01 / Contracted
Aerogility model-based AI for Wizz Air heavy base maintenance planning
Wizz Air · Aerogility
Technology supplier · Startup
Aerogility
Predictive MaintenanceData Analytics & AI Platforms
Aerogility, a London company, builds an AI digital twin for airline fleet and maintenance planning. Wizz Air selected it in February 2026 to plan heavy base maintenance.
Founded in 2009 with 11 to 50 staff, it represents aircraft, systems, procedures and staff as software agents, then uses them to automate heavy-maintenance planning and test cost, cash-flow and sustainability scenarios. It connects to maintenance systems including AMOS, SAP, Maintenix, TRAX and Skywise. Malcolm Bridgeford became chief executive in April 2025.
SAS, Rolls-Royce and Lockheed Martin are named as users by the company, without detail on each account. The savings it cites, such as 3 million pounds on a landing-gear spares pool and planning cut from weeks to 15 minutes, come from unnamed customers and are unverified.
Aviation AI deployments and updates
Products & Solutions
1 productAerogility AI Decision Support System
AI agent-based simulation and decision support platform for airline fleet and maintenance planning, enabling operators to model complex scheduling scenarios, evaluate maintenance trade-offs, and optimise fleet availability over short and long-term horizons.
The problem it addresses
Fleet and maintenance planning teams need to evaluate thousands of scheduling permutations across aircraft availability, MRO capacity, and commercial demand simultaneously. Conventional tools cannot model this complexity at the required planning frequency.
Key features
- AI agent-based simulation of fleet and maintenance scenarios
- Short, medium, and long-term planning horizon support
- MRO shop visit optimisation
- Fleet availability and readiness forecasting
1 more feature
- Lease return and asset management planning
Technical specifications (2)
- Agent-based modelling engine
- Cloud-deployed SaaS
Verified deployments
Wizz Air (W6) – Aerogility model-based AI for Wizz Air heavy base maintenance planning
Product documentationProfile data from the Aerostack companies register; deployment records from the verified register. Evidence grades: T1 first-party confirmation, T2 credible reporting. See Our approach for how records are graded.