Aircraft maintenance records and asset management platform for aviation operators
flydocs operates a data-centric maintenance and asset management platform for airlines, lessors, and maintenance repair organizations (MROs). The stack reveals active AI investment—Python ML libraries (PyTorch, TensorFlow, scikit-learn), LangChain, and Azure OpenAI sit alongside document automation (UiPath, Playwright, Selenium)—reflecting heavy lifting around document AI and RAG-based question answering. Current projects center on automation (data validation, report generation, document scanning) and analytics standardization, while pain points cluster around manual workflows and compliance, suggesting the platform is transitioning from records repository toward intelligent workflow automation.
flydocs provides aircraft maintenance data management and asset lifecycle solutions to over 75 operators globally, including airlines, lessors, and MROs. Founded in 2007 and fully owned by Lufthansa Technik, the company operates from Birmingham and multiple international locations with over 300 employees. The platform addresses the aviation industry's need to extract operational and cost value from aircraft maintenance records and technical data. Core services span digital records management, aircraft transitions, end-of-lease support, and blockchain-based document verification. Recent work includes large-scale AMOS system implementations (aircraft maintenance operating systems) and development of analytics dashboards to standardize fleet-level data visibility.
Primary: Azure, Python, SQL, Angular, NestJS, Docker. Data/ML: Pandas, NumPy, PyTorch, TensorFlow, scikit-learn, LangChain, Azure OpenAI. Automation: UiPath, Selenium, Playwright. Analytics: Power BI. Testing: Postman, JMeter, k6.
Birmingham, United Kingdom. The company operates with over 300 employees across multiple global locations and actively hires in India and the UK.
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