Not Just a Positioning Company

I just wrapped MWC in Barcelona and I am here at The Montgomery Summit now. Eighty meetings, two very different rooms - carrier engineers and RAN vendors at MWC, investors and technology leaders at Montgomery. Different vocabularies. The same question: when does 5G start paying for itself?

On being called a GPS alternative

Since we came out of stealth in February, reporters have described ZaiNar as a GPS alternative. I understand the instinct. And at a literal level, what we do does replace GPS where it fails - indoors, underground, in dense urban canyons. The framing is not wrong. It is just not complete. What I am hearing across these two events goes well beyond anything a 'GPS alternative' frame can contain.

What 80 meetings actually sounded like

At MWC, we had a full slate and ended up doubling it - hallways, dinners, in between sessions. Montgomery is tracking the same way. The demand is not for a product demo. It is for a conversation about what is possible.

The pressure I keep hearing from carriers: 5G was sold as a revenue transformation. The promise was new monetization surfaces that would justify the enormous capital expenditure of buildout. That promise has not fully materialized. Operators are not asking what 5G will do in five years. They are asking: what else can we do to commercialize these massive investments in the networks we've built, right now?

What this means

AI is the organizing frame for nearly every significant technology investment decision being made right now. What keeps coming up is where that conversation hits its limit: people are building AI systems extraordinary at processing information that have no reliable way to operate in the physical world. Physical AI is not a niche vertical. It is the missing layer - and the 5G network is exactly where the AI imperative and the infrastructure investment intersect.

So: not just a positioning company

A GPS alternative solves a location problem. That is real value - we have deployments that prove it, in construction, in healthcare, in smart cities across multiple continents.

But the Physical AI data layer is different in kind, not just degree. The difference between a positioning product and a data layer is the difference between a sensor and a nervous system. A sensor tells you where one thing is. A nervous system gives every connected device continuous, real-time awareness of where everything is. Sub-nanosecond synchronization gives you centimeter-level positioning as a mathematical consequence of the physics - and a continuous, real-time record of how things move through the physical world. That is the training corpus Physical AI has been waiting for, and the inference infrastructure that lets AI coordinate movement without each machine solving its own localization problem onboard.

This is the foundation layer. Not a positioning product. Infrastructure - like the internet was infrastructure for digital AI.

The infrastructure is already there

After nine years in stealth and more than a hundred patents with zero rejections, we have solved the hard problem: time synchronization across existing wireless infrastructure, using only signals already in the air. Carriers have built the network. The demand to turn it into spatial infrastructure for Physical AI is real, urgent, and growing.

We are not a positioning company. We are the Physical AI data layer.

More on what SRS-based positioning actually means for carriers, and why the 5G ROI question does not require waiting for 6G - in an upcoming blog post.