Chinese embodied AI startup PsiBot has completed a new funding round of more than US$100 million, adding a slate of industrial and financial investors including Ningbo Tuopu Group, a Chery Holdings backed fund, Lens Technology, 37 Interactive Entertainment, Wuhu Investment Holding Group and Fosun Fortune Capital, with Zhuhai Technology Industry Group reinvesting. The capital will support PsiBot’s dual system embodied AI architecture, pairing its Psi R2 operation policy model with the Psi W0 world model for logistics and advanced manufacturing deployments.
This article aggregates reporting from 3 news sources. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
PsiBot’s new nine figure round is another sign that China is pouring serious industrial capital into embodied AI, not just chatbots. The investor mix reads like a who’s who of Chinese manufacturing and local state capital: auto supplier Tuopu, a Chery backed fund, Lens Technology, gaming firm 37 Interactive and multiple municipal vehicles. They are not paying for a demo; they are paying for robots that can actually handle parts, boxes and tools on real factory lines. ([laplaceatlas.com](https://www.laplaceatlas.com/stories/embodied-ai-startup-psibot-raises-over-100-million-in-new-funding-round-57a04125))
In race to AGI terms, embodied AI startups like PsiBot are where model capabilities meet the messiness of the physical world. Their dual system architecture, combining an operation policy model (Psi R2) with an action conditioned world model (Psi W0), is exactly the kind of closed loop needed to turn LLM style reasoning into reliable manipulation. As these systems get better at learning from human teleoperation and high frequency sensor data, they will feed back new training signals that pure text models never see.
Strategically, this funding pushes back against a narrative that China is behind only on frontier language models. If PsiBot and peers can deploy fleets of dexterous arms into logistics and manufacturing, they will generate vast proprietary datasets on real world interaction that could matter as much as extra tokens scraped from the web.


