aerostack

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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

How Aerostack works

Follow the evidence.
Keep the context.

Aerostack connects reported developments to their sources and preserves the history as new information becomes available.

01

Monthly review

Announcements and updates are reviewed each month.

02

Source evidence

Published sources sit alongside the claims they support.

03

Tracked over time

New evidence adds to the record. Earlier updates stay visible.

Reported is not the same as proven.

An announcement, a live system and a measured result are different claims. The proposed interface makes those differences explicit and shows what remains unknown.

Explore a sample record

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.