Better Airport
Better Airport is a cloud-native SaaS platform designed to unify planning, analysis, and operations across airport functions, connecting formerly siloed processes such as check-in, baggage, security, stand/gate, and immigration. Built around the concept of “Connected Operations,” it provides a single source of truth for operational forecasting, resource optimization, and real-time decision-making by linking outcomes across passenger, baggage, and aircraft flows. It is modular, comprising nine core modules that airports can deploy incrementally (e.g., forecasting, check-in, security, virtual queuing, stand & gate) and scale up as needs grow. By integrating with existing systems, including AODB and other operational back-ends, it allows airports of all sizes to operate more efficiently and make data-driven decisions to reduce wait times, optimize staffing/equipment allocation, and enhance the passenger experience from curb to gate.
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SKYport
The SKYport Suite is a modular, web-based airport management platform that centralizes flight operations, ground handling, cargo processing, and billing in a single system. It provides real-time flight data through its integrated AODB, ensuring accurate and up-to-date information across all departments. Airports can manage seasonal schedules, daily operations, resources, and user permissions with streamlined digital workflows. With flexible deployment options—on-premises, hosted, or SaaS—the suite adapts to airports of any size and IT strategy. Its licensing model offers investment protection with billing based on traffic volumes rather than user limits. Built on a unified technology platform, the SKYport Suite helps airports automate processes, reduce manual work, and elevate service quality.
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GroundStar
GroundStar, the Airport Resource Management solution by INFORM Software, is designed to optimize the allocation and usage of fixed airport infrastructure such as stands, gates, baggage belts, and check-in counters. It enables airports to efficiently plan short-, medium-, and long-term capacity by applying built-in optimization algorithms that consider business rules, stand and gate preferences, and infrastructure constraints. It supports sophisticated what-if scenario modelling and real-time decision support, allowing resource managers to respond quickly to deviations or disruptions. By leveraging machine-learning-driven analytics and historical data, the software predicts resource utilization and helps minimize bottlenecks, enabling smarter allocation of resources on the day of operation and improving punctuality and passenger/airline satisfaction.
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Assaia
Assaia delivers an AI- and computer-vision-powered solution built for airports, airlines, and ground-handlers to gain real-time visibility and predictive control of turnaround and apron operations. It ingests live video feeds from existing stand-cameras and other sensors, converts them into structured event data, and applies machine-learning models to compute key metrics such as predicted off-block time, predicted ready-for-departure time, and alert conditions for service tasks. Benefits include improved on-time performance, reduced ground delays, higher gate and stand utilization, fewer safety incidents, and lower fuel/taxi time. It supports dashboards with live turn tracking (watchlists), alert logic tied to airlines’ business rules (for tasks like cleaning, pushback, baggage loading), mobile alerting, API/data-export capabilities, and exception-management workflows.
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