Wireless & RAN networks
We build digital twins of radio access networks — the sites, the environment and the radio channel between them — so you can plan, test and optimise changes without risking live traffic.
What the twin models
Radio performance depends on everything around it. The twin brings the environment, the channel, the network and its users together so their effects can be studied as a whole.
Layer 1
3D buildings, terrain, vegetation and the materials that shape how radio waves behave.
Layer 2
Ray-traced propagation with reflection, diffraction and scattering — path loss, delay and angle for every link.
Layer 3
Sites, antennas, beams and RAN configuration, modelled as they are deployed or as you plan them.
Layer 4
Where people and devices are, how they move and what they demand — measured as the KPIs you care about.
Use cases
Questions that are slow, costly or risky to answer on a live network become experiments you can repeat.
Compare site and antenna options before anything is installed.
See exactly where and why links degrade.
Trial configuration changes in the twin, then roll out with confidence.
Generate realistic channel data to train and validate ML models.
Compare scheduling, beamforming or handover logic on identical conditions.
A realistic, repeatable testbed for wireless experiments.
How we deliver
01
Agree the area, the questions to answer and the fidelity needed.
02
Model the environment, sites and radio setup in a GPU-accelerated pipeline.
03
Tune against drive tests or network measurements until the twin matches reality.
04
Run studies with us, or take the twin in-house with documentation and support.
Built with
Ray tracing Unreal Engine 5 GPU acceleration [Other tools]Case study
[Two or three sentences: who it was for, what the twin answered, and what changed as a result.]
Read the case study →Tell us the area and the question. We will scope what a twin needs to answer it.