X Square Robot unveils Quanta X2 and Wall-OSS AI, backed by $100M funding

X Square Robot unveiled Quanta X2, a humanoid robot butler designed to handle daily chores, alongside Wall-OSS, an open-source embodied AI model intended to help robots cope with unpredictable real-world tasks. The announcements come with a roughly $100 million Series A+ funding round led by Alibaba Cloud, with participation from HongShan, INCE Capital, Meituan, Legend Star and Legend Capital.

Quanta X2 stands about 5 feet 8 inches tall and weighs roughly 210 pounds. It features 62 degrees of freedom for smooth, lifelike motion, a seven-degree-of-freedom robotic arm and dexterous hands capable of sensing pressure and performing delicate movements. Its modular clamp system can attach brushes or mop heads for 360-degree cleaning, enabling tasks from sweeping to scrubbing. With an arm reach of 30 inches, a payload capacity of roughly 13 pounds and precision down to 0.001 inches, X2 is pitched for use in homes, hotels and light industrial settings.

Wall-OSS is an open-source embodied AI model designed to power the robotics stack. Trained on vision-language-action data, it helps robots think and act across unpredictable tasks. Unlike task-specific systems that falter outside narrow conditions, Wall-OSS aims to generalize across multiple robot types. It also addresses challenges such as catastrophic forgetting and syncing vision, language and action. By enabling robots to reason, plan and execute more seamlessly, Wall-OSS aims to move from controlled labs into real-world environments. Developers will be able to access Wall-OSS on GitHub and Hugging Face to build community-driven datasets and accelerate adoption.

What this means for home life and workplaces is a step closer to robots that can vacuum, deliver items or assist with more complex tasks without being limited to factory floors. Quanta X2 demonstrates a hardware approach that blends mobility with dexterous manipulation, while Wall-OSS provides an open software foundation intended to escalate collaboration among developers and manufacturers. By making Wall-OSS open source, X Square Robot is inviting researchers and startups worldwide to contribute datasets, benchmarks and improvements, potentially accelerating iterations beyond what any single company could achieve alone.

The funding round, led by Alibaba Cloud with participation from HongShan, INCE Capital, Meituan, Legend Star and Legend Capital, signals strong investor confidence in embodied AI and the open-source model as catalysts for broader robotics adoption. Analysts say the combination of a capable, modular robot platform and an open, interoperable AI stack could reduce development time and costs, helping to bring consumer- and business-facing robots to market more quickly.

As with any advanced robotics and AI push, questions remain about reliability, safety, cost and privacy. Industry observers note that the success of Quanta X2 and Wall-OSS will depend on rigorous testing, transparent performance metrics and clear standards for interoperability across devices and software. If the promises materialize, the era of robot assistants handling chores, deliveries and collaborative tasks in homes, hotels and offices could arrive sooner than previously expected.

In the meantime, X Square Robot says the combination of embodied AI and open-source collaboration is intended to push robots from impressive demos toward reliable, affordable tools integrated into daily life. The company and its investors are betting that a community-driven approach will yield practical innovation and faster real-world deployments, even as researchers and policymakers weigh how best to govern safety and data use in increasingly autonomous machines.