Assigning aircraft to flights means balancing many factors at once, and re-planning under disruption is where cost and on-time performance are decided. We build for both the plan and the recovery, with the controller always in command.

From the long-term assignment to the moment it all has to change.
Matching each aircraft to each flight means balancing seats, weight, noise limits and airport discounts, country permits, fuel and emissions, maintenance routing and leased-versus-owned engine cycles - usually across separate teams and spreadsheets, with no consistent combined view. Faced with that complexity, legacy systems fall back on the crudest rule of all: whether the seat count fits.
One connected view that weighs every factor together, on your own data, rather than each department optimizing its own corner and undoing the rest.
Two to three days out, the plan is handed to the control centre and reworked against reality - constraints the long-term plan never saw. Optimizing at this stage for a different objective often undoes earlier work, and it happens under severe time pressure.
A re-assignment workspace that keeps the plan coherent as it changes, right up to departure so the handover into the day of operation is controlled, not chaotic.
Today it's largely reactive — disruption is handled only once it hits. Controllers respond in real time (cancel, swap, delay, re-hotel), with consequences cascading through every later flight for that aircraft, and the data scattered across weather sites, hotel lists and spreadsheets. The call isn't purely financial either: who's on board, how many children, how many passengers heading home. Controllers describe it as playing chess with the network.
A recovery workspace that anticipates disruption from weather, ATC and aircraft positioning before it's declared, pulls the scattered signals into one place, and recommends ranked options across aircraft, crew and passengers together while the experienced officer retains the final decision. We augment judgment; we don't replace it.
To choose between delay, cancel and swap, controllers need the true cost of each option in one number, knock-on hotels and transport included, not a mental approximation.
A cost engine that prices each option, from narrow to network-wide, paired with an options search that widens the alternatives and feeds both into the recovery workspace.
Explore how we redefine industry standards through innovation.
From long-term tail assignment to day-of-ops recovery — tell us where the decisions are hardest, and we'll show you what we'd build.