ZaiNar Launches Breakthrough Platform for Physical AI

BELMONT, Calif. February 19, 2026. After nine years of stealth, over 100 patents filed and $100 million in investment, ZaiNar is launching its breakthrough platform for Physical AI: tech that turns any wireless network into a sensing platform that continuously knows where everything is, without satellites, cameras, or drain on device power or compute.

Expected to be one of the largest technology markets ever created, Physical AI is intelligent machines that move and work by themselves, at endless scale, in the real world.

Until now, AI has lacked the right kind of data to train itself and to move reliably in the physical world, i.e., centralized, real-time location information that is accurate to the sub-meter and synchronized continuously.

ZaiNar solves the problem with existing wireless infrastructure and signals — the radio waves already broadcast by every device, everywhere. It can time-synchronize these signals a thousand times more accurately than conventional network time synchronization, and so derive vastly superior positioning information.

ZaiNar's breakthrough changes how 5G and IoT networks can be used — making them into sensing platforms that can take on the burden of location processing, allowing new levels of device and edge coordination. Every connected device on a network will know where it is in relation to other objects with sub-meter accuracy, in real time.

GPS, cameras, and beacons are powerful tools, but none of them offer the low-power, low-compute and continuous accuracy needed for Physical AI training and inference.

ZaiNar is deployed and operating today — freeing construction workers from hazard zones, helping healthcare teams find medical devices, and enabling coordinated autonomous operations across industries.

It turns out the spatial awareness layer Physical AI needs doesn't require next-gen 6G networks or added hardware or software. It runs on infrastructure that exists today, producing capabilities we thought were further in the future.

The smarter use of connectivity signals is all that's needed to unlock a physical future for AI, today.