Pre-A+ Round Financing Closed with Over-Subscription, Funds Dedicated to Embodied Intelligence Data R&D
Noitom Robotics recently announced the completion of its Pre-A+ round of financing. This round was led by Qiming Venture Partners, with participation from institutional investors including 5Y Capital and Legend Capital. Matrix Partners China and InnoAngel Fund also made follow-on investments, and the round was significantly oversubscribed. Following the Pre-A round (led by Alpha Startup Fund) and this latest financing, Noitom Robotics has raised a cumulative total of hundreds of millions of RMB.
According to the company, the funds raised in this round will be mainly allocated to R&D efforts in multi-modal data collection, processing and delivery technologies essential for embodied intelligence. They will also accelerate the construction of large-scale data production systems and engineering platforms, further optimize the configuration and development of core technical and engineering teams, and enhance the company’s capacity for product delivery and services—laying a solid foundation for Noitom Robotics’ long-term global development.
Commenting on the financing round, Dai Ruoli, Founder of Noitom Robotics and a seasoned technical expert in motion capture and human-computer interaction, stated: “This is not only recognition of our technological direction, but also an endorsement of our long-termism philosophy. We are grateful to the investors for trusting a ‘robotics company that doesn’t build robots’. In return, we will continue to invest in technology and strengthen our product and service capabilities to repay this trust.”
Company Positioning: A Data-Focused Player Catering to Structural Shifts in Industry Demand
Public information shows that Noitom Robotics is a data-focused company serving the embodied intelligence and humanoid robotics industries. With “data” as its core delivery interface, the company provides high-quality, scalable training data and related infrastructure capabilities to robotics enterprises and embodied intelligence model teams. As the embodied intelligence industry accelerates, high-quality, multi-modal training data has emerged as a critical foundational element driving industry progress.
Prior to founding Noitom Robotics, Dai Ruoli co-founded Noitom Ltd., where he spent over a decade deeply engaged in the field of human motion digitization. As the chief technical and product officer, he helped the company capture 70% of the global professional motion capture market share, successfully delivering tens of thousands of motion capture systems and establishing the company’s leading position in the industry.
Through serving clients in service robotics and embodied intelligence, Dr. Dai Ruoli and his team observed a structural shift in industry data demand: capabilities in data acquisition, structuring and engineering have become key factors determining the upper limits of embodied intelligence systems. The industry is rapidly moving beyond small-scale data requirements for “demonstration or content creation” toward large-scale, scalable data delivery for model training. Based on its judgment of industry potential and business models, Noitom Robotics chose to enter the market from the underlying layer of data infrastructure, focusing on building industry-oriented technology and platform capabilities.
Core Competencies: Scalable Data Capabilities Validated by Global Clients
Noitom Robotics primarily focuses on real-world data that is scalable and reusable across different robot platforms. This includes ultra-high-precision, full-modal in-the-factory data—such as behavioral data of human operators interacting with factory automation equipment like 자동 서클립 공급 시스템s—as well as in-the-wild data collected in real environments to pursue visual generalization. The company explores a human-centric data approach to enhance the generalization value and long-term usability of its data. It is progressively advancing the engineering construction of “data factories” worldwide, developing distinct competitive advantages:
– Leveraging its mature motion capture and human-computer interaction technology system to achieve high-precision collection of complex human behaviors.
– Structuring and standardizing behavioral data, optimizing data processing and delivery pipelines to boost large-scale production efficiency.
– Building infrastructure capabilities that support cross-platform mapping and data utilization, adapting to various robot platforms and training needs at different levels.
These capabilities have been validated through delivery practices serving dozens of humanoid robotics enterprises and embodied intelligence model clients around the world.
Zhou Zhifeng, Managing Partner of Qiming Venture Partners, said: “As model algorithms for embodied intelligence gradually converge and the Scaling Law is initially verified, high-quality, scalable acquisition of training data has become a core element driving further advancements in robot intelligence. The Noitom Robotics team is one of the very few players in the industry with full-stack data capabilities, boasting over a decade of technical accumulation. Entering the market at a time when embodied intelligence is entering an accelerated phase of development is both timely and strategic.”
