JETNET is extending its aviation intelligence beyond its own applications, allowing customers to access aircraft, ownership and transaction data through AI assistants and workplace tools. The Utica, New York-based company is combining its records with WINGX flight-activity data for use in ChatGPT, Claude, Microsoft Copilot, Teams, Slack, WhatsApp, Salesforce and HubSpot, targeting faster analysis within existing business-aviation workflows.
The connectors are designed to address the limitations of general-purpose AI systems, which may produce incomplete or outdated answers to specialist aviation questions. JETNET’s approach grounds responses in controlled datasets and provides source traceability, enabling users to investigate aircraft markets, ownership, transactions, fleet utilisation, market size and commercial opportunities without working exclusively inside a separate JETNET application.
Christoph Kohler, JETNET chief data scientist and WINGX managing director, was scheduled to demonstrate AI agents combining the two companies’ datasets at the Las Vegas Convention Center during NBAA-BACE 2026. The session was set to focus on applications for OEMs, operators, fuel suppliers and financiers.
JETNET also introduced Ramp Monitor, which identifies addressable aircraft ground movements by service ramp for airport-service providers. The product tracks activity across handling, parking, fuel and maintenance. JETNET reports that usage of its AI has tripled over the previous six months, although it has not disclosed connector availability by customer tier, pricing or independent accuracy testing.