The mechanic walks the aircraft with their phone — or AR glasses. TruVideo's system already knows this aircraft, its history, its last inspection findings. AI spots what's new, flags what's changed, and generates compliance-ready documentation automatically.
Guided video walkarounds with AI that knows the aircraft model, expected condition zones, and inspection checkpoints. Hands-free capture via Qualcomm Snapdragon Spaces AR glasses.
AI identifies corrosion, dents, cracks, lightning strike marks, and surface anomalies. Models trained on real MRO inspection data — not generic computer vision.
Build a visual timeline for every aircraft. Compare current condition against previous inspections. Prove when damage appeared and track repair effectiveness over time.
Auto-generated inspection reports with timestamped evidence, AI findings, and technician annotations. FAA/EASA-ready documentation that's verifiable and auditable.
Qualcomm Snapdragon Spaces XR glasses enable hands-free capture. Mechanics see AI overlays in real time — previous damage highlighted, inspection zones guided, conditions flagged.
API-first integration with MRO management platforms, CMMS, and ERP systems. Inspection data flows directly into maintenance planning and work order systems.
Aviation MRO is a $90B+ market where inspection quality directly impacts safety, compliance, and cost. Manual inspections miss things. AI-augmented visual intelligence catches what humans overlook — and creates the audit trail to prove it.
TruVideo's platform was built to analyze any physical asset on video. The same Capture → Analyze → Act pipeline that processes millions of vehicle inspections now handles aircraft walkarounds — with domain-specific models trained for aviation conditions.
We don't compete with MRO software vendors — we power them. White-label SDK integration means MRO platforms add visual intelligence to their existing workflows without building AI from scratch.