The system, which BrainCo calls Neuro-Embodied-AI, functions by capturing brain signals through a headset, decoding them into motor intent, and executing commands within 200 milliseconds. This architecture allows the platform to interface with diverse hardware, including humanoid machines and robotic dogs, bypassing the need for proprietary equipment in research and development pipelines.

Beyond direct control, the company introduced an Embodied AI Data Collection Solution to address a critical industry bottleneck: the scarcity of high-quality training data for complex physical tasks. By recording both the physical actions of an operator and the underlying neural intent, BrainCo aims to create a more scalable dataset for teaching robots dexterity. This approach integrates decade-long advancements in brain-computer interfaces with modern robotics, a strategy Nyx He, Partner and Senior Vice President at BrainCo, describes as the next chapter of human-machine collaboration. The company also showcased its Revo 3 Dexterous Hand and advanced bionic prosthetics, drawing interest from international observers including United Nations Development Programme Administrator Alexander De Croo.