Assaia Secures $26.6M Series B To Expand AI-Driven Airport Operations

As air traffic exceeds pre-pandemic levels and airports face staffing challenges and tighter margins, the industry is increasingly turning to intelligent automation to boost resilience and efficiency.

Assaia’s platform leverages AI and computer vision to provide airports and airlines with full visibility and control over aircraft turnaround operations. Its solutions predict potential issues automate key processes, and optimize operational performance, contributing to safer, faster and more sustainable airport operations.

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CEO Christiaan Hen stated that the funding represents a significant milestone for Assaia, highlighting that airports and airlines are adopting AI at an accelerated pace to meet growing operational pressures.

With Armira’s backing, we are accelerating the rollout of new technologies and expanding our footprint to deliver measurable value in some of the world’s most complex airport environments.

Assaia’s technology designed to optimize aircraft turnaround through real-time visibility and automation across apron operations, is already in use at major international airports, including New York JFK, London Heathrow, Dubai International and Toronto Pearson. The platform helps reduce delays, improve on-time performance, and enhance gate utilization.

The new funding will enable Assaia to scale its AI platform globally and develop additional solutions to boost efficiency for airports, airlines, and ground handlers. Part of the capital will support the launch of the next-generation StandManager, an AI-powered planning module that optimizes gate and stand assignments before aircraft land, improving predictability and utilization in busy, high-traffic environments.

About Assaia

Founded in 2017 Assaia empowers airports and airlines with AI-driven solutions for predictive, responsive and automated aircraft turnaround operations. Its technology optimizes turnaround processes, helping airlines streamline operations and enabling airports to manage gate utilization more efficiently, ultimately improving on-time performance and overall operational efficiency.