DeepSeek invests $20.8 million in Unitree’s Shanghai IPO

The companies, both based ​in China’s eastern tech hub of Hangzhou, said they would ⁠combine DeepSeek’s expertise in AI models with Unitree’s work in mechanical engineering, motion ​control and embodied intelligence.

Chinese artificial intelligence startup DeepSeek has invested 140.8 ‌million yuan ($20.8 million) in robot maker Unitree and agreed to jointly develop AI models for humanoid machines, according to a stock-exchange filing.

DeepSeek received 933,399 Unitree shares, representing 2.31 percent of the ​shares allocated through the Shanghai initial public offering’s strategic placement.

The companies, both based ​in China’s eastern tech hub of Hangzhou, said they would ⁠combine DeepSeek’s expertise in AI models with Unitree’s work in mechanical engineering, motion ​control and embodied intelligence.

Unitree, also known as Yushu Technology, would give preference to DeepSeek ​when procuring model-training services and technical solutions. DeepSeek would similarly favour Unitree when purchasing robots or exploring embodied-AI applications, the filing said.

The partnership targets a key bottleneck for humanoid developers: ​building a robot “brain” capable of understanding unfamiliar surroundings and reliably turning instructions into ​physical actions.

China has developed relatively inexpensive robots capable of walking, running and performing choreographed routines, but ‌useful autonomous work requires models trained on scarce physical-world data, including demonstrations of manipulating objects and responding to changing environments.

Chinese robot makers are operating data-collection facilities in which humans repeatedly guide humanoids through tasks such as folding clothes and opening doors.

DeepSeek’s ​AI models have ​performed strongly on ⁠coding, mathematics and reasoning tests, while competing aggressively on price.

But the company’s strengths have been concentrated in language-model series rather ​than a multimodal system able to process vision alongside text. ​DeepSeek has ⁠released separate vision-language research models, including VL2, but they are not integrated into its flagship commercial model.

A DeepSeek researcher briefly published a project in April on improving visual ⁠reasoning ​through points and bounding boxes before the paper ​and official GitHub repository were withdrawn without a public explanation.

The Unitree partnership could provide DeepSeek with robots ​and physical-world data to accelerate such work.

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