For charter brokers

Quote faster. Know more than the client.

Charter brokers operate on speed and information advantage. Clients increasingly have access to the same aggregators brokers use. The edge comes from knowing aircraft availability, operator reliability, and disruption risk before anyone else — and that data does not exist in any one place today.

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

Is N123AB available in KLAS this weekend?

N123AB is currently at KSDL (Scottsdale). Last flight landed 6 hours ago; no outbound activity since. Based on recent positioning it is a strong candidate for KLAS availability this weekend. Confidence: medium — confirm directly with the operator.

What you can ask

Delay prediction

Identify flights at high risk of delay or disruption hours before official reports, based on live positioning, historical on-time performance, and weather routing.

Is the Challenger 350 operating as GLF123 likely to be on time for its 18:00 departure from KTEB today?

Aircraft availability windows

Query live positioning and routing to identify which aircraft are likely to be available in a given location on a given date — before calling the operator.

Which Gulfstream G650s are currently within 2 hours of KLAX and haven't filed an outbound flight plan for tomorrow?

Operator reliability tracking

Build a view of how consistently specific operators perform — on-time rates, cancellation patterns, disruptions — to inform which operators you recommend to high-value clients.

What is the average delay rate for flights departing EGLL over the last 90 days?

Customer validation

Validated in the field

Validated with a managing partner who has spent 15+ years in charter, fractional, and aircraft acquisitions — delay awareness and availability querying as the highest-value use cases.

Quote faster. Know more than the client.

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