that recovers a disrupted day in milliseconds.
Airlines lose most to irregular operations, a delay, a tech stop, a weather closure - when the schedule must be rebuilt under pressure, fast. Our engine re-optimises routing and fleet assignment in milliseconds, and matches the provably optimal answer where optimality is provable. It is the same mathematics that brings order to chaos and beats Google OR-Tools on the public VRP benchmarks we ran, applied to the operations that move metal and people.
Enterprise solution · scoped per carrier · on-premise or private-cloud deployment available
The proof
Provable optimisation, at operational speed.
The answer is solved, not guessed: certified optimal where optimality is provable (5/5 on exact instances); 3.05% mean from the world's best-known on the public routing benchmark, beating Google OR-Tools on every instance, with the margin widening on the hardest problems. Every result is certificate-verifiable; the method is proprietary. Full report: TR-2026-01.
What we optimise for an airline
What runs live on the engine today, and what is a scoped enterprise build.
Aircraft routing & turnaround
Sequence flights to tails respecting minimum turnaround, curfews and station times, as a time-windowed routing problem the engine solves to the best run in seconds and re-solves in milliseconds.
Airport ground-fleet scheduling
Catering trucks, fuel bowsers, baggage tugs, de-icing rigs and crew buses across a hub, a multi-vehicle, time-windowed, capacitated schedule: exactly what the API solves and certifies today.
Disruption (IROPS) recovery
When the day breaks, re-optimise the affected routing and assignments from the live state in milliseconds, the engine's defining strength is that re-planning costs the same as planning.
Crew transport & logistics
Moving crews between hotels, terminals and aircraft on time, at lowest cost, a routing problem with hard time windows, solved and re-solved live.
Fleet & gate assignment
Assignment-class problems we scope and model on the same energy-optimisation core, validated against your historical schedules before any go-live.
Crew pairing & rostering
A distinct set-partitioning class. We engage consultatively, model it on the core, and prove the result against your incumbent before deployment, never claimed as solved before it is measured.
Why airlines engage us
| The operational pain | What the engine delivers |
|---|---|
| IROPS recovery is slow, controllers rebuild by hand while costs compound | Millisecond re-optimisation from the live state; options on screen before the next decision |
| Ground-fleet schedules are built once and degrade all shift | Continuous re-optimisation, affordable to re-run on every gate change or delay |
| Optimisation vendors are black boxes you cannot audit | Every solution is a verifiable certificate; quality is benchmarked publicly, not asserted |
| Data-sovereignty and security constraints block cloud tools | On-premise / private-cloud deployment; your operational data never leaves your tenancy |
Recover a disrupted day in milliseconds.
Elara-Cortex Aviation · enterprise operations optimisation · provably optimal where provable · on-premise deployment available