Airfield AI
Automated defect detection for airside infrastructure—powered by FusionMap.
Airfield AI transforms how runways are inspected by automatically identifying cracks, surface damage, and early signs of pavement distress using AI and high-resolution imagery. Safer, faster, and built for real-world operations.
Streamline Inspections and Reduce Disruptions
Forget clipboards and closures. With Airfield AI, crews can use drones or mounted cameras to scan runways without interrupting operations. Data uploads directly into FusionMap, where AI does the heavy lifting—pinpointing defects and centralizing all notes, photos, and measurements in one place.
Stay Ahead of Surface Deterioration
Airfield AI detects runway cracks and surface damage before they escalate—helping your team stay proactive, not reactive. Cracks are automatically identified and classified using high-resolution imagery, then visualized on an interactive map to track degradation over time and plan targeted repairs.
Quantify Damage, Prioritize Response
Airfield AI delivers more than detection—it gives you measurable insight. Each crack is sized, categorized, and mapped, so teams can prioritize based on severity and coverage. With built-in tools for measurement, tagging, and progress tracking, it’s easier than ever to act on what matters.
✈️ Ready to Modernize Your Runway Inspections?
Let’s talk about how Airfield AI can help your team detect defects earlier, inspect faster, and make smarter maintenance decisions across your airfield infrastructure.
- Detect cracks and surface issues with AI-powered precision
- Cut inspection time with drone data and automated analysis
- Visualize, track, and prioritize defects—right from your map