Edge AI Deployment
Distributed execution across embedded hardware, edge nodes, and cloud supervision
Embedded Devices
sensors, controllers
local actuation loops
Edge Runtime
fusion, reasoning, local memory
time-sensitive policy execution
offline resilience and sync
Cloud Supervision
fleet learning, analytics
model updates and orchestration
Low-latency autonomy
Audit, sync, adaptation