Every time an aircraft lands, its wings undergo significant bending and structural stress; yet airlines cannot measure the exact load placed on the wings in real time. Because this critical data is unknown, maintenance teams rely on averages, assumptions, and scheduled checks, not true aircraft conditions. This leads to unexpected repairs, unplanned downtime, costly delays, and preventable safety risks that affect both airlines and passengers.
The Hidden Problem in Aviation
About the Product
AeroDeflect is a runway-based AI monitoring system that predicts aircraft wing fatigue and landing stress before problems occur, completely non-invasive to the plane. Our system combines LiDAR, high-speed cameras, and motion sensors installed on runways to capture precise data on wing deflection, impact forces, and environmental conditions for every landing and takeoff.
We partner directly with airports to install the system on runways, while airlines subscribe to access the data through a secure cloud-based dashboard. Our AI algorithms analyze the runway data to calculate cumulative damage, bending stress, and fatigue life, generating a Damage Index for each aircraft. This allows airlines to optimize maintenance schedules, reduce unplanned downtime, and extend aircraft lifespan, all without modifying their fleets.
With AeroDeflect, airports gain advanced safety monitoring technology, and airlines gain real-time predictive insights; turning every landing into actionable intelligence for safer, more efficient operations.