Wuwen Zhike closes a Series A for its Physical AI data infrastructure

Wuwen Zhike, a physical-AI data-infrastructure start-up, has closed a Series A round of several hundred million yuan, led by Hongtai Fund with Hongshan Capital, Zhongdian Shurong and Lion City Capital joining and several early backers topping up. The company says it will pour the proceeds into research and scale-up of its world-model-driven Physical AI stack.

Humanoid robot performing a physical task
Embodied-intelligence systems are the main buyers of the real-world data Wuwen Zhike produces. (Image: CC BY-SA 4.0 via Wikimedia Commons)

Its self-built physical-AI data base ‘WuYin’ and world simulator ‘WuQiong’ form a ‘world model times data factory times world simulator’ system that links real-world capture, automated production, world reconstruction, physical simulation and evaluation into a Real2Sim2Real loop. The firm says its world-understanding model lifts raw-to-model-ready data efficiency by 500 per cent to 1,000 per cent, and its simulator cuts SimReady asset build time from three days per asset to five minutes, roughly a 300-fold gain, while pushing simulation fidelity for flexible objects to 90 per cent with contact error under 1 per cent.

The technology is turning into commercial results. Wuwen Zhike says its embodied-intelligence business has accumulated orders worth several hundred million yuan, up more than 3,000 per cent year on year, with revenue expected to grow over 1,000 per cent, top-client coverage above 80 per cent and a repurchase rate above 80 per cent. Founder and chief executive Liu Shengxiang argues the industry’s centre of gravity is shifting from robot bodies and large models toward upstream data infrastructure.

Editor’s note: This is an adapted translation of the original 36Kr report. It has been trimmed and restructured for readability for an international business audience. The full original (in Chinese) is at https://36kr.com/p/3974793522344197.

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