ZaiNar Opens Tokyo Office, Selected by Tokyo Metropolitan Government for GX Innovation Program

ZaiNar, the foundation layer for Physical AI, today announced the opening of its Tokyo office and its selection by the Tokyo Metropolitan Government (TMG) as one of seven companies for the GX-Related Foreign Company Market Entry Support Program.

5G's Killer App Has Arrived: Highly Accurate Location without GPS

ZaiNar bypasses handset gatekeepers to give carriers and enterprises direct control of 5G positioning for the first time, turning 5G networks into Physical AI infrastructure.

ZaiNar, the Foundation Layer of Physical AI, Valued at $1B+ and $100M Investment

ZaiNar emerges from nine years of stealth with a breakthrough platform that turns any wireless network into a sensing system for Physical AI, without satellites, cameras, or drain on device power or compute. The company has more than $100 million in investment and a valuation exceeding $1 billion.

The Strongest Signal Is the Wrong One

Many systems that track things indoors trust the strongest signal they hear. Indoors, the strongest signal is usually a reflection, not the direct one. That single assumption is why location breaks. ZaiNar doesn't make it.

"What Is This?" and "Where Is Everything?" Are Different Questions

Cameras are good at "what is this?" They identify objects, read signs, inspect surfaces, detect hazards, see what is happening in the scene in front of a robot. Cameras are improving fast, and we are not trying to replace them. But what happens when you need to know "where is everything?" Cameras are not the answer.

Your 5G Network Is Already a Sensing System. It Just Needs to be Turned On.

Something has shifted in how the industry thinks about wireless infrastructure. Software-defined radios - once a specialized capability at the frontier of research - are now embedded in virtually every modern base station, enterprise access point, and wireless network worldwide. The network is no longer just a transmission medium. It is a programmable sensing platform. Most operators have not fully realized what that means for what they can offer.

Why Fleet-Scale Robotics Needs A Physical AI Nervous System

What happens when you scale to a robot fleet? When can you actually scale to a robot fleet? And what will be different about that fleet than is the case with current automated systems or human-automated-system hybrids? The robotics sector, in other words, is undergoing a market shift - away from making robots work, towards making robots work together, autonomously, at scale.

Physical AI Without Location Is Like LLMs Without the Internet

Last week, Jensen Huang stood on stage at GTC and said something worth sitting with: every industrial company will become a robotics company. He's right. But left unmentioned in this declaration is a critical tech problem that nobody on that stage has yet solved - except for ZaiNar.

Not Just a Positioning Company

Since we came out of stealth in February, reporters have described ZaiNar as a GPS alternative. I understand the instinct. The framing is not wrong. It is just not complete.

The Dataset That Didn't Exist - Until Now

AI has been trained on text, images, code, video, and audio. But there's one dataset that the physical world needs and that has never been built: a continuous, real-time spatial record of where things are.

Time Is the Key to Non-GPS Location

Every radio wave travels at roughly the same speed - about 30 centimeters per nanosecond. It's essentially constant, and it's the foundation of everything ZaiNar does.

Physical AI Location

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.