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AI-Driven Aircraft Inspection
AI-Powered Aircraft Inspection at Scale
INSPEX delivers defense-grade inspection intelligence with drone capture, real-time AI detection, and automated reporting for enterprise fleets.
INSPEX · LIVE SCAN
N-721AX
- 09:42:17 OK Nose radome — clear
- 09:42:18 OK Fuselage L panels 1–12 — clear
- 09:42:19 WARN Wing-R skin — corrosion 0.18mm
- 09:42:20 OK Rivets L7..L24 — within tol
- 09:42:21 HIGH Engine-L cowl — stress 0.42mm
- 09:42:22 CRIT Tail tip — fracture detected
- 09:42:23 OK Report v.1 — ready
Live Inspection Intelligence
AI telemetry aligned to your maintenance cadence.
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Aircraft Inspected
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AI Detections Made
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Inspection Hours Saved
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Detection Accuracy %
Service Modules
Each module is optimized for aerospace-grade diagnostics.
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AI
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AI Showcase
Simulated AI Scan Overlay
Visualize defects with precision callouts, confidence scoring, and severity tagging in real time.
NOSE
Clear 99%
WING-R
Corrosion 92%
ENG-L
Stress 0.42mm 87%
TAIL
Fracture 94%
FUS-R
Paint Peel 83%
Detection callouts mapped to aircraft regions
Confidence scoring with severity banding
3D damage coordinates for reporting
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Speed
Reduce inspection cycles from days to hours.
6× faster turnaround -
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Accuracy
AI-driven detection with verified confidence scores.
97% detection accuracy -
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Downtime Reduction
Plan maintenance windows with precision.
–38% unscheduled downtime -
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AI Reporting
Automated executive summaries and defect catalogs.
< 5m to first report -
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Aviation-Grade Workflow
Built for regulatory and maintenance compliance.
EASA aligned process
Industries Served
Tailored inspection intelligence for every fleet type.
Commercial
Wide-body and narrow-body fleets at scale.
Defense
Mission-critical inspection with secure workflows.
Cargo
High-cycle freighters and rapid turnarounds.
Private Jet
Bespoke inspection for VVIP and charter fleets.
MRO
Hangar integrations and shop-floor reporting.
Leasing
Asset condition reports for transitions and resale.
Leadership Team
Aerospace engineers, AI scientists, and flight ops veterans.
Chief Executive Officer
Mohammed Al-Rashidi
Chief Technology Officer
Al-Julanda
Lead AI Scientist
Al-Khatab
Drone Operations Lead
Saif Al-Saidi