Assaia raises $26.6M Series B to boost AI for airport operations

Assaia, the Zurich-based aviation technology
company, has raised $26.6 million in an oversubscribed Series B funding round
led by Armira Growth, alongside existing investors.

As air traffic
volumes surpass pre-pandemic levels and airports face staffing constraints and
tighter operational margins, the industry is increasingly prioritising
intelligent automation to strengthen resilience and improve efficiency.

Assaia’s AI platform
supports this shift by reducing turnaround times and enabling more effective
planning across airside operations.

Assaia uses
artificial intelligence and computer vision to give airports and airlines full
visibility and control over aircraft turnaround operations. Its solutions help
predict issues, automate key processes, and enhance operational performance,
contributing to safer, faster and more sustainable airport environments.

Christiaan Hen, CEO
of Assaia, said the funding marks an important new stage for the company,
noting that airports and airlines are turning to AI more than ever to address
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 optimise the aircraft turnaround process through real-time
visibility and automation across apron operations, is already deployed at major
international hubs including New York JFK, London Heathrow, Dubai
International, and Toronto Pearson. At these airports, it supports reduced
delays, improved on-time performance and better gate utilisation.

The new capital will
allow Assaia to scale its AI platform globally and launch additional solutions
aimed at improving efficiency for airports, airlines and ground handlers.

A portion of the
funding will support the rollout of the next-generation StandManager, a
planning module that uses AI to optimise gate and stand assignments before
aircraft land, enhancing predictability and gate utilisation in congested and
high-volume environments.