Ornatus
Turns an airport’s flight schedule into a clear, whole-system picture of delay and capacity, so planners can see the knock-on effects of change before they happen.
An airport is not a set of independent processes. Ornatus models it as a connected system, so a change in one place shows its consequences everywhere else.
What it is
Ornatus turns an airport’s flight schedule into a clear, whole-airport picture of delay and passenger flow.
Using machine-learning models of the key processes that make an airport tick, it shows how a given schedule will actually perform, and where the pressure points will be.
Because it sees the airport as a connected system, Ornatus reveals the knock-on effects of change — more demand here, less capacity there — across the whole operation rather than in isolation.
Planners can also let it optimise a schedule automatically against whatever measure matters most to them, making the inevitable trade-offs in schedule design explicit and manageable.
Real-world examples
Assessing how a proposed increase in flights would affect delay across an airport’s portfolio before capacity is committed.
Modelling the impact of a runway closure or a terminal constraint on the wider operation.
Reshaping a schedule to minimise delay — or any chosen metric — and showing planners the trade-offs involved.
