China's Westlake Robotics raises fourth funding round in six months

Westlake Robotics has closed a Series A round worth nearly 100 million yuan, roughly $14 million, led by Haiyuan Capital. It is the fourth financing event the Hangzhou-based humanoid robotics startup has completed in just six months.

Combined, those four rounds have pulled in about 500 million yuan, or roughly $74 million, underscoring how quickly capital is flowing into China's embodied-intelligence sector. That pace of fundraising, four rounds in half a year, signals investor urgency to back humanoid robotics plays before the field consolidates.

One point of confusion is worth flagging directly. Some reporting has cited the Series A figure as "$14.8 million," a number that appears to blend the yuan-denominated round with a specific dollar conversion not independently confirmed elsewhere. That figure should not be conflated with the $74 million raised across all four rounds to date, which is a separate, larger total.

From university lab to commercial venture

Westlake Robotics was founded in 2021 by Wang Donglin, a professor whose research at Westlake University forms the technical backbone of the company. The startup was built explicitly as a commercialization vehicle for that academic work, a common path for Chinese robotics ventures spinning out of top research universities.

The company's core technical bet is GAE, a general motion model designed to give humanoid robots more flexible and transferable control. GAE is built to support low-latency teleoperation, letting a human operator guide a robot's movements with minimal lag, along with cross-robot motion transfer and one-to-many control, where a single control scheme can direct multiple robot units.

Where the new capital goes

Westlake Robotics says the fresh funding will go toward building a unified whole-body large model for humanoid robots, a step beyond controlling isolated motions toward coordinating full-body behavior through a single learned system. The company also plans to expand its embodied-intelligence research team.

That combination, a foundation model for whole-body control paired with a growing research staff, points to a startup trying to move from motion-transfer demos toward more general-purpose humanoid capability. Whether GAE and its successor model can scale to commercial deployment, rather than lab and research settings, remains the open question investors are now underwriting.