Spatial intelligence from the Wi-Fi already in the building
WiFiGlass AI converts existing Wi-Fi signals into privacy-preserving insights for occupancy, movement, safety, and situational awareness.
Privacy-first sensing for smart buildings, healthcare, industrial safety, and secure facilities.
No cameras. No wearables. Minimal new hardware.
Existing Wi-Fi signals, turned into a live picture of the space
Wi-Fi radio waves already bounce off everything in a room. WiFiGlass AI reads the tiny distortions those signals pick up and reconstructs what's happening — without a single camera.
Ambient Wi-Fi
- Existing access points
- No new sensors
Signal distortion
- Amplitude & phase shifts
- Captured as CSI data
Edge AI model
- Reconstructs shape & motion
- Runs in real time
Live insight
- Occupancy & movement
- Alerts, APIs, dashboards
What the model actually sees
This is a real output — a spatial reconstruction built frame-by-frame from Wi-Fi channel state information alone. Walls, furniture, and a person are inferred from radio reflections, not video.
Designed for real-world deployment
Start with controlled pilots, prove accuracy and ROI, then expand across sites through dashboards, alerts, and APIs.
A sensing layer for spaces where cameras are not the right answer
The same Wi-Fi signal pipeline adapts to different verticals through configuration, not new hardware.
Smart buildings
Occupancy, space usage, and facility intelligence across floors without dedicated occupancy sensors.
Healthcare & care settings
Passive fall detection and wellness monitoring for residents and patients, with no wearable to remember.
Industrial & secure facilities
Situational awareness, intrusion cues, and safety zones in areas where camera coverage and privacy conflict.
Same intelligence, without the privacy tradeoff
WiFiGlass can become the AI spatial intelligence layer for the built world
Transforming existing Wi-Fi infrastructure into privacy-preserving sensing networks for smart buildings, healthcare, industrial safety, and defence.