Air-OS gives airline operators one predictive platform for schedules, crews, customers, and fleet health
Coordinate faster, protect margins, and deliver reliable journeys at scale
Solutions for Commercial Airlines
Turn disruption
into a competitive
advantage
Commercial Airlines
Gain complete control with real-time predictive intelligence
Air-OS transforms how operators work with data. It replaces scattered tools with a single predictive platform that learns from every flight, adapts in real time, and turns complex information into actionable insights in seconds.
Using machine intelligence and human-centric design, Air-OS optimizes the 4D flight path. It adjusts route, altitude, and speed to anticipate weather, manage delays, and execute diversions with precision. Sync cockpit and ops for fast, precise decisions.
Air OS
Designed for complex
airline enterprises
Solution
Network Operational Control
Keep schedules profitable, even under disruption. With real-time modeling of demand, capacity, and fleet availability, Air-OS lets you shift traffic while protecting revenue.
Solution
Global Crew Management
Synchronize crew plans with operations. Automated legality checks and suggested pairings prevent costly delays and cancellations.
Solution
Customer Operations
Ensure reliable journeys and shipments through proactive disruption management. AI-powered AutoRecovery keeps operations on track and protects revenue.
Highlights
Commercial Airline
![](data:image/svg+xml,<svg display="block" role="presentation" viewBox="0 0 52 52" xmlns="http://www.w3.org/2000/svg"><path d="M 0 1.399 C 0 1.135 0.037 0.881 0.102 0.638 C 0.693 1.152 1.412 1.632 2.244 2.066 C 2.359 2.232 2.523 2.412 2.75 2.605 C 3.335 3.104 4.24 3.598 5.445 4.032 C 7.847 4.898 11.232 5.454 15.019 5.454 C 18.805 5.454 22.19 4.898 24.592 4.032 C 25.797 3.598 26.702 3.104 27.286 2.605 C 27.874 2.104 28.036 1.693 28.036 1.399 C 28.036 1.398 28.035 1.396 28.035 1.394 C 28.689 0.961 29.242 0.493 29.681 0 C 29.903 0.426 30.036 0.893 30.036 1.399 C 30.036 2.502 29.414 3.42 28.584 4.128 C 27.75 4.839 26.601 5.434 25.27 5.914 C 22.598 6.877 18.974 7.454 15.019 7.454 C 11.063 7.454 7.438 6.877 4.767 5.914 C 3.435 5.434 2.287 4.839 1.453 4.128 C 0.623 3.42 0 2.502 0 1.399 Z" fill="rgb(255, 255, 255)" height="7.454099999999997px" id="t_8xDRVgK" transform="translate(11 35.546)" width="30.036099999999998px"/><path d="M 0 5.735 C 0 4.633 0.623 3.715 1.453 3.007 C 2.287 2.296 3.435 1.701 4.767 1.221 C 6.032 0.764 7.512 0.396 9.14 0.134 L 9.14 2.16 C 7.751 2.4 6.503 2.72 5.445 3.102 C 4.24 3.536 3.335 4.03 2.75 4.528 C 2.162 5.03 2 5.442 2 5.735 C 2 6.029 2.162 6.44 2.75 6.941 C 3.335 7.44 4.24 7.934 5.445 8.368 C 7.847 9.234 11.232 9.79 15.019 9.79 C 18.805 9.79 22.19 9.234 24.592 8.368 C 25.797 7.934 26.702 7.44 27.286 6.941 C 27.874 6.44 28.036 6.029 28.036 5.735 C 28.036 5.442 27.875 5.03 27.286 4.528 C 26.702 4.03 25.797 3.536 24.592 3.102 C 23.309 2.639 21.747 2.267 19.993 2.02 L 19.993 0 C 21.978 0.264 23.773 0.681 25.27 1.221 C 26.601 1.701 27.75 2.296 28.584 3.007 C 29.414 3.715 30.036 4.633 30.036 5.735 C 30.036 6.838 29.414 7.756 28.584 8.464 C 27.75 9.175 26.601 9.77 25.27 10.25 C 22.598 11.213 18.974 11.79 15.019 11.79 C 11.063 11.79 7.438 11.213 4.767 10.25 C 3.435 9.77 2.287 9.175 1.453 8.464 C 0.623 7.756 0 6.838 0 5.735 Z" fill="rgb(255, 255, 255)" height="11.790099999999999px" id="uxzoMFS74" transform="translate(11 25.695)" width="30.036099999999998px"/><path d="M 8.14 22.056 L 8.14 10.728 C 8.14 9.153 7.521 7.642 6.416 6.52 L 0 0" fill="transparent" height="22.055889999999998px" id="peJsTSly6" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="10" stroke-width="2" stroke="rgb(255, 255, 255)" transform="translate(12.905 9.836)" width="8.1396px"/><path d="M 0 22.056 L 0 10.728 C 0 9.153 0.619 7.642 1.724 6.52 L 8.14 0" fill="transparent" height="22.055889999999998px" id="ZyB_jT_WD" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="10" stroke-width="2" stroke="rgb(255, 255, 255)" transform="translate(30.088 9.836)" width="8.139599999999998px"/><path d="M 0 0 L 0 23.894" fill="transparent" height="23.893829999999998px" id="SR8gMpKuG" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="bevel" stroke-width="2" stroke="rgb(255, 255, 255)" transform="translate(25.566 7.997)" width="1px"/></svg>)
Unified Ops + Commercial KPIs
Centralize completion factor, OTP, load factor, and yield management in one control center, enabling decisions that drive reliability and profitability.
