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Norwegian

Rydoo Accounts Payable AI invoice automation at Norwegian

MidAmerica St. Louis

GoodMaps indoor navigation at MidAmerica St. Louis Airport

Lyon Saint-Exupéry Airport

Stan robotic valet parking at Lyon Saint-Exupéry

London Heathrow

Facial-recognition eGates at Heathrow

Almaty International Airport

Q-Gate biometric passport-control terminals at Almaty

Pittsburgh International Airport

Arrow Analytics EZ-Board computer-vision carry-on analytics test at PIT Gate A7

Federal Aviation Administration

FAA SMART airspace and trajectory management platform

Dubai International

Dubai Police AI systems for passenger screening, unattended baggage and camera analysis at Dubai airports

Spring Airlines

In-house machine-learning flight-recovery system at Spring Airlines

Ops analytics (stands, gating, A-CDM) · Supplier: In-house

Current reported state

Deployed

Spring Airlines said on 6 March 2026 that its in-house flight-recovery system combined machine learning with operations-research optimisation.

It quickly generated recovery plans, with 87.6% accuracy in retiming recommendations.

What the system does

Spring Airlines said on 6 March 2026 that its in-house flight-recovery system combined machine learning with operations-research optimisation.

It quickly generated recovery plans, with 87.6% accuracy in retiming recommendations.

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Live data from the Aerostack register. Status reflects published evidence only. See Our approach for how records are graded.

Aerostack tracks AI deployments across airports and airlines, with the published evidence behind each record. Photography is real aviation imagery. Record thumbnails may show the named airport or airline; other photographs do not.