A lease visualization and forecasting platform, accurate to the cent.
LeaseStage uses AI to extract the lease terms from the contract documents. It then models the full agreement and projects rent, maintenance reserves, maintenance costs, other charges and exposure across the lease term. Change any contractual or operational parameter and the complete forecast and its visualizations are recalculated in seconds, not hours or days.
In practice
Adjust a shop visit on the timeline and the whole forecast moves with it.
Shop visits are moved directly on the timeline, with asset and component downtime accounted for precisely. Utilization assumptions can be adjusted for specific periods of the lease. Every change is recalculated in seconds.
Adjust shop visits
Move an event on the timeline; asset and component downtime is accounted for accurately.
Adjust utilization
Set flight hour and cycle assumptions for specific periods of the lease.
Results in seconds
Exposure, reserves and risk are recalculated for every period the moment a change is made.
The engine
LeaseStage is powered by Trikāla, Aerople's state-of-the-art calculation engine for contractual cash flow and maintenance forecasting.
Seconds
Not hours or days
Change a rent step, a utilization assumption or the timing of a shop visit and the entire forecast is rebuilt on the spot: every period, every reserve, every balance.
$0.01
Cent-level accuracy, traceable
Every figure is derived, not estimated, and opens to its own step-by-step calculation trail. Anything the engine cannot price is listed, never assumed.
AI
Lease terms extraction
Scan the lease agreement; rent schedules, reserve rates, assumed utilization and key dates are captured for review in minutes, not re-keyed by hand.
Yours
Built on your own data
Forecasts use your own maintenance cost data and lease records, so results reflect your portfolio rather than industry averages.