Daniel Jacker retweeted
Physical AI needs to know where everything is.
Today @nokia named ZaiNar as integrating its positioning software with Nokia Cloud AI-RAN: network-based location, no changes to devices or radio hardware.
The network is the sensor.
globenewswire.com/news-relea…
AI-native networks are moving from promise toward reality.
Together with @nvidia, we’re advancing AI in radio processing and governed AI agents across network operations, with operator trials progressing toward live networks.
Explore the path from 5G to AI-native 6G: nokia.ly/4z3RPqX
#AIRAN #AI #6G
Tokyo next week for the @BuiltWorlds Tokyo Global Summit, Oct 13 to 15. Excited to talk about our work in Japan with Kajima. Physical AI is not just about robotics, it's about upleveling humans. Wednesday at Kajima's KX Lab with Eric Roselli and Simon Yates.
builtworlds.com/event/2026-t…
We launched ZaiNar's partnership with Nokia and Nvidia last week. Sub-meter 5G positioning on Nokia's Cloud AI-RAN on NVIDIAplatforms. If you were not at Nokia Radio World, here’s a taste of what you missed.
Most countries have no backup for GPS. The Gulf is showing what that costs: broken maps, failed pickups, deliveries doubling. Not hypotheticals. The fix isn't more satellites. It's the networks already on the ground. My take: zainartech.com/news/gps-back…
Private 5G has a location problem and it’s about spectrum.
Private 5G is allotted 10 to 40 MHz. Conventional 5G positioning needs at least 100 MHz and is capped at 1 location update per second.
ZaiNar delivers centimeter-level positioning from the signals already on the network, at 100 to 500 updates per second, with nothing added to the device.
New post:
zainartech.com/news/private-…
Every positioning technology works in a demo.
Real sites are not demos:
1. GPS-denied
2. Always changing
3. Dense multipath
4. Indoor to underground
5. 3D.
Almost everything fails in most of those.
ZaiNar holds across all five, on one network.
New post:
zainartech.com/news/where-ot…
For years the location question was accuracy. Now it is architecture: where should positioning be computed in a world built for machines?
My answer is the network. One shared map, built once, for everything connected to it. Why the location layer for Physical AI belongs to the carriers:
zainartech.com/news/physical…
Robots are getting capable fast. The thing that breaks on a real site isn't the robot. It's that the site has no shared, real-time sense of where its robots, people, and vehicles are. Especially indoors, where GPS dies.
Shared location is infrastructure, not a robot feature:
zainartech.com/news/robots-k…
Physical AI does not start with robots. It starts with the workforce already on site. Give them location and every move leaves a record. When robots arrive, they inherit that record instead of mapping the site from scratch.
zainartech.com/news/physical…
The question everyone is asking about AI: will the spend pay off?
For most of the stack, that is still a bet on a few years out. For the location layer, it pays now, in numbers the business already tracks. No model to train first.
A foundation layer should pay its own way while everything above it matures.
zainartech.com/news/ai-build…
The strongest signal is the wrong one.
Indoors, most location systems trust the loudest signal, but that's usually a reflection, not the direct path. A device 5 ft away can read as 45.
We read timing and phase instead. New piece: zainartech.com/news/the-stro…
Cameras answer "what is this?" Positioning answers "where is everything?"
What changes for Physical AI and robots when shared location lives in the network- The power of Environmental Memory
zainartech.com/news/zainar-v…
On the How I Invest podcast with David Weisburd.
What Physical AI actually requires, why the data layer for it does not exist at scale yet, and what nine years of stealth went into solving.
📷 Apple Podcasts: bit.ly/4w9LNUx
📷 Spotify: bit.ly/42hMai9
Youtube: youtu.be/qzb4oMTaozA
Continuing the series. Every 5G device transmits SRS hundreds of times per second as a structural feature of how the network works. The network already receives it.
Listen to it at sub-nanosecond precision, and the network becomes a sensing platform - on infrastructure carriers have already deployed.
zainartech.com/news/5g-sensi…
First in a short series. Spend time with teams scaling robot fleets and the same issue surfaces. Cameras tell a robot what it can see. They do not tell the fleet where everything else is. Physical AI needs a nervous system, not better eyes.
zainartech.com/news/nervous-…
News today: ZaiNar is opening a Tokyo office, and we were selected for the Tokyo Metropolitan Government's GX Program out of applicants from 22 countries.
Tokyo's density breaks GPS. Its 5G deployment is one of the densest on earth. It is the city where this technology matters most.
zainartech.com/news/zainar-t…
Spoke with MT Newswires about ZaiNar's 2026 agenda.
The focus: carriers globally, RAN vendors globally, and scaling across verticals where Physical AI is already deployed.
$500M+ in contracts and MOUs. The infrastructure layer is real.
Every industrial company will soon become a robotics company.
Jensen Huang said it last week. And he’s right.
But robots still don’t know where they are.
So how does this actually happen?
LLMs worked because they had data from the internet.
Physical AI had nothing close...
...until ZaiNar built it.
👉 zainartech.com/news/physical…
I just wrapped MWC and The Montgomery Summit now. Eighty meetings across MWC and The Montgomery Summit. Two very different rooms. The same question in every one: when does 5G start paying for itself?
What I'm hearing - and why 'GPS alternative' is the wrong frame for what ZaiNar actually is.
zainartech.com/news/not-just…
Today: ZaiNar announces the first 5G positioning system delivering sub-10cm accuracy using only existing connectivity signals. Zero battery drain. Carriers can now offer precise location across their networks - a new utility for 5G and a foundation for Physical AI.
Much more at MWC.
zainartech.com/news/5g-kille…