![](data:image/svg+xml,<svg display="block" role="presentation" viewBox="0 0 52 52" xmlns="http://www.w3.org/2000/svg"><path d="M 0 14 L 0 13 C 0 5.82 5.82 0 13 0 L 14 0" fill="transparent" height="14px" id="mHvidHbVR" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="10" stroke-width="2" stroke="rgb(255, 255, 255)" transform="translate(26 26)" width="14px"/><path d="M 0 14 C 0 6.268 6.268 0 14 0" fill="transparent" height="14px" id="toOZSuPxk" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="10" stroke-width="2" stroke="rgb(255, 255, 255)" transform="translate(9 9)" width="14px"/><path d="M 14 0 C 14 7.732 7.732 14 0 14" fill="transparent" height="14px" id="s2QJf1YE4" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="10" stroke-width="2" stroke="rgb(255, 255, 255)" transform="translate(29 29)" width="14px"/><path d="M 14 14 L 13 14 C 5.82 14 0 8.18 0 1 L 0 0" fill="transparent" height="14px" id="I1OmvMQip" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="10" stroke-width="2" stroke="rgb(255, 255, 255)" transform="translate(26 12)" width="14px"/><path d="M 14 0 L 14 1 C 14 8.18 8.18 14 1 14 L 0 14" fill="transparent" height="14px" id="cdDPvKJj_" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="10" stroke-width="2" stroke="rgb(255, 255, 255)" transform="translate(12 12)" width="14px"/><path d="M 0 0 L 1 0 C 8.18 0 14 5.82 14 13 L 14 14" fill="transparent" height="14px" id="iuyNqwoYP" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="10" stroke-width="2" stroke="rgb(255, 255, 255)" transform="translate(12 26)" width="14px"/></svg>)
Predictive Disruption Management
Forecast weather, congestion, and maintenance risk hours ahead. Deploy pre-built playbooks before passengers feel the impact.
![](data:image/svg+xml,<svg display="block" role="presentation" viewBox="0 0 52 52" xmlns="http://www.w3.org/2000/svg"><path d="M 30 18.301 L 30 18.495 C 30 21.533 28.619 24.406 26.247 26.303 L 15 35.301 L 8.125 29.801 M 8.125 29.801 L 3.753 26.303 C 1.381 24.406 0 21.533 0 18.495 L 0 3.301 L 9.847 0.675 C 13.223 -0.225 16.777 -0.225 20.153 0.675 L 30 3.301 L 30 13.301 Z" fill="transparent" height="35.30109977722168px" id="RBHqwQnQF" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="10" stroke-width="2" stroke="rgb(255, 255, 255)" transform="translate(11 8.699)" width="30px"/></svg>)
![](data:image/svg+xml,<svg display="block" role="presentation" viewBox="0 0 52 52" xmlns="http://www.w3.org/2000/svg"><path d="M 0 11.224 L 9.373 11.224 C 11.727 11.224 14.016 11.992 15.895 13.41 L 16.404 13.795 C 17.44 14.577 18.702 15 20 15 C 21.298 15 22.56 14.577 23.596 13.795 L 24.86 12.84 C 26.249 11.792 27.941 11.224 29.681 11.224 L 40 11.224 M 0 11.224 L 3.348 7.467 C 7.58 2.717 13.639 0 20 0 C 26.361 0 32.42 2.717 36.652 7.467 L 40 11.224 M 0 11.224 L 3 16.612 M 40 11.224 L 36.876 16.612 M 3 16.612 L 6 22 L 33.753 22 L 36.877 16.612 M 3 16.612 L 13 16.612 M 36.877 16.612 L 27 16.612" fill="transparent" height="22.000000872802733px" id="VW2xJEd_I" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="10" stroke-width="2" stroke="rgb(255, 255, 255)" transform="translate(5 10)" width="40px"/><path d="M 24 0 C 22.161 3.677 18.403 6 14.292 6 L 9.708 6 C 5.597 6 1.839 3.677 0 0" fill="transparent" height="6.0001999999999995px" id="Zpyif9kPp" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="10" stroke-width="2" stroke="rgb(255, 255, 255)" transform="translate(13 36)" width="24px"/></svg>)
Fleet & CrewOptimization
Simulate swaps and tail assignments with machine-speed analytics that respect maintenance, legality, and other operational downstream impacts.
