Gasgoo Munich- Maniformer, a one-stop physical AI data service platform, has recently completed a new round of financing worth hundreds of millions of yuan. The round was led by China Telecom, with participation from Zhangjiang Group, while existing shareholders including HongShan and Yuanqi Innovation significantly increased their investment.
The company stated that the proceeds will be used to break through the industry's "data desert" bottleneck, build infrastructure for embodied intelligence data platform supply, expand mass production of MEgo body-less products, solidify full-stack capabilities in data collection, governance, and closed-loop evaluation, and accelerate the implementation of tens of millions of hours of physical interaction data production capacity — thereby reshaping the iteration paradigm for physical world foundation models.
Meanwhile, Maniformer plans to partner with China Telecom to deliver a standardized "cloud network + embodied data" integrated solution. Targeting humanoid robot companies, smart manufacturing firms, research institutes, and government and enterprise clients in smart parks and homes, the initiative aims to drive efficient collection, secure storage, large-scale governance, and standardized supply of embodied data.
Image source: Maniformer
Focusing on the data bottlenecks in the embodied intelligence industry, Maniformer has been working across three fronts—collection, governance, and evaluation—since its establishment in early 2026. It has fully self-developed and reconstructed the embodied intelligence data supply system.
Specifically, on the collection front, Mifeng's self-developed MEgo series body-less collection terminals have achieved mass production delivery and are already gathering data in real-world scenarios such as factories, logistics, supermarkets, homes, hotels, catering, security, elderly care, and cultural tourism. Building on this, Mifeng has constructed a layered data supply pyramid covering all types, from real-machine teleoperation to body-less data collection.
On the governance front, the MEgo Engine data governance service platform launched by Mifeng has bridged the entire automated loop of preprocessing, spatial reconstruction, multimodal annotation, and quality assessment, boosting traditional manual data processing efficiency by more than 10 times.
On the evaluation front, Mifeng has deployed a data feedback flywheel that links task execution, data return, case mining, and data updates into an automated closed loop. This transforms data supply from a one-time delivery into a continuous process that evolves with model deployment. It is reported that in certain application tests, each data loop cycle has lifted task success rates by 5% to 10%.
To date, Mifeng has established over 20 innovation centers across Chinese cities and deployed more than 5 overseas nodes, forging extensive partnerships with leading internet, embodied intelligence, and AI companies at home and abroad.
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