Side-by-side comparison of AI visibility scores, market position, and capabilities
Chinese humanoid startup raised $291M at $2.9B. R1 Pro and G0 VLA model. $435M+ in early 2026 (April 2026).
Galaxea AI is a Chinese humanoid robotics company developing full-body robots and foundation models for physical AI. Founded with a focus on general-purpose humanoid robots capable of performing complex physical tasks, Galaxea has built both hardware platforms and the underlying vision-language-action (VLA) models that control them. Its robots are designed to operate in unstructured real-world environments, a key differentiator from industrial robots confined to structured factory lines.\n\nGalaxea's primary product is the R1 Pro humanoid robot, a bipedal platform capable of dexterous manipulation and dynamic locomotion. The company also develops the G0 VLA model, a multimodal foundation model trained on robot interaction data that enables generalized task execution. Its approach combines hardware-software co-design with large-scale simulation-to-real transfer, targeting manufacturing, logistics, and service industry deployments where human-shaped bodies provide workflow compatibility advantages.\n\nGalaxea AI raised $291M in a funding round that valued the company at $2.9B, with cumulative funding exceeding $435M as of April 2026. This places Galaxea among the most highly capitalized humanoid robotics startups globally, competing in a sector that has seen massive investment alongside Figure, Physical Intelligence, and Agility Robotics. The company is one of China's most prominent entrants in the global humanoid robot race, positioning itself as both a hardware manufacturer and an AI model company.
a2z Radiology AI raised $20M in 2025 for its whole-body AI that simultaneously screens for 24+ conditions across CT scans — from incidental cancers to cardiovascular risk — in a single automated read.
a2z Radiology AI has developed a whole-body CT analysis platform that simultaneously screens for over 24 medical conditions across a single CT scan, including incidental cancers, coronary artery disease, aortic aneurysm, bone density loss, and organ abnormalities. The AI acts as a second reader that radiologists can use to catch incidental findings that fall outside the primary reason for a scan — a major source of missed diagnoses.
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