The next AI revolution is not just happening on screens. It is happening in the physical world.
Robots, drones, autonomous vehicles, and smart machines all need one thing before they can operate safely: Precise location.
Traditional GPS can be off by several meters. For humans, that may be fine. For autonomous machines, it can be dangerous.
GEODNET is building the spatial intelligence layer for Physical AI, using RTK positioning to improve accuracy from meters to within one centimeter.
Over 20,000 base stations.
170+ countries.
11,000+ cities.
130+ enterprise customers.
Physical AI needs real-world infrastructure.
That infrastructure is being built now.
GEODNET retweeted
π Interested in RTK GNSS, precision positioning or DePIN?
Check out GEODNET StableHexes and explore how GEODNET is developing its global GNSS reference station network.
πΊοΈ Explore the StableHex Map:
consolebeta.geodnet.com/map
#GEODNET #StableHex #GNSS #RTK #DePIN
"I'm really picky with pancakes." π₯
Grandma's recipe vs. industrial grade. Some things we do at home because it's more authentic.
Which chores would you hand to a robot, and which would you keep?
Part 2 of ROBOSTRATEGY x GEODNET is live. Link in first comment π
Physical AI moves atoms, not just bits. π€ Mike Horton on what sits underneath it: the sensing infrastructure.
Full interview with @DePINConnection in the comments π
Physical AI Moves Atoms, Not Just Bits
Mike Horton (@mikeahorton) of @GEODNET says the key to physical AI is the first word: these are machines doing things in the real world, and networks like GEODNET provide the sensing infrastructure underneath.
Watch the series here β youtube.com/playlist?list=PLβ¦
Great conversation at Booth #9195 with @MichiganRobots π€
@GEODNET Project Creator Mike Horton and the Michigan Robots team talked robotic mowers, how RTK works, and how GEODNET has grown so fast in the space.
Last day at Equip Expo. Come find us!
@equipexposition
The Rails for Physical AI. ποΈ Mike Horton sits down with @DePINConnection for Founder's Forum Ep. 2.
Watch the full episode now! π
Founder's Forum Ep. 2: The Rails for Physical AI | Mike Horton
Mike Horton (@mikeahorton) of @GEODNET on the FCC rulings blocking new DJI models, the US-made drone chip he built to fill the gap, and why he calls the network the rails for physical AI.
Catch the full episode on YouTube!
Proud to see David on stage at @token2049 sharing why physical AI needs reliable positioning. π€
22K+ stations, 175 countries. π
Honored to speak at @token2049 on The Rails for Physical AI. π€
Every robot, drone, and autonomous machine entering the real world needs to know exactly where it is. @GEODNET delivers that centimeter-level positioning layer:
22K+ stations across 175 countries.
Thank you to everyone who stopped by. π
Day 2 at @equipexposition! π
GEODNET Project Creator @mikeahorton with the Mowze team.
Mowze, based in Maryland, builds American-made,
high-capacity mowers, and is a @GEODNET customer and station host.
Robotic mowing runs on precise positioning. Great to see it on the show floor!
Booth #9195. Drawing at 4 PM ET. π
@equipexposition










