How it works

Five steps from raw data
to route decision.

No spreadsheets.

1

Connect Your Data

Read-only connectors plug into your PSS (Sabre, Amadeus, Navitaire, or whichever you run) plus your warehouse and any export pipeline you already trust. No re-platforming. No new pipelines for your team to maintain.

Krila handles the schema reconciliation, the part that makes integration projects slip by quarters.

You get
Schedules and bookings live in Krila within hours of credentials being shared.
PSSOAGMIDTCIRATPCOKrilajoined
2

Enrich with Industry Data

Your data joins OAG schedules, MIDT demand, Cirium operational signal, ATPCO fares and DOT T-100, all maintained by Krila. The aviation context layer (O&D structure, gauge, hub banks, spill / recapture) is applied on top.

You bring schedules and bookings. We bring everything else, fresh, and joined.

You get
A single queryable network view that’s already aware of stage length, banks, and codeshare flow.
Your dataschedules · bookingsIndustry overlayOAG · MIDT · Cirium · ATPCO · DOTAviation contextO&D · gauge · banks · spilljoined
3

Ask in Plain Language

Type a question the way a planner thinks. “Where could a 738 earn back its lease this winter?” “Show me transcon routes where premium yield is up but RASM lags.” “Who would respond if we add daily MEX–MAD?”

Krila returns a structured answer with the data, the assumptions, and the confidence shown.

You get
A ranked list of candidates, with the reasoning visible, not a black-box score.
Where could a 738 earn back its lease this winter?KRILA · 4 candidatesAUS → NRT0.94+$2.1MBNA → LHR0.91+$1.7MSLC → GRU0.83+$1.4MBOI → PVG0.78+$1.1M
4

Simulate Scenarios

Tweak frequency, gauge, day-of-week. Krila reruns the network with codeshare flow, hub bank effects and recapture handled natively. Side-by-side scenarios with delta on every metric that matters.

The sensitivity analysis that used to require a quarter of an analyst’s time is the default output.

You get
Quantified trade-offs with confidence and the assumptions driving each option.
BASELINE$1.84M4× weeklyLF78.2OPTION A$2.61MdailyLF74.8Δ +$770K
5

Decide and Monitor

Commit a decision in Krila and the platform tracks it against the forecast. New competitive filing, demand shift, capacity change. Krila tells you which assumption broke and what changed.

The agent loop closes here: detect change, recompute, propose, learn from outcomes.

You get
Live tracking of every decision against its forecast, with the assumption breaks called out.
SEA–HNL · DAILY · LIVEvs forecast+ 2.1%confidence0.86▸ tracking

See it on your routes.

30 minutes. Your data. No slides.

Or email us at hello@krila.ai