Chinese Robotics Firm Galbot Raises RMB2.5 Billion at Over RMB22 Billion Valuation
Galbot, a Chinese embodied intelligence robotics company, announced a RMB2.5 billion (about USD370 million) funding round in 2026, lifting its valuation above RMB22 billion (about USD3.27 billion). Investors include the National Artificial Intelligence Industry Investment Fund, Sinopec Group, and CITIC Investment Holding. The company, founded in May 2023, has raised over RMB2.4 billion cumulatively as of 2025.
Galbot, a Chinese company specializing in embodied intelligence robotics, was founded in May 2023. The company integrates robotic hardware, intelligent models, and data systems to move robots from the laboratory into real-world production environments. As of 2025, Galbot had raised more than RMB2.4 billion (about USD360 million) in cumulative funding, including an RMB1.1 billion (about USD160 million) round announced in June 2025. In 2026, Galbot announced an additional RMB2.5 billion (about USD370 million) funding round, with investors including the National Artificial Intelligence Industry Investment Fund, Sinopec Group, and CITIC Investment Holding. The company's valuation has exceeded RMB22 billion (about USD3.27 billion).
The Galbot G1 is the company's flagship product, combining a mobile platform with a dual-arm robotic system, overcoming the fixed-position limitations of traditional industrial robotic arms. The G1 offers strong mobility and can perform pick-and-place, transport, and sorting tasks across different environments. Traditional industrial robots are typically installed at designated positions to execute preset workflows, whereas mobile manipulation robots can adjust their position and actions according to the task. Additionally, Galbot has launched the S1 robot, designed specifically for industrial environments, focusing on manufacturing tasks such as transport, stacking, and machine loading.
Galbot's AstraBrain embodied intelligence system is designed to integrate visual perception, task planning, and motion control, enhancing the robot's ability to understand instructions and adapt to its environment. Currently, the industrialization of embodied intelligent robots remains at an early stage, with factors such as cost, reliability, and large-scale deployment limiting broader adoption.