China's Galbot raises over $300M at a $3B valuation, a record for embodied AI.

Galbot has closed a new financing round exceeding $300 million at a valuation of about $3 billion, a raise the company describes as a record for both the largest single round and the largest cumulative funding in China's embodied-AI sector. The deal lifts Galbot's total capital to roughly $800 million and pulls in investors spanning China, Singapore, and the Middle East — a geographic mix that underscores how global the capital chase for humanoid and embodied-AI startups has become.

Galbot's approach is worth flagging for buyers: rather than lead with a full bipedal humanoid, the company centers on wheeled mobile manipulators — a robotic torso and arms on a mobile base — that trade legged locomotion for stability, endurance, and lower cost in structured commercial settings. It is the same pragmatic bet visible elsewhere in the market: for many real jobs, capable manipulation on a reliable base beats walking, and it ships sooner. The new funding is explicitly aimed at scaling those deployments.

Commercial validation backs the valuation. Galbot has aligned with heavyweight partners including CATL, Bosch, Toyota, and Hyundai, and has pushed to put its robots into autonomous operation on real manufacturing floors and in retail-style pick tasks. Pairing marquee industrial partners with the sector's largest cumulative raise is precisely the combination that lets a Chinese embodied-AI company argue it is building a durable business rather than riding a hype cycle.

For the category, Galbot's round caps a remarkable 2025 for Chinese robotics capital and valuation, and it sharpens a strategic question for the whole field: how much of the humanoid opportunity actually requires legs. As Western leaders like Figure and Tesla chase full humanoids for the home and factory, a $3-billion mobile-manipulator company is a reminder that the money — and possibly the near-term revenue — may flow first to the robots that solve concrete tasks without trying to walk.