Safran launches AI tool for GNSS simulation automation

Safran Electronics & Defense has unveiled Skydel AI, a breakthrough in GNSS simulation technology that uses artificial intelligence (AI) to automate and simplify simulation scenario setups.

Skydel AI streamlines GNSS simulation scenario creation through intelligent automation and an intuitive interface. Using natural language commands, Skydel AI allows users to query GNSS/Skydel topics, request assistance and dynamically configure simulation parameters by creating Python code for use by Skydel. The technology eliminates complexity and significantly reduces setup time.

“Soon available as part of Safran’s Support offerings, Skydel AI can help customers drastically improve their development cycles by accelerating manual scenario tuning and reducing long test cycles within Skydel,” said Pierre-Marie Leveel, program director for PNT at Safran. “Already established as the most flexible, robust, and accurate GNSS simulation engine, Skydel never stops innovating and delivering what the market requires – whether it is more realism, higher accuracy, more environment complexity, or ease of use.”

The company also introduced an AI-powered tropospheric model that enhances Skydel’s tropospheric simulation using real-time weather data and AI predictions to improve wet delay accuracy. Integrated with the Open-Meteo API and Skydel’s system, it relies on a neural network trained on 14 million samples from 221 GNSS stations, delivering up to 88% more accuracy. This model will be available in a future Skydel release.

The technical breakthrough reflects Safran Electronics & Defense’s commitment to redefining GNSS simulation with intelligent, adaptable and high-performance solutions for mission-critical applications.