Flight-Critical Quality for Every Part

Predictive maintenance in aerospace uses AI models to analyze vibration signatures, thermal patterns, and operational data from CNC machines, autoclaves, and robotic systems. By detecting early indicators of bearing wear, tool degradation, and seal failures, the system predicts equipment issues days in advance — allowing maintenance to be scheduled during planned windows without disrupting production of flight-critical components.

AI assists NDT by analyzing ultrasonic C-scans, radiographic images, and thermographic data to flag potential indications for inspector review. The AI pre-screens large volumes of inspection data with consistent criteria, reducing interpretation time by up to 50% and improving detection consistency across inspectors — while keeping certified NDT personnel in the final disposition loop as required by NAS 410.

AI-powered FOD (Foreign Object Debris) detection uses high-resolution cameras and structured light to scan aircraft cavities, fuel tanks, and structural bays for tools, fasteners, wire clippings, and debris left during assembly. The system maintains digital FOD logs and verifies area clearance before structural close-out — preventing FOD-related safety hazards that are extremely costly to address once aircraft sections are sealed.

Vision AI monitors composite layup in real time by analyzing ply orientation, overlap dimensions, gap widths, and surface quality during the manual or automated layup process. Defects such as wrinkles, bridging, and fiber misalignment are caught before autoclave cure — when correction is still possible. This prevents scrapping expensive carbon fiber structures that can cost tens of thousands of dollars per part.

AccelVeo supports AS9100 compliance by capturing inspection and process data throughout manufacturing and linking it to part serial numbers, work orders, and engineering configurations. The platform generates audit-ready documentation for product realization, monitoring, and measurement — including first-article inspection records, in-process inspection data, and full digital thread traceability from raw material to finished part.