Fleet monitoring across multiple lessees, operators, and jurisdictions is fragmented. Lessors rely on self-reported utilisation data, periodic MRO updates, and manual spot-checks. By the time a stress signal surfaces, it is already a problem.
Wingbits.AI sits on our own network of 6,000+ professionally operated ADS-B ground stations across 120+ countries — live and historical flight data, authenticated at the source. You ask in plain English. No integrations to build, no query language, no API docs to read first.
Which of my A320s haven't flown in 21 days?
3 tails match. N4021 — last seen Sharjah (OMSJ), 24 days ago, operated by Sky One, 38% utilisation over 90 days. N4055 — last seen Tbilisi (UGTB), 22 days ago. N4090 — last seen Lagos (DNMM), 21 days ago. Full per-tail history attached.
Detect early indicators that a lessee is struggling — reduced utilisation, unusual routes, grounding patterns — before it becomes a default or repossession situation.
Show me any of my A320s that have had less than 40 flight hours in the last 30 days across all operators.
Identify aircraft from your portfolio that have been on the ground longer than expected, based on observed ADS-B movement — so you can ask the operator why.
Which of my Boeing 737s haven't moved in more than 14 days?
Track when an aircraft from your portfolio changes operator, callsign, or registration — often the first visible sign of a sub-lease or an unreported transfer.
Alert me if any tail in my portfolio changes its operating callsign without prior notice.
Validated with the technical asset-management team at a top-tier aircraft lessor — lessee stress signals, stationary detection, and operator-change monitoring as their three primary use cases.
Wingbits.AI pulls utilisation from live and historical ADS-B observations across 6,000+ ground stations in 120+ countries, so lessors can see observed flight hours, routes, and inactivity patterns per tail instead of waiting on periodic reports from the lessee.
Yes. You can set up a monitoring agent that flags any tail in your portfolio that hasn't moved in a set number of days, based on observed ADS-B activity. Extended grounding is often the earliest visible sign of a lessee under financial stress — Wingbits.AI shows the movement pattern; confirming the reason (such as scheduled maintenance) sits with the operator.
Wingbits.AI tracks changes in operating callsign and registration for any aircraft in your portfolio and can alert you the moment a tail starts flying under a different callsign than the one on file — an observed signal of a possible sub-lease or transfer to confirm with the lessee.
Reduced flight hours, unusual routing, extended grounding, and utilisation drops against historical averages are all visible in ADS-B data well before a lessee misses a payment or files for restructuring.
No. You ask questions in plain English, for example "which of my A320s haven't flown in 21 days," with no integration to build, no query language, and no API docs to read first.
Yes. The data comes from Wingbits' own global ADS-B network rather than lessee-submitted reports, so monitoring works the same way regardless of which lessee or country is operating the aircraft.
It's live and continuously updated from ADS-B position reports, with full historical flight records per tail, so checks reflect what an aircraft is doing right now rather than a snapshot from the last MRO visit.