By the time I've assembled the data for a competitive response, the slot the competitor filed for has already opened.
VP, Network PlanningMid-size US carrier
Decision intelligence for airline network planning
Airline network planning,
decided in minutes.
Krila replaces the six disconnected tools your planners toggle between every day with a single AI-powered decision workspace.
In evaluation with network planning teams at 5 airlines across 4 continents.
The unified workspace
Six tools, one decision surface.
Schedules in your PSS. Competitive capacity in OAG. Demand in MIDT. Fares in ATPCO. Operations in Cirium. Spreadsheets stitching it all together. Krila joins them into one decision layer, and deploys approved changes back into your PSS.
Today. Six systems, none aware of each other. Every route evaluation starts with copying between tabs.
For network planners
Built for the people who decide where aircraft fly.
Network planning is the highest-leverage decision an airline makes. A single new route can shift millions in annual revenue. The wrong frequency on the wrong day-of-week erodes a hub's connectivity for a year.
And yet most of the day is spent assembling data, not deciding. Pulling OAG schedules. Reconciling MIDT against booking exports. Re-running the same Excel template a colleague built in 2018.
Krila gives planners a workspace where the data is already joined, the AI already understands aviation constraints, and the analysis arrives in minutes, not days.
Inside the product
Six surfaces, one workspace. Every view backed by the joined data layer.
Network Overview
Morning briefing: every flag the agent surfaced overnight, ranked by Krila Score.
The problem
Your planners spend 80% of their day pulling data.
Mornings start the same way. Open your PSS. Pull yesterday's schedule. Toggle to OAG. Pull competitive capacity. MIDT for the booking export. Cirium for OTP. Excel to stitch it all together. By lunch the data is ready, and the analysis hasn't started.
Krila does the assembly automatically. What you do with the answer is the part that matters.
- Joined data layerSchedules, bookings, competitive capacity and demand stitched at the O&D level. No more reconciling exports.
- Aviation-aware analysisStage length, gauge, hub bank, fare class mix and codeshare flow handled as first-class concepts.
- Decisions in minutesAsk for a route evaluation in plain language. Receive a quantified scenario with assumptions and confidence shown.
- Audit-ready outputEvery recommendation shows its inputs, assumptions and source of truth. Defensible, reproducible.
The thesis
Krila changes the workflow, not the planner.
From planners we've talked to
Network planning is a fast-moving discipline trapped in slow-moving tools.
I have eleven tabs open right now. Three of them disagree about yesterday's bookings. I'd take half my mornings back.
Senior AnalystEuropean flag carrier
Most software treats us like a marketing team that happens to fly planes. The aviation context has to be the first thing it understands, not a config option.
Director, Schedule PlanningLatin American carrier
What I want is the answer with its assumptions visible. Not a dashboard. The dashboard is the work I'm trying to skip.
Manager, Network StrategyAPAC low-cost carrier
Connects to your existing systems
Read-only connectors for every system your planners already use.
SabreSSIMAmadeusPSSOAGschedulesCiriumon-timeMIDTdemandATPCOfaresDOTT-100FlightAwaretrackingSAPfinanceSnowflake / S3your warehouse