Neural sensing神经感知入口
Develop autonomous neural-sensing terminals for EEG / sEMG acquisition and action-event synchronization.
Platform / HAOD
One system. Four connected layers.
四层协同，构成闭环。We develop hardware, AI, OS, and data around the same task definition, safety boundary, and outcome.HAOD 不是四项并列能力，而是持续增强的人类意图闭环。
Platform architecture
Every layer strengthens the next.
Hardware captures task-relevant input. AI forms task-conditioned intent and state. WABO Neural OS safely connects that human context to devices. Authorized real-task data returns context and outcomes for continued improvement.
Data value does not come from inflated hours or overlapping windows. It comes from authorized training rights, task context, synchronized actions and outcomes, longitudinal retests, and real-task feedback.
神经感知、任务条件解码、安全操作系统与授权真实任务数据，共同构成同一条技术路线。数据价值不在于堆砌时长或切窗数量，而在于商业训练权、任务上下文、动作与结果同步、纵向复测和真实任务反馈。
Neural Intent Model神经意图模型
Form task-conditioned intent and state models with confidence and safe rejection.
WABO Neural OS安全操作系统
Provide device abstraction, time synchronization, model runtime, permissions, safety, and the Human Context API.
Real-task data真实任务数据飞轮
Align authorized task context, actions, outcomes, and user feedback for responsible model improvement.
Human Context LayerMany inputs.
Many inputs.
One safe context.
Neural signals, task context, and behavior feedback converge through the WABO Neural Intent Model. WABO Neural OS applies time, permission, and safety boundaries, then exposes Human Context API for approved device integration.复杂输入经过任务条件模型、时间同步、权限与安全编排，形成可审计、可拒识的人类上下文。