Transforming the way the world works

Trimble VRS3Net App

  • Scalable platform to run one system over multiple servers
  • Benefit from a visual reference of network status and quality with Google Maps Support
  • Advanced Web Application including accounting and billing modules to help automate operations tasks
  • RTXNet processor as the next generation of real-time network processing to provide comprehensive GNSS support, including GPS, GLONASS, Galileo, Beidou and QZSS
  • Provides Network-RTK  solutions with full VRS Support- Supported within RTCM 3.1 standard and providing the only true VRS data correctors
  • Full support for RTCM 3.2 Multi-Signal Message (MSM)
  • Multiple modules to check the integrity of incoming data or station performance
  • Atmosphere condition calculations are available through IPWV, TEC and Slant Delay options
Product Resources
  • Overview

  • Applications

  • Scalable Solution

  • RTXNet Processor

The Trimble VRS3Net App is a unique application designed to optimize the performance and reliability of real-time networks. VRS3Net enables real-time network operators to build stable GNSS networks that are capable of providing continuous Real Time Kinematic (RTK) corrections and postprocessed data to an unlimited number of users in a coverage area. This app implements Trimble's exclusive virtual reference station technology.


  • Land Administration
  • Mapping and GIS
  • Precise Farming
  • Construction
  • Geodetic Control
  • Marine
  • Utilities


Scalable Trimble Infrastructure implementation that meets your evolving requirement.


The Trimble RTXNet Processor is the next generation real-time network processing solution, providing network operators with the ability to process up to 500 or more stations on a single server and deliver real-time and postprocessed Network-RTK corrections for Beidou and Galileo as well as GPS, GLONASS, and QZSS. RTXNet leverages real-time centimeter accurate satellite and clock information provided by Trimble RTX Technology infrastructure to perform network processing and achieve improved scalability.