An AI operations agent that predicts checkpoint bottlenecks, optimizes staffing in real-time, and routes passengers to the fastest lane. Before the lines even form.
Security wait times during Houston's 2026 airport crisis. Passengers missed flights. Airlines lost millions.
TSA officer call-out rate at IAH during peak disruption. No system predicted it. No system responded.
Annual airline losses from passenger delays and missed connections. Most preventable with better operations intelligence.
Ingests flight schedules, historical patterns, staffing rosters, weather data, and event calendars to forecast checkpoint load 2-4 hours ahead. Not retrospective analytics. Forward-looking intelligence.
Recommends checkpoint staffing reallocation before bottlenecks form. Factors in break schedules, shift changes, and cross-terminal deployment options. Sends actionable briefs to operations leads.
Pushes real-time guidance to digital signage and mobile channels, directing passengers to the fastest available checkpoint. Reduces peak-lane pressure by distributing load across terminals.
Delivers autonomous operations reports to airport management, airlines, and government partners. Escalates emerging risks before they cascade into system-wide failures.
Flight schedules, checkpoint throughput, staffing data, and external signals flow into Thruhub continuously.
AI models identify emerging bottlenecks hours before they form, accounting for cascading effects across terminals.
Staffing recommendations deploy to operations leads. Passenger routing updates push to signage and mobile. Situation briefs land in inboxes.
Thruhub is building the intelligence layer that every airport needs but none have. An agent that works 24/7, predicts what humans can't see, and acts before the lines start forming.