Inside the AI Systems Powering Next-Gen Airports

By Mwikisa Kanguya

The way air travel hubs handle security, efficiency, and passenger experience is being completely transformed by the incorporation of artificial intelligence (AI) into airport operations. Real-time surveillance, predictive maintenance, crowd management, and quick incident response are all made possible by AI-powered monitoring systems, which greatly improve operational flow and safety. Through advanced technology like facial recognition, machine learning algorithms, and data analytics, smart airports can detect abnormalities, optimize resource allocation, and assure smoother passenger circulation. In addition to strengthening security procedures, this intelligent infrastructure lowers operational delays and human error, opening the door for safer, more effective, and future-ready airports.

Importance of Real-Time Monitoring and Safety

In busy places like airports, where quick decisions can avert security lapses, operational interruptions, and safety risks, real-time monitoring and safety are essential. Continuous, real-time data collection makes it possible to identify odd activity, malfunctioning equipment, or crowding right away, allowing for quick risk-reduction measures. Airport staff have better situational awareness thanks to real-time technology, which guarantees prompt action in the case of an emergency or suspicious activity. Additionally, by spotting trends and possible dangers before they become more serious, they aid predictive safety measures. In the end, real-time monitoring protects airport operations and infrastructure while guaranteeing travelers a safe, effective, and flawless journey.

Innovative Startups Leading Real-Time Monitoring and Safety

EMMA Systems

Founded by Wisam Costandi, EMMA Systems develops an AI-driven, SaaS-based platform designed to enhance coordination across airport operations. By integrating data from multiple stakeholders—including airlines, airports, and ground services—the platform provides a real-time and predictive overview of operational performance. EMMA facilitates informed decision-making, improved schedule adherence, and reduced delays through a unified digital environment. Its architecture supports legacy system integration, enabling streamlined information sharing and sustainability tracking while aligning with international collaborative decision-making standards like A-CDM.

Assaia

Assaia is a Swiss company co-founded by Max M. Diez that leverages AI and computer vision to provide real-time visibility into airport turnaround operations. Its technology enables the continuous monitoring and analysis of apron activity, offering data-driven insights that enhance operational efficiency, safety, and sustainability. By tracking aircraft turnarounds and associated processes, Assaia supports informed decision-making and coordination among airlines, airports, and ground handlers. The platform contributes to measurable reductions in delays, unsafe behavior, and emissions and integrates with A-CDM practices to improve overall performance in complex airport environments.

Airport AI

Airport AI is a company co-founded by Pierre C that provides an automated customer service platform designed specifically for airports, leveraging artificial intelligence to enhance the efficiency of passenger support. The system integrates with multiple communication channels to streamline information delivery and reduce the demand on human agents. By automating common inquiries and offering real-time assistance, it supports operational scalability while improving responsiveness.

Get innovation insights from The FutureList weekly. Subscribe to our newsletter here