Over the past three years, Chinese robotics company AGIBOT has achieved impressive progress. The company’s revenue grew to over CNY 1 billion in 2025 from CNY 3 million in 2023, while also hitting the milestone of being the first humanoid enterprise to reach 10,000-unit shipments globally. The fast growth has been due to AGIBOT’s strong and sustained investment in building a comprehensive foundation from robotic body to brain. The company’s R&D team now has more than 1,000 staff. To create a general-purpose robot ecosystem, AGIBOT will continue to upgrade the integrated single-body, triple-intelligence platform capabilities.  

 Sources: Counterpoint, AGIBOT 

• In terms of Manipulation Intelligence, the introduction of Behavior Foundation Model (BFM) and Generative Control Foundation Model (GCFM) will further optimize humanoid robots’ locomotion skills and enable zero-code generation of complex action sequences, allowing users to easily choreograph movements for humanoid robots.  
• In terms of Interaction Intelligence, the WITA (Robot-Native Multimodal Interaction Model) model will be upgraded to the WITA Omni. The E2E multimodal interaction model directly processes multimodal inputs without losing intonation and contextual information and enables emotion perception and anthropomorphic conversation. 
• In terms of Manipulation Intelligence, AGIBOT will release the self-developed GO-3 (World Reasoning Action Model) in Q3 2026. By integrating the World Action Model or GE-2, the GO-3 is expected to significantly improve robotic performance in handling complex and long-range tasks, marking a key milestone for Artificial general intelligence (AGI). 

Commenting on AGIBOT’s model strategy, Shaochen Wang, Research Analyst at Counterpoint, said, “AGIBOT’s core strategy is Physical AGI, where the triple-intelligence platform serves as the cornerstone. In 2026, this will support the company’s strategy of delivering humanoid robot fleets to various industrial and service scenarios. In the long run, the enabling platform will evolve into an E2E unified architecture and continue to serve as a pivotal driver in AGIBOT’s efforts of turning humanoid robots into efficient and scalable industrial productivity tools.”  

Supported by the single-body triple-intelligence platform, AGIBOT, together with its ecosystem partners, is accelerating the commercial deployment of humanoid robots. During the event, AGIBOT released seven major solutions for embodied AI productivity, namely Loading & Unloading solution, Industrial Handling solution, Logistics Sorting solution, Guidance Assistance solution, Retail Station solution, Security Patrol solution and Commercial Cleaning solution. Each solution will boost revenue potential, spanning from billions to tens of billions of US dollars.  

 Sources: Counterpoint, AGIBOT 

Wang added, “Underpinning the seven core solutions are the collaborative endeavors between AGIBOT and its global strategic partners. Between 2026 and 2027, the key to humanoid robots entering the stage of large-scale deployment in industrial and commercial sectors lies in identifying diverse and promising application scenarios and collaborating with factories or enterprises to achieve the 0-to-1 leap. AGIBOT is steering this transition toward steady progress, backed by its growing partnership ecosystem.”  

AGIBOT CEO Deng Taihua has repeatedly emphasized the importance of ecosystem cooperation. In the upcoming journey from 1 to 100 scaled growth, AGIBOT is committed to empowering the robotics industry development and co-creating validated deployment paradigms together with developers and industrial partners. 

Having been an important contributor to the Embodied AI open-source ecosystem, AGIBOT now provides a complete three-tier technical framework. The 1+3+N system takes the Link-U OS as its backbone, and the middle layer consists of LinkCraft, LinkSoul and Genie Studio, and features the Agent Framework to support diverse applications. Besides, AGIBOT announced the “YuanSheng Ecosystem Development Program” where 2% of annual revenue in 2026, worth of over $14 million, will be invested in promoting the ecosystem development, and total investment will exceed $300 million over the next five years. 

 Sources: Counterpoint, AGIBOT 

Industry regards 2026 as a pivotal year for the industrial deployment and commercialization of humanoid robots. At the current stage, great challenges remain in verifying the practical value of humanoid robots across industrial scenarios, and delivering highly reliable, low-cost solutions with strong generalization capabilities to enterprise users. Ethan Qi, Associate Director at Counterpoint, commented, “As a pioneer in the humanoid robot industry, AGIBOT is becoming a key force in breaking the deadlock rather than waiting. Its innovative XYZ Embodied Intelligence Industrial Development Curve accurately depicts the evolution of humanoid robots. Growth will not follow a linear trajectory, but a stepped-up pattern. Each new milestone achieved will translate into leapfrog expansion of industrial scale.” Robotic hardware, models, and data must develop in synergy to navigate the development curve, and a well-established ecosystem leveraging all parties across the industry will be essential. 

 Sources: Counterpoint, AGIBOT 

Besides ecosystem collaboration, AGIBOT has made investments across multiple dimensions – not only to expand its industry footprint, but also to help address key bottlenecks in different vertical fields. These invested and affiliated entities include Sharebot, which is engaged in the innovative Robot-as-a-Service (RaaS) business, Maniformer, aiming to become a one-stop physical AI data platform, AGILINK, which focuses on dexterous hands, AGIQUAD dedicating to the quadruped robot segment, as well as Brawn Robotics and Swancor (a listed company on the A-share market).  

Through comprehensive investment in the technology and ecological layout of humanoid robots, AGIBOT is expected to remain an important participant in the industrialization of embodied AI and the new round of productivity transformation.