MindOn Closes Pre-A Round to Build Next-Generation General-Purpose Robot Brain

MindOn, an embodied intelligence company, recently announced the completion of its Pre-A funding round, led by Gaorong Ventures. The proceeds will support MindOn's continued investment in core capabilities — scaling data infrastructure, strengthening model performance, expanding its research and engineering teams, and accelerating the path from general-purpose robotics intelligence to real-world applications.

Building a General-Purpose Robot Brain

Enabling Capability Transfer Across Robot Form Factors

This funding round marks a significant milestone for MindOn and represents a critical step toward the company's mission of building a general-purpose "brain" for robots — one that can learn from human-centered data, operate on humanoid platforms, and transfer capabilities across different robot form factors.

Over the past several months, MindOn has made substantial progress. The company has validated that a single model, trained on a unified data paradigm, can not only achieve strong performance on humanoid robots but also transfer to dual-arm robots and other platforms. This reinforces the company's conviction that robot intelligence can achieve greater scalability, higher data efficiency, and generalization across diverse embodied forms.

Helping Robots Assist Humans

In More Real-World Scenarios

With this round of funding, MindOn will continue expanding its robot data engine, enhancing model capabilities, and accelerating deployment in complex real-world environments. In the next phase, the company will focus on bringing this intelligence system into industries that can deliver tangible productivity gains and social value, including healthcare, construction, warehousing, and manufacturing.

Robot hardware is advancing rapidly. The emerging bottleneck will be intelligence — how robots understand the world, adapt to new tasks, and operate reliably across diverse environments. MindOn is committed to building a unified robot intelligence brain, starting with humanoid robots and gradually extending to other form factors, enabling robots to learn more efficiently, generalize more broadly, and ultimately assist humans in a wider range of real-world scenarios.