Foresight provides an AI‑powered decision‑copilot platform for airline operations controllers, enabling real‑time simulation of flight disruption scenarios.
Funding
Funding not disclosed
Founders
Product
Problem
Airline operations controllers must quickly resolve flight disruptions, but assessing the network-wide consequences of delay choices is complex and time‑consuming, often leading to sub‑optimal decisions that increase costs and degrade passenger experience.
Solution
Foresight offers an AI‑driven decision‑copilot that ingests live airline network data and simulates disruption scenarios in real time. Controllers select a flight and specify a minimum delay, after which the platform’s simulation engine evaluates multiple delay options across the entire network. Each option is ranked using three key metrics—on‑time performance, net promoter score impact, and operational cost—allowing users to compare trade‑offs instantly. The system presents a clear audit trail and visualizations of flight paths and sector impacts, enabling controllers to implement the chosen solution with confidence and improve overall network efficiency.
Target Audience
Primary users are airline operations control centers and flight dispatch teams responsible for managing real‑time disruptions across airline networks.
Features
- Real‑time integration of live flight schedules, crew, and sector data for up‑to‑date scenario modeling
- AI‑powered simulation engine that generates and ranks multiple delay options across the airline’s network
- Triple‑metric evaluation (on‑time performance, passenger NPS impact, and operational cost) displayed in an intuitive dashboard
- Quick flight selection from the active roster with minimum‑delay input controls
- Visual representation of flight routes and sector impacts for each decision option
- Decision audit trail that records inputs, evaluated options, and final selections for compliance and analysis