Polaris RTK
Point One vs SmartNet
Looking for a SmartNet alternative? Point One’s Polaris is the most modern, reliable, and comprehensive RTK network.
1,900+
Base stations
350k+
Devices
99.9%
Uptime
<5s
Convergence time
“Point One made it fast and easy to provide RTK corrections to our drone pilots. After reviewing all the competition we chose Point One due to the ease of integration, accuracy, and cost.”
Point One vs SmartNet: Side by side
SmartNet is a well-established GNSS corrections network that offers a blend of three different correction types for Leica Geosystems GS sensors. Point One Polaris, meanwhile, relies on newer, device-agnostic corrections hardware to provide centimeter-accurate positioning for any RTK-enabled receiver.
Polaris is Point One Navigation's global GNSS correction service designed to deliver unparalleled precision, reliability, and coverage on any RTK-enabled device.
SmartNet is a global GNSS correction service providing high-precision positioning solutions for Leica Geosystems GS sensors in industries like agriculture and construction.
Price
Coverage
Accuracy
Uptime
True RTK
Device Agnostic
Virtual RTK (SSR)
Web UI
Programmatic Provisioning
API for easy integration
All GNSS frequencies (L1, L2, L5)
$1500/year
Global - US, EU, UK, AU, JP, KOR
1-3 CM
99.9%
Yes
Yes
Yes
Yes
Yes
Yes
Yes
$5000/year
Global - US, EU, UK, AU
1-3 CM
99.6%
Yes
No
No
No
No
No
Yes
1700 Base Stations and Counting.
Point One's global RTK network is adding 400+ new base stations every year.
The Best Network. On Modern Hardware.
Point One’s Polaris network was launched in 2021, built on cutting-edge equipment, and is professionally managed to ensure 99.9% uptime.
Designed for simplicity
The Polaris UI allows you to remotely provision, activate, tag, and manage devices — all on the only web-based UI in the GNSS corrections space.
Built to be built on
Point One’s precision navigation platform is fully accessible through the GraphQL API. Want to integrate with our platform? Get it done in an afternoon.
Ready for precision location at scale?
