Airlines run on thin margins with zero tolerance for disruption. We help operations, network and engineering leaders make thousands of interdependent decisions with clarity and speed.
A grounded aircraft or a missed crew connection does not stay local. It cascades through rotations, slots and standby cover until the cost runs into the millions. Every recovery option trades one objective against another, in minutes.
Conventional MRO and crew systems were never built for this combinatorial complexity. And a prototype or a generic AI demo is not a production system. It has to survive daily operations, every shift, under load.
These are just some of the events a single day can throw at you. Each one forces a chain of re-decisions across the network. Solve them in isolation and you trade a fix here for a failure there.
and many more, every day
Our core is mathematical optimization, not a chatbot. Agentic AI sits on top as an orchestration layer, so your team can ask questions in plain language while the math does the deciding.
We have spent years building simulation and optimization solutions for operations where the cost of being wrong is measured in aircraft and hours. We tailor those systems to how your airline actually runs, so the software understands your constraints and gives you answers you can act on. Your team stays in control. The platform handles the complexity.
Ingests, cleans and connects data from MRO and maintenance systems, ERP, and live operational feeds. Everything is structured around how your airline actually runs, so decisions rest on one trusted foundation rather than a dozen spreadsheets.
Custom optimization models that simulate, optimize and forecast with mathematical precision. Run what-if scenarios on spare provisioning, fleet phase-out and reserve crew across both operational and strategic horizons.
Prototypes are easy. Running models reliably, every shift, is a different problem. Our platform is built for it, with dependable pipelines, monitoring and governance, proven inside a live airline environment.
Clients are anonymized. Figures shown are draft and confidential, pending validation before publication.
Across roughly 8,000 addressable airframe rotables and expendables, we re-optimize stocking and provisioning against real demand and lead times. The result is a defensible reduction in working capital while service levels hold.
For an eight-year widebody phase-out, we optimized which of 1,184 parts to harvest, pool, or divest. Harvesting, pooling at a six-day SLA, and mix-and-match across the fleet were balanced against the value of divestment.
We evaluate hundreds of thousands of candidate schedules continuously, using graph algorithms and stochastic optimization to position reserve crew and recover the operation. A developing disruption becomes an actionable recovery plan within minutes.
Tell us where the cost and the complexity sit, and we will show you what optimization can do for your airline or MRO.
