Pioneering the new era of Machine Learning tools for aviation


Artificial Intelligence boosting airport capacity



  • Predicts runway occupancy time and exit taken with an accuracy up to 95%

  • Enables a more efficient traffic spacing while respecting separation minima

  • Focus on safety to maximise capacity

  • Leverages on airport data and fusing with other private and public data (Meteo, FDM, A-SMGCS, ADS-B…)

  • Solution provided as a service. No implementation costs, no infrastructure required. Fully compatible with existing systems.

  • With the DataBeacon commitment: you remain in full control of your data.

SmartRunway is a game-changing application to optimise airport runway utilization

SmartRunway leverages  on air traffic data and enriched with other public data sources
to train a state-of-the-art AI predictive engine to effectively optimise runway throughput.

The engine uses machine learning algorithms supported by big data technologies.

SmartRunway  identifies patterns in data and generates a list of potential precursors prior to any deviation on standard runway occupancy times. Patterns and precursors are then transferred into ‘what-if’ statements by analysing relations between the Runway Occupancy Time (ROT)
and the most relevant features.
Extracting more value from existing airport runways is high impact for airport operators.

Air traffic forecasts predict a significant air traffic growth for the coming years.

SmartRunway puts Artificial Intelligence at the serve of air traffic control to optimize runway throughput at peak hours making the most of current infrastructure. Our technology enables to satisfy growing demand without investing on new infrastructure.

«The International Air Transport Association (IATA) revealed that present trends in air transport suggest passenger numbers could double to 8.2 billion in 2037.»


«1.9 million flights will not be accommodated in 2035 in Europe, resulting in about 120 million passengers being unable to fly»