For insurance underwriters

Risk signals before the claim arrives.

Underwriters assess risk at policy inception and renewal, but aircraft behaviour changes continuously. Conflict-zone exposure, utilisation spikes, operator changes, and unusual routing happen between renewals and are invisible until a claim is filed.

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.

Wingbits.AI — example

Has this tail operated in any sanctioned airspace in the last 90 days?

Tail G-ABCD: 2 airspace intersections flagged in the last 90 days. 14 Apr — transited within range of a sanctioned-region designation en route OMDB→UUEE. 2 May — same corridor. Routes, timestamps, and a per-flight risk classification are attached.

What you can ask

Conflict zone proximity

Identify whether a specific tail or fleet has operated in or near designated conflict zones, sanctioned airspace, or high-risk regions — at any point in the policy period.

Has tail N789XY operated near any active conflict-zone airspace in the last 6 months?

Utilisation anomalies

Detect significant deviations from declared utilisation — a tail flying far more or far fewer hours than the policy basis — which changes the risk profile materially.

Which tails in this fleet are flying more than 20% above their declared annual utilisation rate?

Operator & registration changes

Track undisclosed changes in operator, sub-lessee, or registration that may not be reported to the insurer but are visible in live ADS-B data.

Has the operating entity for tail G-ABCD changed since policy inception in January?

Customer validation

Validated in the field

Validated against live sanctions-screening workflows run independently by asset-finance and insurance risk teams — compliance and sanctions monitoring as a high-pull use case.

Risk signals before the claim arrives.

Talk to our risk data team