This solution brief focuses on AI-driven predictive maintenance specifically for aircraft fleets. Using multi-spectral computer vision and AI, the solution detects corrosion, paint degradation, blade deterioration, rivet rash, and other anomalies across composite and non-composite aircraft materials. By analyzing tip-to-tail image and video data, organizations can identify faults earlier than manual inspection, reduce maintenance downtime, and improve aircraft availability. Key benefits include reduced manual inspection effort, lower maintenance costs, increased time-in-air, and prevention of costly disruptions. Designed for high-security environments, the solution supports continuous learning, edge deployment, and compliance with strict aviation and government standards.

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