Yunqi Capital Portfolio Company Noematrix Secures Another Strategic Funding Round of Hundreds of Millions of RMB | Yunqi Partners

Recently, Yunqi Capital portfolio company Noematrix, an early-stage embodied intelligence investment, announced the completion of a new funding round of several hundred million RMB. Investors include the Shanghai Jiao Tong University AI Future Fund (Venture Fund), Shanghai Chuangzhi Technology Co., Ltd. (a wholly-owned subsidiary of Shanghai Chuangzhi Academy), Wuxi Data Group, V-Capital, and others.

The participation of a top-tier academic institution and a core local data industry platform further underscores the recognition Noematrix has earned from industry, academia, research, and capital circles alike. Read on for details in this edition of Yunqi Partners.

The following is adapted from Noematrix

The capital market's sustained confidence in Noematrix stems from its end-to-end closed-loop capabilities — spanning self-developed foundational models, real-world scenario data collection, proprietary hardware development, and scenario deployment feeding back into model optimization — enabling a two-way empowerment between technological iteration and commercial implementation.

At the model level, Noematrix remains committed to its self-developed general-purpose embodied intelligence large model roadmap. Through pre-training on massive real-world scenario data and force-position hybrid post-training, the company continuously iterates Noematrix Brain, its general-purpose embodied intelligence "brain" for physical environments, providing robots with complete closed-loop decision-making capabilities from instruction comprehension and task planning to environmental perception and execution feedback. The company plans to officially release its next-generation self-developed embodied intelligence world model in the near future.

Built on long-term technical depth and scenario refinement, Noematrix robots have already achieved batch deployment in pharmacies. Its "embedded upgrade" approach requires no modification to existing shelf structures, needs only 2.5 square meters of space, and directly integrates with stores' existing order systems — operating stably within original aisle environments to become a replicable, scalable benchmark for commercial embodied intelligence deployment.

Following this funding round, Noematrix will continue advancing the R&D and iteration of embodied intelligence large models with strong generalization capabilities and high autonomous decision-making capacity, accelerating the real-world deployment of embodied intelligence in scenarios such as hotel laundry and home organization. The company aims to make embodied intelligence a bridge connecting the digital and physical worlds, creating sustainable, quantifiable commercial value across thousands of industries.