Sinovation Ventures backs Chengdu robotics firm Rui Xin Xing in $4.49M round
What's the deal? Chengdu-based embodied-AI company Rui Xin Xing has raised US$4.13M in an early-stage round backed by Sinovation Ventures, Zhongli and Today International. The company builds embodied intelligence technology for industrial settings and claims its picking system can handle previously unseen parts without dedicated retraining.
What's the endgame? Founded in 2019, Rui Xin Xing started with mobile robot controllers and built expertise in SLAM, navigation and visual perception around AGV and AMR products. It is now extending that work to full embodied-intelligence robots aimed at cutting the cost and complexity of deploying machines in factories.
Why it matters: In industrial picking, robots face parts of varied shapes and sizes. Traditional systems need data collection, labelling and retraining for each new part — at least a week per item and costs that can reach thousands of yuan. Rui Xin Xing says its "human-brain-inspired" adaptive model skips that step, learning on the job and reusing knowledge from similar objects.
The product: The company and investor Zhongli launched a first-generation industrial picking robot in June 2025. In November 2025, it followed with a "flying box" system and a dual-arm second-generation robot that adapts to more part types. Rui Xin Xing says its approach also allows cheaper hardware — a 1,000-yuan 3D camera in place of high-precision units costing tens of thousands.
Where it stands: Rui Xin Xing is running pilot tests at factories including Zhejiang Zhongli, HaierDealroom has a profile for this one. Try Dealroom →, BOE and Innolight. Founder Zhou Jun said the firm wants robots that can "learn while doing" and transfer knowledge to new tasks, but acknowledged more complex jobs such as assembly "still need more data."
The signal: China's embodied-AI sector drew US$12.9B across 322 deals in the first half of 2026, according to ITjuzi data cited by Reuters, with investors backing systems that adapt to unfamiliar tasks. Rui Xin Xing's round — mixing venture and industrial backers — fits the shift toward practical factory use, though its no-retraining claims await independent validation and proof of repeatable deployment.
Read more: 36kr.com
Image credit: Marion Doss
