Valuation crushes Yushu and Zhiyuan! Galaxy General Motors, which focuses on "robot store opening", has raised $300 million in financing!

The humanoid robot race welcomes a heavy capital boost again! Recently, Galaxy General Robotics (referred to as "Galaxy General"), which focuses on retail scenarios, officially announced that it has completed a new round of financing of over 300 million US dollars (about 2.1 billion yuan). It not only rewrites the single round financing record in China's embodied intelligence field, but its valuation has soared to 3 billion US dollars (over 20 billion yuan), surpassing peers such as Yushu and Zhiyuan, and topping the current valuation list in the humanoid robot industry.

The financing lineup for this round can be described as "luxurious", led by China Mobile Chain Chief Fund, with joint investment from top domestic investment platforms and industry giants such as CICC Capital, Chinese Academy of Sciences Fund, Su Venture Capital, CCTV Integrated Media Fund, and Tianqi Shares. At the same time, international investment institutions and existing shareholders from Singapore and the Middle East have also increased their investments, demonstrating the high recognition of the market for its technological path and commercial prospects. As of now, the cumulative financing amount of Galaxy General Motors has reached about 800 million US dollars, and it has entered the top tier of industry valuation in just two years, with remarkable growth speed.

Behind the impressive results is the technological hard power support of the core team. Galaxy General Motors was founded in May 2023. Its founder and CTO, Wang He, has a top academic background from Tsinghua University and a PhD from Stanford University. He studied under Professor Leonidas J. Guibas, a member of the American Academy of Sciences, and is a leading scholar in the field of embodied intelligence big models; Co founder Yao Tengzhou combines the academic accumulation of Beihang Robotics Research Institute with millions of experience in mass production of intelligent hardware, providing key guarantees for the landing of technology and large-scale production.

At the stage when the industry generally relied on manual remote operation to collect data, Wang He led his team to take a differentiated technological route. He has repeatedly emphasized the core value of the "synthetic data strategy" in public: "Synthetic data from high-precision physics simulations and physics rendering is currently the most informative and high-density source of data, and theoretically can be infinitely expanded." Based on this judgment, Yinhe General Motors chose the Sim2Real technology path, attempting to break through the bottleneck of embodied intelligence data scarcity through large-scale simulation of synthetic data and achieve low-cost zero sample generalization ability.

In terms of product definition, Galaxy General Motors has broken free from the industry competition of "walking on both feet" and established a core strategy of "brain first, body pragmatic". Unlike the "ontology oriented" manufacturers that focus on bipedal ontology research and development, Galaxy General Motors, as a typical "brain oriented" manufacturer, adopts an innovative design of "wheeled chassis+folding legs" for its core product Galbot. In smooth ground environments such as supermarkets and pharmacies, the wheeled chassis can balance mobility stability and cost advantages, allowing the team to focus their research and development efforts and computing resources on solving core intelligent problems such as generalization grabbing and logical reasoning, accurately meeting the retail scene needs of "robot store opening".

The determination of technology strategy is transformed into intensive product breakthroughs. In 2025, Galaxy General Motors has successively released multiple core models: GroceryVLA, launched in June, achieves zero sample generalization and capture of retail products across all categories, while TrackVLA overcomes the high robustness tracking problem in complex dynamic crowd flow; The NavFoM navigation base model released in November has become the world's first cross ontology navigation model, endowing robots with long-range autonomous navigation capabilities across indoor and outdoor scenes without the need for mapping; In addition, the DexNDM dexterous hand neural dynamics model fills the gap in fine operation calculation, while the Any2Track full body motion tracking system significantly improves the dynamic stability of bipedal robots under complex terrain and external disturbances. A series of technological breakthroughs have laid a solid foundation for the commercialization of its "robot store opening".