From rostering to day-of control, keep crews legal, covered, and synchronized

Build schedules, align crews and aircraft, and respond to volatility with a single predictive loop that keeps profitability and reliability balanced

Capability for Crew Management

Plan pairings,

monitor legality, and

resolve disruption at machine speed

Crew Management

From plan to day-of, nothing breaks the thread

Air-OS connects crew planning, crew scheduling, operational telemetry, and contract logic into one live operational model. It supports long-range pairing and coverage decisions, continuously checks legality and contractual limits as operations evolve, and helps schedulers respond to delays, diversions, sick calls, and misconnects before they cascade through the network. Crew-specific compliance and recovery are surfaced in real time, not after the damage is already done.

Platforms

Plan coverage. Protect legality.

Stay ahead of disruption.

Capabilities

Crew Pairing & Rostering

Air-OS helps planning teams build stronger pairings and monthly coverage plans by aligning qualifications, fleet, bases, duties, and contract rules before the operation begins. Because planning happens outside the time-critical loop, teams can model better outcomes up front and reduce the downstream burden placed on scheduling.

Capabilities

Real-Time Legality & Crew Alerting

Air-OS continuously monitors crew legality as the day of operation shifts, checking FAR 117, contractual duty limits, qualifications, and assignment constraints against live network conditions. Schedulers receive early alerts when delays, diversions, misconnects, or absences create exposure, so they can intervene before a legal or contractual issue becomes an operational failure.

Capabilities

Crew Scheduling & Coverage Control

Air-OS helps schedulers maintain legal, qualified, and operationally feasible coverage as disruption changes the day of operation. It surfaces exposed assignments, feasible replacements, and downstream crew impacts early, giving teams the context they need to protect rotations, preserve coverage, and prevent local disruptions from turning into wider network problems.

Highlights

Crew Management

Network Optimizer

Generate legal crew pairings with machine learning that weighs fatigue, union rules, and historical disruption risk.

AI Pairing Engine

AI models surface emerging disruption from weather, ATC, crew, and fleet signals before operational thresholds are breached, giving teams the lead time to act rather than react.