The Spatial Awareness Layer for Physical AI
Deeyook turns the Wi-Fi signals already in the air into sub-meter spatial understanding — indoors and out, with or without GPS, and with no new hardware. The grounding layer every AI system needs to act in the physical world.
From location to context, from signals to intelligence.
Every AI system that acts in the physical world faces the same first question: where is everything, right now? GPS can't answer it indoors — and bolting on anchors, tags, and beacons doesn't scale. Deeyook takes the opposite approach: we subtract. Our patented interferometry runs as firmware on the commercial Wi-Fi silicon devices already carry, delivering sub-meter positioning from infrastructure that's already deployed. No new hardware. No anchors. Just the grounding signal, pulled from the billions of radios already in the world.
What spatial awareness unlocks
Robots that know where they are
AMRs, humanoids, and autonomous fleets need continuous sub-meter grounding to navigate and act — in GPS-denied space, without a beacon grid to maintain.
Devices that carry a sense of place.
Devices that carry a sense of place.
Wearables, XR glasses, body-worn cameras, and rugged handhelds gain native spatial awareness as firmware — no add-on hardware, no separate network.
Environments that sense themselves
Cameras, buildings, and campuses turn their existing Wi-Fi into a passive, always-on layer of spatial intelligence and resilient PNT.
Ubiquitous
Continuous positioning indoors, underground, and through the GPS shadow.
Self-learning
Adapts automatically to changing RF environments. No calibration.
Sub-meter precision
Continuous accuracy at the resolution autonomous systems need to act
Efficient
Deeyook offers a long run time with power consumption that is a fraction of that of a GPS
Scalable
Rides the Wi-Fi access points already deployed. No build-out
Firmware, not hardware
Ships as software into existing silicon. Scales to millions.
“Deeyook” means “Precision” -and precision is what Physical AI runs on.
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