Planet AIM | AI-based 3D Propagation Model

Improve your RF simulation accuracy

Deliver exceptional radio designs with the world’s first AI-powered RF propagation model

AI-based 3D propagation modeling

Improve the accuracy of your propagation modeling

Planet AIM, our artificial intelligence-based propagation model, greatly simplifies the way your networks can be planned. It drastically reduces the operating costs related to calibration, while improving the accuracy and reliability of RF simulations and wireless coverage predictions. With Planet AIM, your engineers can execute wireless planning tasks much faster, delivering highly reliable network plans and ensuring their radio networks perform as intended when built. 

Monitor with Planet AIM screen capture

Key benefits and features

Arrow pointing to target

Improved accuracy

Planet AIM constantly adapts to all available data inputs delivering improved RF simulation and propagation modeling accuracy.

Check mark in circle

Automatic calibration

Planet AIM is pre-calibrated using massive data sets and the machine learning engine can be further calibrated via additional drive and walk test data.

Brain

Intelligent ray-launching

Ray launching activates only when required for improved dense urban and mmWave planning accuracy and improved speed when not required.

Building and tree

Modern geodata support

Planet AIM supports advanced geodata modeling enabling bridges, tree canopies and in-leaf / out-of-leaf vegetation to be accurately modeled.

Puzzle

Support for all environments

Planet AIM support all environments in a single model: urban (macro / micro / pico), suburban, exurban and rural.

Check mark in cloud

Cloud-enabled

Planet AIM is able to take advantage of massive horizontal scalability in a microservices environment to deliver extremely large coverage predictions.

Network planning accuracy makes business sense

A 1 dB improvement in RSRP modeling precision, could save a nationwide U.S. mobile network approximately $2 billion over a 10-year period

Preview of analyst report