![](data:image/svg+xml,<svg display="block" role="presentation" viewBox="0 0 52 52" xmlns="http://www.w3.org/2000/svg"><path d="M 0.733 0 C 1.128 0.83 1.566 1.663 2.045 2.493 C 3.988 5.858 6.323 8.646 8.701 10.663 C 8.373 10.902 8.048 11.129 7.722 11.335 C 7.549 11.445 7.377 11.549 7.207 11.648 C 4.791 9.518 2.477 6.687 0.553 3.354 C 0.363 3.024 0.178 2.692 0 2.361 C 0.203 1.589 0.447 0.8 0.733 0 Z" fill="rgb(255, 255, 255)" height="11.648299999999995px" id="cE6fw3x5W" transform="translate(16.171 28.027)" width="8.7015px"/><path d="M 1.502 0 C 3.861 2.114 6.115 4.894 7.997 8.153 C 8.209 8.521 8.414 8.89 8.611 9.26 C 8.409 10.039 8.165 10.835 7.879 11.643 C 7.468 10.768 7.011 9.889 6.506 9.014 C 4.604 5.72 2.326 2.978 0 0.973 C 0.289 0.766 0.576 0.569 0.863 0.387 C 1.079 0.25 1.292 0.121 1.502 0 Z" fill="rgb(255, 255, 255)" height="11.643200000000002px" id="gGRbOdaVS" transform="translate(27.367 12.466)" width="8.610700000000001px"/><path d="M 32.663 9.938 C 32.653 10.161 32.639 10.385 32.622 10.612 C 35.444 12.51 38.158 15.005 38.158 17.739 C 38.158 19.967 37.02 22.037 35.072 23.754 C 34.977 23.084 34.853 22.402 34.701 21.713 C 35.864 20.437 36.436 19.069 36.436 17.739 C 36.436 15.98 34.436 14.153 32.386 12.563 C 32.1 14.304 31.605 16.138 30.908 18.003 C 31.965 20.834 32.559 23.59 32.663 26.062 C 32.83 30.044 31.729 33.54 28.944 35.148 C 26.159 36.756 22.582 35.961 19.217 33.825 C 19.18 33.802 19.144 33.778 19.107 33.753 L 19.073 33.731 L 19.044 33.712 L 18.983 33.752 C 18.946 33.777 18.909 33.801 18.871 33.825 C 15.506 35.961 11.928 36.756 9.143 35.148 C 6.358 33.54 5.258 30.044 5.425 26.062 C 5.441 25.665 5.471 25.261 5.512 24.851 C 2.704 22.955 0 20.466 0 17.739 C 0 15.632 1.018 13.666 3.777 12.006 C 3.868 12.703 3.988 13.412 4.142 14.13 C 2.19 15.3 1.722 16.536 1.722 17.739 C 1.722 19.503 3.728 21.336 5.79 22.929 C 6.084 21.341 6.549 19.683 7.178 17.998 C 6.121 15.168 5.529 12.41 5.426 9.938 C 5.259 5.956 6.359 2.46 9.143 0.852 C 11.928 -0.756 15.506 0.039 18.871 2.175 C 18.907 2.198 18.943 2.221 18.979 2.245 C 19 2.259 19.021 2.273 19.043 2.287 L 19.068 2.271 C 19.117 2.238 19.167 2.206 19.216 2.175 C 22.581 0.039 26.159 -0.756 28.944 0.852 C 31.729 2.46 32.83 5.956 32.663 9.938 Z M 28.083 2.343 C 26.133 1.217 23.304 1.62 20.139 3.629 C 18.734 4.52 17.307 5.706 15.929 7.143 C 16.952 7.036 17.143 6.978 18.218 6.978 C 18.328 6.978 18.438 6.979 18.548 6.98 C 19.159 7.524 19.769 8.125 20.369 8.779 C 19.666 8.726 18.948 8.7 18.218 8.7 C 16.509 8.7 15.729 8.849 14.192 9.123 C 13.137 10.434 12.132 11.892 11.216 13.48 C 9.136 17.083 7.85 20.743 7.358 23.973 L 7.161 25.83 C 7.155 25.932 7.15 26.033 7.146 26.134 C 6.988 29.879 8.054 32.531 10.004 33.657 C 11.955 34.783 14.784 34.38 17.949 32.371 C 19.537 31.363 21.152 29.98 22.694 28.283 C 21.526 28.424 21.178 28.501 19.94 28.501 C 19.538 28.501 19.139 28.492 18.743 28.476 C 18.149 