenges, Dexmal seeks to enable more seamless interactions between AI systems and physical environments, potentially transforming workflows across industries. The DM0.5 model is designed to optimize performance, while DexOS provides a robust operating framework for managing AI tasks. Looking ahead, Dexmal's three-stage strategy will be pivotal in determining the success of these innovations. The company has not disclosed specific timelines for the rollout of these products, but the focus on enhancing productivity through embodied AI suggests a proactive approach to market demands and technological advancements.
Technology
ROBOTTODAY Weekly July 6 – 10, 2026
This week in robotics: AI² Robotics raises $735M for wheeled humanoids, Unitree G1 performs first live surgery, Dexmal launches DexOS platform, Agility Robotics announces SPAC, and Ondas acquires DZYNE for $875.8M. July 6–10, 2026.
Dexmal Introduces DM0.5 Model and DexOS at Action Developer Conference
Dexmal has launched its DM0.5 foundation model, DexOS operating system, and an embodied Mobility-as-a-Service (MaaS) platform during the Action developer conference. This event took place recently and aims to position Dexmal as a key player in the robotics industry by creating a versatile platform akin to Android for robotics applications. The introduction of the DM0.5 model and DexOS is significant as it seeks to address the challenges of scaling robotic models into practical, real-world scenarios. By providing a unified operating system and a robust foundation model, Dexmal aims to enhance interoperability and functionality across various robotic applications, potentially transforming how developers approach robotics solutions. Looking ahead, Dexmal's next steps involve further development of its MaaS platform and expanding the capabilities of the DM0.5 model. No further timeline was disclosed at the time of publication, but industry watchers will be keen to see how these innovations influence the robotics landscape and attract developer interest.
Robotics
