Planet AIM | AI-based 3D Propagation Model

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

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.

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

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

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

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