About Us
Who We Are?
Providing an Intelligent Singularity Spanning the Physical World

We are driving development of Embodied Intelligence in China, dedicated to general-purpose embodied AI. Founded in December 2023, X Square Robot specializes in ""General Embodied Foundation Model"" robots, leveraging real-world data as the primary source for creating versatile robots with advanced manipulation capabilities. We are one of the first companies in China to realize a full end-to-end general embodied foundation model.

Our Vision
Making robots an integral part of everyday human lives
测试

2023.12

Completed AngelRound Financing

Operations Launched in Shenzhen

2024.03

Released the initial version of the embodied intelligence foundation model

Delivered China’s first demo centered on an embodied intelligence foundation model with complex manipulation capabilities, reaching world-class action complexity

2024.10

Released the WALL-A model within the Great Wall (GW) series

Completed RMB-hundred-million–level Pre-A and Pre-A+ financing rounds

2024.08

Built the first large‑scale industrial data acquisition facility in China

2024.11

WALL-A model demonstrated exceptional long-horizon training and inference, generalization, high robustness and success rate in fine manipulation and complex random environments.

Secured hundreds of millions of yuan in Pre-A++ round financing

2025.01

Achieved breakthroughs in semantic navigation and language-guided manipulation

Announced a RMB-hundred-million–level Pre-A++ round

WALL-A demonstrated zero-shot generalization on previously unseen task scenarios

2025.07

First in the industry to enable foundation-model–controlled, high-DoF dexterous manipulation

At WAIC, QuantaX1 demonstrated autonomously planning and executing long-horizon complex tasks

2025.04

“Quanta X1” achieved early commercial deployment in open environments

Achieved industry-leading breakthroughs in embodied chain-of-thought. Completed hundreds of millions of yuan in Series A financing

2025.08

Officially launched Quanta X2、high-DoF Artixon Hand (20 degrees of freedom per hand)

Introduced an industry-first, integrated full-body manipulation solution combining humanoid arms with high-DoF dexterous hands Completed nearly 1 billion yuan in Series A+ financing

2025.09

Open-sourced the end-to-end embodied intelligence foundation model WALL-OSS, along with training code

Established China’s first open-source ecosystem for embodied intelligence foundation models

2026.01

X Square Robot reported to the Premier Li Qiang

Gradually expanded into multiple high-value sectors including industrial manufacturing, logistics, elderly care and smart home Completed 1 billion yuan in Series A++ financing

2025.11

WALL-OSS has been integrated into LeRobot

The WALL-A model pioneers a new architecture that deeply integrates VLA and world models, greatly improving the robot’s zero-shot generalization for mobile manipulation in unstructured environments

2026.04

Released WALL-B, the world’s first embodied founda-tion model based on a World Unified

Model architecture Completed Series B financing, invested by Xiaomi

Core Team
Our core team brings together leading global AI and robotics experts, united by a drive to push the boundaries of embodied intelligence.
The team includes an original researcher behind the Attention mechanism—the foundation of the Transformer architecture—as well as senior scientists from world-class robotics labs, the algorithm leader behind one of China’s earliest 100-billion-parameter foundation models, and veteran professionals from top robotics hardware companies.
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Our Investors

We are also honored for the support of our leading investors, including Meituan, Lightspeed China, Legend Capital, and DragonBall Capital, who share our mission of bringing embodied intelligence to real-world applications.

Our Footprints
With R&D and operations centers in Beijing, Shanghai, and Shenzhen, we bring together experts in AI algorithms, robotics hardware, and system design—building a powerful cross-city innovation network.