Intended Edge · physical AI · beta
Verification at the edge. Before the actuator moves.
For robots, cobots, AGVs, and drones. Intended classifies a structured agent goal, mints a sub-second Authority Token bound to robot identity, verifies locally at the edge, and falls back safely if anything is wrong — layered on top of your existing safety PLC, never in place of it. The edge verifier (Rust + TypeScript) and offline geofence checks are built, conformance-tested, and available in beta today: priced per verified decision, with free trial credits to start. Your safety stack stays authoritative — we govern at the goal level, above the PLC.
02 · What we own / what you own
We sit above the PLC. You keep the safety stack.
The authority decision
Intent classification, conformance scoring, policy evaluation, token mint, audit chain — engineered for a sub-second authority decision in the control loop.
The safety envelope
Your existing safety PLC, e-stops, light curtains, and certified motion limits remain authoritative. We never override a safety stop. We refuse to authorize anything outside the declared envelope.
We are not the safety system
We don’t replace functional safety. We don’t certify your hardware. We don’t make joint-level motion decisions. We govern at the goal/task level.
One audit chain per fleet
Every goal accepted or refused — across every robot, AGV, drone, and cobot — is hash-linked into the same immutable audit chain. Replayable in slow time after the fact.
03 · How the edge verifier works
The edge verifier verifies its RS256-signed edge-authority token fully offline (cached tenant JWKS, zero network on the hot path) and enforces an offline signed geofence. This is built and conformance-tested today — it has not yet been deployed on a live fleet.