A unified AI operating system on the hardware edge, orchestrating all self-developed ported models
Companion interaction · Motion control · Expression driving · Skill plugins
Inference engine · Operator optimization · Memory scheduling · Multi-model orchestration
Unified scheduling of perception, decision and execution; capabilities exposed as service APIs
Six-platform BSP · NPU / DSP compute abstraction and mapping
KB-scale small model, ultra-low-power always-on listening
Streaming recognition, works offline
Emotional voice cloning, synthesized locally
Faces · gestures · pets, pruned and quantized for local inference
Distilled small-parameter language model for local command parsing
Posture balance · gait planning, millisecond response
System-model synergy — the AI OS orchestrates the self-developed ported model matrix: offline-capable, data never leaves the device, millisecond-level response.