Data-driven decision support for aviation operations
AI METHODS provides AI-enhanced aviation weather intelligence using machine learning, meteorological data, and ATM expertise.
The goal is to integrate these capabilities with operational data to enable predictive, uncertainty-aware decision support for aviation operations.
Smarter operational decisions
Transform atmospheric uncertainty into clear, actionable intelligence that improves planning and operational efficiency.
Scalable weather intelligence
Deploy AI-based weather intelligence to different regions, hazards, and operational environments, from local airport use cases to broader network-level applications.
Safer and more resilient aviation
Enable data-informed and proactive decision-making that helps reduce disruptions, enhance safety and minimize flight delays.
Weather drives up to 50% of en-route
ATFM delays in Europe,
leading to operational disruption alongside capacity constraints and airspace limitations.
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.
Collaborations
Are you ready to lead the next revolution in aviation?
A new industrial revolution is reshaping how the world moves, connects, and operates. At its core, artificial intelligence is becoming the key driver of this transformation.
The time has come to unleash its potential in the aviation sector, transforming uncertainty into predictive operational decisions that directly impact safety, efficiency, and performance.
The question is not if aviation will transform, but who will lead it.