Industrial · Strong theory
Teachable Process-State Axes (Valves, Dampers, Doors, Loads)
Show it a valve open and closed once — it reports that valve's state forever.
The physics is solid; our own validation is scheduled.
How it works
Big metal things like valves, doors and dampers each reflect WiFi waves in their own way, and each position leaves a different fingerprint in the signal. During teaching, an operator simply puts the asset in each state while the system watches. From then on it reads that state continuously, with nothing installed on the asset.
In the physics: Every large metal actuator position (valve handwheel + stem, damper blade, roller door) is a distinct scatterer configuration producing a repeatable static CIR fingerprint (delays + amplitudes). Controlled perturbation during teaching isolates exactly which CSI subspace that asset controls, making the axis robust to unrelated variation.
See it work
This is real pipeline output for Industrial, replayed. The exact reading depends on your room.
Go deeper
How the field becomes an answer
How we prove it
Own-hardware: teach 5 assets in a workshop (metal door, large gate valve mockup, cart present/absent, damper, cabinet open/closed), then 30-day blind state-classification accuracy under normal foot traffic; SenseFi protocols for the fingerprint-classification methodology.
Who it is for
Retrofit state sensing for un-instrumentable legacy assets: 'show it once, monitor it forever' — sold to the brownfield digitalization lead drowning in quotes for limit switches and cabling.
The matching solution
Complete first-room estimateMachine Bay Watch6 nodes · ~$320 parts · 120 min Request kit, subscribe, or set up →Compatible DIY hardware options
120 min · advanced
240 min · installer