SignalForge AI

Model RF signal propagation for wireless network planning

Telecom AIPaid

SignalForge AI combines ray-tracing physics with machine learning corrections to predict RF signal propagation in complex environments including urban canyons, indoor spaces, and mixed terrain. It accounts for building materials, vegetation attenuation, and atmospheric conditions to generate coverage maps that match real-world measurements within 3dB. Wireless network planners use it to optimize base station placement and antenna configurations before physical deployment.

Key Features

• ✓Ray-tracing propagation
• ✓ML-corrected predictions
• ✓Material-aware modeling
• ✓Coverage map generation
• ✓Antenna configuration optimization