According to AIbase, Maniformer, a flagship embodied intelligence data platform under Zhiyuan Robotics, recently announced the completion of a seed round and angel round financing worth hundreds of millions of yuan. This round was led by Sequoia China, with participation from top-tier capital firms including DCP VGC, BV Baidu Venture Capital, Yunfeng Fund, and Muhua Innovation; simultaneously, industrial institutions such as Junpu Intelligent and Lingchu Intelligent also participated. The capital lineup spans leading VCs and industry players, reflecting a high level of market consensus on the embodied intelligence data infrastructure sector.
According to disclosure, the funds will be primarily invested in three areas: first, continuing to increase investment in core technology research and development, enhancing the automation and scalability of data collection, annotation, and evaluation; second, expanding production capacity and improving the data production system; third, accelerating global expansion and building a world-class data quality management system and data alliance. Through systematic construction, Maniformer aims to solidify its core positioning in embodied intelligence data infrastructure, addressing current industry challenges such as inconsistent data standards, insufficient scale, and varying data quality, promoting the industrial-scale application of embodied intelligence.
As a platform enterprise specializing in embodied intelligence data services, Maniformer is committed to "solving the data challenges of the embodied era." It focuses on real robot scenarios (real machines), bodyless data, and high-precision simulation data, establishing a comprehensive data paradigm covering multiple modalities and scenarios. It builds an integrated end-to-end data service system from data collection, processing, annotation, evaluation, to delivery. At this critical stage where embodied intelligence moves from laboratory validation to industrial application, data capabilities have become a key variable determining model generalization ability and system reliability.
Industry insiders pointed out that with the rapid iteration of robots and embodied large models, high-quality, diverse, and scalable data infrastructure has become a crucial link for industrial breakthroughs. Maniformer's recent acquisition of support from top-tier capital and industry players may accelerate its pace in building a global embodied intelligence data ecosystem, further strengthening its platform advantages.
