PerCon is now offering our FCC, FAA, Industry Canada and Worldwide Table of Frequency Allocations as AI training data with DataLinks AI. Our high-fidelity training data is designed to help advanced AI models understand the complexities of the RF spectrum and wireless telecommunications. PerCon has created structured, machine-readable ULS and TAFL databases and domain-specific global frequency allocation tables that provide the ground truth that AI requires to learn complex patterns without the errors found in unstructured raw data. By empowering machine learning models with these structured datasets, we provide the high-quality learning data for LLMs needed to solve real-world problems and move beyond simple guessing to expert-level decisions about wireless networks. Contact PerCon if you have questions or have specific requirements.
DataLinks AI datasets includes detailed frequency information for the US (ULS) and Canada (TAFL), precise tower and antenna structure data (ANTREG), and a multinational table of frequency spectrum allocations for nearly 200 countries and organizations. The data is available in a variety of "AI-ready" formats, such as JSON, JSONL or CSV, that can be seamlessly integrated into any machine learning pipeline or Large Language Model (LLM). Customers can choose between comprehensive "snapshot" baselines for initial model training or high-frequency updates, available as often as daily, to ensure their AI is operating on the most current information available. DataLinks AI currently includes the following datasets:
US Frequency Data (FCC ULS)
Canada Frequency Data (Industry Canada TAFL)
FCC Antenna Registration (ANTREG)
FAA Digital Obstacle (DOF)
PerCon Worldwide Table of Frequency Allocations
