❯ Unitree Robotics Reveals Strategic-Placement Roster; DeepSeek Allocated About 141 Million Yuan

ROSTERUnitree Robotics has published the strategic-placement roster for its STAR Market IPO, with 9 investors participating and 8.0893 million shares allocated in total. According to the prospectus, Hangzhou DeepSeek (DeepSeek) was allocated about 933,400 shares — 2.31% of the offering — worth roughly 141 million yuan. It is the first time the model company has appeared as a strategic investor in a hardware company’s IPO lineup.

COHORTAlongside DeepSeek in the same batch: Tencent’s Shanghai Qishan Investment, CNPC’s Kunlun Capital, China Southern Power Grid’s Industry-Finance Holdings Group, and Tianyi Capital Holdings — each allocated 2.23%, all carrying the status of “large enterprises with strategic cooperation ties or long-term cooperation vision with the issuer, and their affiliates.” The offer price is set at 150.80 yuan per share, implying a total market capitalization of about 60.993 billion yuan based on post-offering share capital. Unitree’s rationale in the filing is blunt: bringing in the large-model leader is to focus on joint R&D of large models and embodied AI, improving robots’ understanding of complex scenarios and their generalization capabilities.

SIGNALA company whose core business is models — and which just announced API price hikes — is shelling out 141 million yuan for a strategic placement in a robot-body maker. That suggests the boundaries of the division of labor in embodied AI are loosening. What humanoid-robot startups must reassess: whether their brain-side suppliers could become shareholders, or even rivals. When model makers start holding equity in body makers, procurement and competition get bound together. With CNPC, China Southern Power Grid, and Tianyi — three state-owned players — entering at the same time, Unitree’s downstream scenarios shift from consumer showcases to industrial inspection and energy operations.

▪ SIGNALA model company is paying for robot-body equity — upstream and downstream in embodied AI are crossing into each other’s turf.