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X Square Robot Announces Four Consecutive Financing Rounds, USD $2.8B Valuation

X Square Robot in real-world deployment at a nursing home (Credit: X Square)
  • X Square Robot has closed four consecutive financing rounds ending in a Series C, valuing the Chinese embodied AI startup at more than $2.8 billion as it expands foundation-model development and real-world robot deployments.
  • The company said IDG participated in the Series C, while HSG and Xiaomi backed earlier rounds, adding that previous lead investors include Meituan, Alibaba, ByteDance and Xiaomi.
  • X Square Robot said its platform combines embodied AI models, robot hardware, data pipelines and deployments across household, industrial and logistics settings, including cleaning services in Shenzhen and Beijing and in-home robot trials through its X Family Member Program.

X Square Robot announced it has closed four consecutive financing rounds ending in a Series C, raising its valuation to more than $2.8 billion as the Chinese embodied AI startup expands its foundation-model work and real-world robot deployments. X Square did not disclose the amount raised.

The Shenzhen-based company said the funding will support development of embodied AI models, commercial deployments and the infrastructure needed to train and operate robots in real-world environments.

The company said IDG participated in the Series C round, while HSG and Xiaomi backed the company in multiple earlier rounds. It said previous lead investors include Meituan, Alibaba, ByteDance and Xiaomi. According to X Square Robot, those investments make it the only embodied AI company in China to receive lead-round backing at different stages from four of the country’s major internet technology companies.

“Since day one, X Square Robot has focused on in-house development of foundation models, pursuing a challenging but necessary path,” founder and CEO Wang Qian said in the announcement. “Today, our investments in embodied AI models, scalable, model-driven high-quality data pipeline system and real-world deployment are beginning to deliver clear results.”

X Square’s Platform

At the center of X Square’s platform is a general-purpose embodied AI model designed to help robots perceive, reason and act in complex physical environments. The company said its system combines models, robot hardware, data collection and deployment into one stack.

In April, X Square introduced WALL-B, an embodied AI foundation model built on what it calls a World Unified Model architecture. The company said WALL-B trains perception, language, action and physical prediction in a single network, rather than linking separate systems for vision, language and movement.

X Square has also released open-source models called WALL-OSS-0.5 and WALL-WM. The company said WALL-OSS-0.5 completed more than 80% of four out of 17 real-robot tasks without post-training, while WALL-WM is designed to improve world modeling by linking language, vision and action data around specific events.

The company said it is also building a model-driven data pipeline for automated data collection, cleaning, annotation, quality control and augmentation. According to X Square, the system is intended to speed up model development while creating datasets for complex and less common real-world scenarios.

Deployments

X Square said it is already deploying its model and hardware stack across household, industrial and logistics settings. The company described homes as one of the most difficult test environments because robots must handle varied objects, layouts and user needs.

In household services, X Square has partnered with 58.com to launch an AI-powered cleaning service in Shenzhen and Beijing, where robots work alongside human cleaners in residential environments. Since May, the company has also launched what it calls the X Family Member Program, placing robots in users’ homes for up to one month as household companions.

The company said those deployments are intended to move robots beyond staged demonstrations and into everyday environments. It also said operational data from real-world use can feed back into its models, helping improve future performance.

“As AI moves beyond digital experiences into the physical world, progress will depend on close integration between models, data and robotics,” added Wang. “We’re building that foundation so embodied AI can become part of everyday life.”

Recent funding rounds from X Square include:

Image credit: X Square Robot

Greg Bock
About the author
Greg Bock

Greg Bock is an award-winning investigative journalist with more than 25 years of experience in print, digital, and broadcast news. His reporting has spanned crime, politics, business and technology, earning multiple Keystone Awards and a Pennsylvania Association of Broadcasters honors. Through the Associated Press and Nexstar Media Group, his coverage has reached audiences across the United States.

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