An early warning system for stable ATM strategies
In current practice, air traffic controllers are provided with thunderstorm predictions 3 hours in advance. This lack of information unables the strategic planning of traffic operations, forcing air traffic controllers to manage demand-capacity balancing issues from thunderstorms in a tactical fashion, which leads to chaotic situations and an excess of delays due to weather.
Why don't we change this?
Have you ever imagined being able to predict severity and altitude of thunderstorms up to 36 hours in advance?
Interested in knowing the weather forecast for a specific region of the world? We can make it possible anywhere.
More safety & less delays
What if you were able to improve aviation safety and reduce flight delays?
Weather accounts for one quarter of en-route ATFM delay.
Yearly costs due to delay can reach into the billions of euros.
Unprecedented joined talent. Impeccable reliability.
AI METHODS was born from a research project in Carlos III University of Madrid (UC3M). The close relationship between the company and the Aerospace Engineering Research Group of UC3M provides a continuous pipeline of research insights and high-quality talent to an industry suffering from a skills shortage.