X Square Robot Reaches $2.8 Billion Valuation After Four Funding Rounds

Jun 30, 2026
X Square Robot has completed four consecutive financing rounds, reaching a valuation of over 2.8 billion dollars. The funding will support the development of embodied AI foundation models and commercial robotics deployments.

X Square Robot has completed four consecutive financing rounds culminating in a Series C, bringing its valuation to over 2.8 billion dollars, announced in a press release. The company, based in Shenzhen, develops embodied AI foundation models and general purpose robots for real world environments.

The new funding includes participation from investors such as IDG, HongShan, and Xiaomi, along with earlier backing from Meituan, Alibaba Group, and ByteDance. This makes X Square Robot the only embodied AI company in China to have received lead round investments from all four major internet technology firms.

The company plans to use the funds to advance core technologies and foundational research in embodied intelligence. Its systems combine foundation models, robotics hardware, and proprietary data pipelines to enable adaptive and generalizable robot behavior across different tasks.

X Square Robot is deploying its models and hardware in household, industrial, and logistics settings. In collaboration with 58.com, it has launched an AI powered cleaning service in Shenzhen and Beijing, where robots operate alongside human cleaners in residential environments.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Robotics Brief, AI Funding Brief or Daily AI Brief.

Also, consider following us on social media:

AI & Robotics AI Funding News AI Brief AI Brief (X)
Free newsletter

Industrial AI Weekly

The latest advancements in smart manufacturing, predictive maintenance, AI-driven quality control, supply chain & more.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.