27.91 17.558 27.291 16.979 26.622 C 17.937 26.722 18.926 26.779 19.94 26.779 C 21.798 26.779 22.714 26.6 24.365 26.279 C 25.248 25.126 26.093 23.87 26.872 22.52 C 29.065 18.721 30.371 14.859 30.799 11.505 L 30.95 9.623 C 31.052 6.006 29.991 3.445 28.083 2.343 Z M 17.872 30.69 C 17.544 30.929 17.219 31.156 16.893 31.362 C 16.72 31.472 16.548 31.576 16.378 31.675 C 13.961 29.545 11.648 26.714 9.724 23.381 C 9.534 23.051 9.349 22.719 9.171 22.388 C 9.374 21.616 9.618 20.827 9.904 20.027 C 10.299 20.857 10.736 21.69 11.216 22.52 C 13.159 25.885 15.494 28.673 17.872 30.69 Z M 28.978 13.726 C 28.776 14.505 28.532 15.301 28.246 16.109 C 27.835 15.234 27.378 14.355 26.872 13.48 C 24.97 10.186 22.693 7.444 20.367 5.439 C 20.656 5.232 20.943 5.035 21.23 4.853 C 21.446 4.716 21.659 4.587 21.869 4.466 C 24.228 6.58 26.482 9.36 28.364 12.619 C 28.576 12.987 28.781 13.356 28.978 13.726 Z M 17.527 3.371 C 14.533 1.588 11.868 1.267 10.004 2.343 C 8.054 3.469 6.989 6.121 7.146 9.866 C 7.22 11.624 7.566 13.567 8.182 15.598 C 8.642 14.604 9.154 13.607 9.724 12.619 C 10.307 11.61 10.927 10.648 11.573 9.737 L 13.256 7.551 C 14.618 5.922 16.061 4.514 17.527 3.371 Z M 26.957 25.626 C 26.717 25.987 25.773 27.25 25.331 27.836 C 23.825 29.726 22.207 31.345 20.56 32.629 C 23.555 34.412 26.22 34.733 28.083 33.657 C 30.034 32.531 31.1 29.879 30.942 26.134 C 30.869 24.376 30.521 22.433 29.904 20.402 C 29.445 21.396 28.933 22.393 28.363 23.381 C 27.915 24.157 27.444 24.906 26.957 25.626 Z" fill="rgb(255, 255, 255)" height="35.99998959033114px" id="o940Gf88C" transform="translate(7 8)" width="38.1579px"/></svg>)
Continuous Improvement Layer
Every decision feeds an insights engine that surfaces bottlenecks, root causes, and ROI from your ops strategy.
![](data:image/svg+xml,<svg display="block" role="presentation" viewBox="0 0 32 32" xmlns="http://www.w3.org/2000/svg"><path d="M 16 11 L 10 11 C 7.629 11 5.638 10.1 4.5 8 L 0 0" fill="transparent" height="11px" id="XQ1QiLV_c" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="10" stroke-width="1.4" stroke="rgb(255, 255, 255)" transform="translate(12 3.5)" width="16px"/><path d="M 11 4 L 4 4 C 2.961 4 1.9 3.8 1 2 L 0 0" fill="transparent" height="4px" id="k77C0jUMT" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="10" stroke-width="1.4" stroke="rgb(255, 255, 255)" transform="translate(4 10.5)" width="11px"/><path d="M 16 0 L 10 0 C 7.629 0 5.638 0.9 4.5 3 L 0 11" fill="transparent" height="11px" id="otCnazCMj" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="10" stroke-width="1.4" stroke="rgb(255, 255, 255)" transform="translate(12 17.5)" width="16px"/><path d="M 11 0 L 4 0 C 2.961 0 1.9 0.2 1 2 L 0 4" fill="transparent" height="4px" id="iJX71G3eE" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="10" stroke-width="1.4" stroke="rgb(255, 255, 255)" transform="translate(4 17.5)" width="11px"/></svg>)