Early, accurate and smart weather forecasts for stable ATM strategies
In current practice, air traffic controllers are provided with thunderstorm predictions 3 hours in advance. This lack of information impedes the strategic planning of traffic operations, forcing air traffic controllers to manage demand-capacity balancing issues from thunderstorms in a tactical fashion, which can lead to chaotic situations and an excess of delays due to weather.
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Why don't we change this?
Improved accuracy
What if you could boost the prediction accuracy of weather phenomena affecting aviation by up to 30%?
Intelligence worldwide
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 could predict thunderstorm severity and altitude up to 36 hours in advance—boosting aviation safety and minimizing delays?
Weather accounts for one quarter of en-route ATFM delay.
Yearly costs due to delay can reach into the billions of euros.
Year 2018
505M€
4,810 minutes of delay
Year 2019
382M€
3,637 minutes of delay
Year 2022
384M€
3,657 minutes of delay
Source: EUROCONTROL Annual Performance Review Report
A university spin-off
AI METHODS was born from a research project at Universidad Carlos III de Madrid (UC3M). It has now become a spin-off of the university, which has a stake in the company.
The close relationship between AI METHODS and the Aircraft Operations Lab UC3M provides a continuous pipeline of research insights and high-quality talent to an industry suffering from a skills shortage.
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Collaborations
