Fangqi Technology Secures Angel Round Funding

Fangqi Technology, a developer of embodied intelligent universal brains, announced the completion of an angel round of funding. The investors included Qidizhixing Venture Capital and other well-known institutions. The company plans to use the funds primarily for core technology research and development, as well as for expanding the research and development team. The funds will also accelerate the validation and commercialization of key technologies in typical scenarios. The company aims to continuously develop a universal skill operating system for robots that can sustainably learn and transfer across different entities. This system will help build a general robot brain and establish infrastructure for learning, depositing, and distributing embodied capabilities across multiple robot entities and scenarios.

Fangqi Technology was established in 2026. The core team members all come from Tsinghua University and cover the entire chain from world models and VLA algorithms to cloud-native systems and industrial commercialization. They possess both cutting-edge research experience and practical experience in real-world scenarios. The company has pioneered the Turing learning paradigm, which involves building a learning framework through course learning, task learning, practical learning, and reflective learning. This approach breaks away from the limitations of traditional remote-controlled learning robots, allowing robots to continuously learn from human data and real-world practices, thereby constructing a scalable learning paradigm.

The company has already completed technical validation of Turing learning and semantic world models in commercial service scenarios. It has applied for multiple technology patents and ranked second in the world at the Stanford Household Challenge BEHAVIOR 2026. The company has formed strategic partnerships with Youdi Robotics and Jiangsu Longhuan to advance pilot projects. Fangqi Technology will use vertical cleaning as a training ground to gradually implement pilot projects in commercial service scenarios, demonstrating clear commercial value and a return-on-investment model. Leiphone reported the story.