How It Works
SocketRun runs AI models locally with no dependency on cloud connectivity—ensuring continuous execution even in permanently offline environments.
AI maintains performance under failure conditions automatically.
Supports resilient deployment and recovery workflows across distributed edge environments.
Edge Agent (runs on every device)
Runs AI models locally
Tracks model version and system health
Detects failures and restarts automatically
Stores logs and results locally when offline
Local Execution (always-on inference)
AI models run on-device (Jetson, x86, ARM)
No dependency on continuous cloud connectivity
System continues operating even when disconnected
Sync Layer (when network is available)
Queues updates and logs during offline periods
Syncs automatically when connectivity returns
Ensures all devices converge to consistent state
Control Layer (fleet visibility)
Shows device health and model versions
Tracks failures and deployment status
Enables controlled rollout and rollback of AI models
as a result AI systems keep running, recover from failure, and stay consistent across the entire fleet.
