Against a backdrop where the embodied intelligence industry races to deliver breakthroughs in scenario applications and robot hardware forms, underlying computing architectures—which determine the industry’s long-term ceiling—remain a fundamental bottleneck holding back genuine intelligence and large-scale commercial rollout.

Since its inception, Harvest Praxis has zeroed in on this industrial pain point and pioneered a core roadmap for new physical AI infrastructure: developing a domestic end-side computing solution tailored for embodied intelligence. Centered on a cutting-edge 3nm SoC chip, the firm independently developed Hyper AI Brain, an on-device intelligent super-brain. Powered by the world’s first single-chip architecture integrating a robot’s cerebrum and cerebellum, the company has built a full-stack core perception and control unit featuring deep hardware-software synergy, redefining the computing benchmark for next-generation embodied intelligent robots.

As the world’s first robot-centric intelligent super-brain engineered with a top-down chip design philosophy, the core breakthrough of Hyper AI Brain lies not in incremental parameter upgrades, but in a ground-up reconfiguration of robotic computing architectures. On the software front, it unifies cerebrum and cerebellum algorithms under one integrated model, enabling dynamic allocation of computing resources across perception, decision-making and motion control. On the hardware front, its unified single-chip design fundamentally eliminates pervasive flaws inherent to conventional dual-chip schemes, including communication latency, timing misalignment and excessive power consumption. Bolstered by advanced 3nm process technology, the super-brain supports end-to-end real-time perception and millisecond-level response for robots operating in physical environments. This marks a major technological leap for the embodied intelligence sector and lays a solid foundation for the development and iteration of true robotic foundation models. Robots built upon this super-brain can capture real-world scene data with drastically higher efficiency, substantially accelerating training and inference workflows, and propelling embodied intelligence forward toward artificial general intelligence (AGI).

图：华睿智普智能超脑——物理AI端侧算力的“国产方案”