Maxinsights, a Physical AI team headquartered in Silicon Valley, is a key data provider for numerous top-tier robotics companies in the area. It made its foray into the domestic market in March of this year. The team has developed a comprehensive end-to-end process that spans data collection, processing, algorithm development, and delivery. With a repository of 1.5 million hours of top-tier data and a cumulative delivery of over 2 million hours, Maxinsights boasts impressive credentials. Its core competitive edge stems from its robust data processing and algorithm capabilities. Leveraging proprietary technologies such as MaxEgo, the team has effectively tackled challenges like hand occlusion tracking, spatial positioning, and action semantic understanding. By integrating automated quality checks with manual refinements, it has fostered a continuous loop of data improvement. Moreover, Maxinsights utilizes an Agent platform to orchestrate a global network of over 5,000 data collectors, spanning more than 2,000 environments and 50,000 scenarios, with a monthly collection capacity reaching up to 450,000 hours. This approach efficiently converts the everyday experiences of individuals into valuable training data for robots. Presently, popular robot models like Dyna-2 and GENE-26.5 rely on its data for training. Recognizing that data supply is the linchpin of competition in embodied AI, Maxinsights positions itself as the foundational data and learning infrastructure for Physical AI. While maintaining a vast data scale, it is dedicated to enhancing the richness of its data experiences and steering clear of redundant data.