X Square Robot brings its valuation to $2.8B with four consecutive funding rounds

X Sq. Robotic Expertise Co. at the moment stated it has closed 4 consecutive financing rounds, culminating in a Collection C. These rounds convey the embodied AI and basis mannequin developer’s valuation to greater than $2.8 billion. 

The Shenzhen, China-based firm stated it’ll use the funding to additional put money into foundational analysis and core applied sciences. X Sq. Robotic stated it plans to advance towards general-purpose embodied AI.

“Since Day 1, X Sq. Robotic has centered on in-house improvement of basis fashions, pursuing a difficult however obligatory path,” acknowledged Wang Qian, founder and CEO of X Sq. Robotic. “Immediately, our investments in embodied AI fashions; a scalable, model-driven, high-quality knowledge pipeline system; and real-world deployment are starting to ship clear outcomes.”

Based in 2023, X Sq. Robotic develops “end-to-end” embodied AI methods. Somewhat than depend on conventional rule-based automation, the corporate stated its strategy allows robots to adapt to altering environments and generalize throughout a variety of duties.

The financing brings collectively strategic and monetary buyers, together with main know-how firms, industrial companions, and enterprise capital corporations, the corporate stated. IDG participated within the Collection C spherical, whereas HongShan and Xiaomi have backed X Sq. in a number of earlier rounds.

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X Sq. Robotic focuses on end-to-end autonomy

X Sq. Robotic stated it’s constructing a full-stack embodied AI system. Its system combines basis fashions, robotics hardware, a proprietary data-pipeline system, and real-world deployments. At its core is a general-purpose embodied AI mannequin designed to allow robots to understand, motive, and act in complicated bodily environments.

In April 2026, the corporate launched WALL-B, a basis mannequin constructed on its World Unified Mannequin structure. Not like modular vision-language-action (VLA) approaches, WALL-B trains notion, language, motion, and bodily prediction inside a unified community. This allows stronger multimodal understanding, spatial reasoning, and continuous studying from real-world interactions, in line with X Sq..

The corporate has additionally open-sourced WALL-OSS-0.5 and WALL-WM, extending its unified strategy to robotic manipulation and world modeling. WALL-OSS-0.5 achieved over 80% autonomous completion on 4 of 17 real-robot duties with out post-training, X Sq. stated.

WALL-WM introduces event-level prediction by aligning language, imaginative and prescient, and motion knowledge round significant occasions. This allows stronger cross-modal studying and physical-world prediction throughout reasoning, manipulation and generalization duties.

To speed up mannequin improvement, X Sq. Robotic has constructed a scalable, model-driven knowledge pipeline spanning automated knowledge assortment, cleansing, annotation, high quality management, and augmentation. When mixed with real-world deployment, the corporate claimed that its system allows fast mannequin iteration whereas creating high-quality datasets for complicated, long-tail situations.

X Sq. takes on the problem of house robots

X Sq. Robotic is deploying its mannequin and {hardware} stack throughout family, industrial, and logistics situations. Amongst these, family settings symbolize probably the most complicated and necessary testbeds for adoption and deployment.

On this space, the corporate has partnered with 58.com to launch an AI-powered cleansing service in Shenzhen and Beijing, the place robots work alongside individuals in actual residential environments. Since Could, X Sq. Robotic has additionally launched the “X Household Member Program,” the place robots dwell with customers’ households for as much as one month as family companions, responding to a broader vary of on a regular basis wants.

Collectively, these initiatives convey embodied robots past staged demos and into actual properties and on a regular basis life, stated X Sq. Robotic. The corporate asserted that these deployments create a steady suggestions loop through which operational knowledge improves mannequin efficiency, serving to speed up progress towards general-purpose embodied intelligence.

“As AI strikes past digital experiences into the bodily world, progress will rely on shut integration between fashions, knowledge, and robotics,” Wang stated. “We’re constructing that basis so embodied AI can develop into a part of on a regular basis life.”

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