Storkjet

Katowice
32

Company

We analyzed over 4,1 mln of flights from various aircraft types starting from turboprops and ending at biggest jets, both short and long-hauls. Hard work brought the assumed results – we developed tail-specific performance models based on artificial intelligence that can predict fuel consumption at almost any atmospheric conditions and flight phases. We have proven that average error in fuel burn prediction is only a few kilograms per flight hour. This makes our performance models the most precise on the market what has been confirmed by our customers. This technology is now used in all of StorkJet’s products and services. 


We believe that by analyzing airlines' flight data we can make aviation more efficient than ever before. Each airline deserves solid fuel efficiency program. With specialized software they can now both save fuel and save the planet by reducing CO2 emissions!



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