X Square Robot, an embodied AI company developing general-purpose embodied intelligence robots and foundation models for real-world environments, today announced the closing of four consecutive financing rounds culminating in a Series C, bringing its valuation to over US$2.8 billion (RMB 20 billion) and positioning the company among China's highest-valued embodied AI startups.
The financing brings together a diverse group of strategic and financial investors, including leading technology companies, industrial partners and venture capital firms. IDG participated in the Series C round, while HongShan and Xiaomi have backed the company in multiple previous rounds. Combined with earlier lead investments from Meituan, Alibaba, ByteDance and Xiaomi, X Square Robot has become the only embodied AI company in China to secure lead-round backing at different stages from four of the country's leading technology companies.
Founded in 2023, X Square Robot develops end-to-end embodied AI systems that combine foundation models, robotics hardware and proprietary data pipeline system. Rather than relying on traditional rule-based automation, the company's approach enables robots to adapt to changing environments and generalize across a wide range of tasks.
Building a Full-Stack Embodied AI System
X Square Robot is building a full-stack embodied AI system that combines foundation models, robotics hardware, proprietary model-driven high-quality data pipeline system and real-world deployment. At its core is a general-purpose embodied AI model designed to enable robots to perceive, reason and act in complex physical environments.
In April 2026, the company introduced WALL-B, an embodied AI foundation model built on its World Unified Model architecture. Unlike modular VLA approaches that connect separate vision, language and action components, WALL-B trains perception, language, action and physical prediction within a unified network, enabling stronger multimodal understanding, spatial reasoning and continual learning from real-world interactions.
The company has also open-sourced WALL-OSS-0.5 and WALL-WM, extending its unified approach to robot manipulation and world modeling. WALL-OSS-0.5 achieved over 80% autonomous completion on four of 17 real-robot tasks without post-training, while WALL-WM introduces event-level prediction by aligning language, vision and action data around meaningful events, enabling stronger cross-modal learning and physical-world prediction across reasoning, manipulation and generalization tasks.
To accelerate model development, X Square Robot has built a scalable, model-driven data pipeline spanning automated data collection, cleaning, annotation, quality control and augmentation. Combined with real-world deployment, the system enables rapid model iteration while creating high-quality datasets for complex and long-tail scenarios.
Real-World Deployments Already Underway
X Square Robot is deploying its model and hardware stack across household, industrial, and logistics scenarios. Among these, household settings represent one of the most complex and important testbeds for real-world deployment.
In this area, the company has partnered with 58.com to launch an AI-powered cleaning service in Shenzhen and Beijing, where robots work alongside human cleaners in real residential environments. Since May, X Square Robot has also launched the "X Family Member Program," where robots live with users' families for up to one month as household companions, responding to a broader range of everyday needs. Together, these initiatives bring embodied robots beyond staged demos and into real homes and everyday life.
Beyond the home, X Square Robot is expanding into industrial and service-sector scenarios where embodied AI must meet higher standards for precision, stability and productivity. Its model-powered robots are being introduced into automotive supply-chain production lines, complex logistics workflows such as intelligent sorting and flexible parts feeding, and eldercare facilities where they can support delivery, companionship, cleaning, organization and safety patrols. Together, such deployments broaden the company’s real-world testing ground from homes to factories, logistics networks and care facilities, showing how embodied AI can move beyond controlled demonstrations and into commercially demanding environments.
To learn more, visit https://x2robot.com/en.