Wizz Air has announced a strategic partnership with Aerogility, a leading provider of AI-driven digital twin technology, to strengthen its long-term heavy base maintenance planning as the airline gears up for major fleet growth.
As the Budapest-based low-cost carrier prepares to double its current fleet of over 200 aircraft within five years, the integration of Aerogility’s model-based artificial intelligence will enable more agile and intelligent maintenance scheduling. The technology will allow Wizz Air to not only optimise maintenance for its existing fleet but also forecast needs for aircraft yet to enter service, providing a critical edge in planning efficiency.
Under the agreement, Aerogility will develop a comprehensive digital twin of Wizz Air’s entire maintenance ecosystem. This virtual model will deliver highly accurate, predictive maintenance forecasts by factoring in aircraft usage, operational limitations, and resource availability. These insights will feed directly into Wizz Air’s current AMOS platform, enabling precision scheduling of major maintenance operations such as C-checks, D-checks, and engine servicing.
“The scale of our expansion demands a new level of sophistication in maintenance planning,” said Adrian Lecea, Long Term Planning Manager at Wizz Air. “Aerogility equips us with not only real-time insight into our existing operations but also the foresight to plan a decade ahead. With this AI-driven platform, we can simulate various maintenance scenarios and make well-informed, strategic decisions.”
This forward-looking approach aims to significantly reduce maintenance downtime and operational costs, while ensuring peak aircraft availability and reliability — a key factor as Wizz Air positions itself to meet growing passenger demand across Europe and beyond.
The partnership marks a major step in Wizz Air’s digital transformation strategy, reinforcing its commitment to safety, sustainability, and operational excellence. By leveraging advanced AI capabilities, the airline is poised to maintain high service standards while effectively managing the complexities of fleet expansion and maintenance operations.
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