Noematrix Raises Multi-Million Yuan in New Funding Round

Noematrix, a prominent player in embodied artificial intelligence, has successfully closed a new funding round totaling several hundred million yuan. The investment was spearheaded by Wuxi Data Group, with significant participation from the Shanghai Jiao Tong University AI Future Fund, Shanghai Chuangzhi Academy's wholly-owned subsidiary Shanghai Chuangzhi Intelligence Technology Co., Ltd., and Yi Village Capital. This latest infusion of capital marks another significant milestone for the company, following previous backing from notable investors such as Prosperity7 Ventures, Sequoia China, C Capital, Alibaba, and Sea Limited.

Established in November 2023, Noematrix has dedicated itself to the foundational research and development of embodied intelligence systems and core models. Its flagship product, the 'Noematrix Brain,' underpins a comprehensive suite of hardware and software solutions designed for the entire lifecycle of data acquisition, model training, deployment, and application in embodied robotics. The company's focus is on providing robots with a complete decision-making loop, encompassing instruction comprehension, task planning, environmental perception, and execution feedback.

The embodied AI sector is witnessing a strategic shift from demonstrating isolated actions to ensuring sustained operational stability in real-world environments. This evolution highlights the critical need for robots to deeply understand physical world dynamics and autonomously adapt to unpredictable conditions, a challenge that world models are increasingly tasked with addressing. Noematrix's approach integrates both real-world and simulated data for training. Their innovative 'accompanying data collection' strategy utilizes proprietary devices like the CoMiner exoskeleton and RoboPocket portable collector to efficiently gather data across diverse settings, from homes to industrial sites, building a robust database of physical scenarios.

This dual-data strategy aims to enhance model robustness and stability through real-world data, while leveraging simulation for scalability and expanding capability boundaries. Furthermore, Noematrix has developed a closed-loop system integrated with AI Agents. This system analyzes tasks, dispatches commands, optimizes data collection behaviors, and dynamically adjusts subsequent collection based on data distribution, significantly boosting the efficiency of high-quality data acquisition. The company emphasizes a self-developed, general-purpose embodied AI large model, pre-trained on extensive real-world data to establish a fundamental understanding of the physical world, further refined through force-position hybrid training for precise control and execution.

Noematrix has already achieved commercial deployment in the pharmacy sector, with its robots operating in multiple leading pharmacy chains. The 'embedded upgrade' route allows for rapid integration without altering existing shelf structures, requiring minimal space and directly interfacing with store order systems. This solution addresses a key industry pain point: the high cost of staffing for sporadic night-time orders. The standardized nature of online order fulfillment, requiring precise picking rather than complex customer interaction, is an ideal application for robotics. Despite the complexity of managing thousands of SKUs and variable product placements, Noematrix's system demonstrates stability by effectively handling numerous edge cases and unique product handling requirements.

With this new funding, Noematrix plans to accelerate the research and iteration of its embodied AI large models, focusing on enhanced generalization and autonomous decision-making capabilities. The company aims to expedite the deployment of embodied intelligence in broader commercial scenarios, including general retail and hospitality services. The investment from Shanghai Jiao Tong University and Shanghai Chuangzhi Academy signifies a deepening collaboration in research and capital, while Wuxi Data Group's involvement is set to drive the development of city-level embodied AI datasets and industrial applications.