Hospitality · Strong theory

DampWatch — hidden leak and moisture ingress in hotel walls

Finds a slow leak inside a hotel wall weeks before the stain.

Strong theory Strong theory

The physics is solid; our own validation is scheduled.

Water changes how WiFi travels through a wall more than almost anything else in a building. A hidden leak makes signals through that wall section slow down and fade — in one spot, a little more each day. Nothing else in a hotel drifts like that, which is why the alarm is trustworthy.

In the physics: Water ingress raises local eps_r from ~2 (dry drywall) toward 80, increasing path delay and attenuation for every ray transiting that wall section; the change is spatially localized and monotonic over days — a signature nothing else in a hotel produces.
Preparing the recorded fieldLoading real LatentField pipeline output…

This is real pipeline output for Hospitality, replayed. The exact reading depends on your room.

Bring this into the real roomFloor & Bar Pulse3 sensing nodes · ~$130 parts · about 90 min
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How the field becomes an answer

CIR super-resolved delay drift on wall-crossing paths RFF/NeRF differential eps_r map to localize the wet voxel compartment CUSUM over days/weeks (119-day drift control proven) to separate leak trends from HVAC humidity cycles.

How we prove it

Own experiment: controlled wetting of a drywall test section between ESP32 pairs, tracking delay/eps_r drift vs moisture-meter ground truth; ESP32-wall dataset for baseline wall-transit characterization.

Who it is for

Leak insurance for the hotel chief engineer: 'room 412's shower wall started absorbing water 9 days ago' — sold against five-figure mold remediation claims.

Complete first-room estimateFloor & Bar Pulse3 nodes · ~$130 parts · 90 min Request kit, subscribe, or set up →
Compatible DIY hardware options
Operator Single-Venue$280–380

120 min · advanced

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