RFix generates labeled RF recordings from configurable RF scenarios. Engineers can define emitters, receivers, interference, channel behavior, terrain-aware placement, and export settings, then use the output for analysis, replay, validation, and downstream toolchains.

Yes. RFix supports repeatable scenario definitions, batch-oriented generation, and API-driven workflows so teams can create large datasets for receiver testing, regression checks, parameter sweeps, RFML, and ML training.

Terrain-aware means RF assets are placed in a spatial terrain or map environment instead of only in an abstract signal chain. RFix can account for placement, distance, geometry, propagation behavior, and Sionna-based terrain/channel workflows when building scenarios.

Yes. RFix can export raw IQ, WAV-style recordings, SigMF metadata, and portable RFix project files. It can also integrate directly with VSGs through SCPI-style control and with SDR workflows to record, transmit, and configure device settings inside the software.

RFix includes many signal types, including radar and communication nodes, plus end-to-end RF artifact nodes for channels, receivers, terrain, analysis, and export. The full list is on the Product page.

In the desktop version, recording size is limited mainly by available hard disk space. In the browser version, practical recording size is limited by browser memory and browser runtime/storage constraints.