RunwAI - Predictive AI for Air Traffic Safety

RunwAI transforms air traffic control from reactive problem-solving to predictive, real-time prevention. The FAA manages over 45,000 flights daily across increasingly congested airspace, while delays and cancellations have grown at nearly double the rate of flight volume - costing the aviation industry over $30B annually. RunwAI addresses this by combining multimodal AI with AMD GPU acceleration. The system fuses three live data sources: OpenSky Network for real-time flight positions and transponder data, METAR weather feeds for atmospheric conditions, and live video streams for visual runway and airspace monitoring. These inputs are processed through an AI pipeline running on AMD Instinct MI300X GPUs, leveraging ROCm 5.x with HIP-optimized kernels for efficient tensor operations across inference workloads. Core capabilities include: (1) Predictive congestion detection - identifies emerging conflicts before they escalate; (2) Weather-aware intelligence - continuously analyzes weather severity and its impact on routes; (3) Intelligent rerouting - generates optimized flight paths balancing safety, fuel efficiency, and airspace capacity; (4) Explainable decision support - delivers evidence-based recommendations with confidence metrics. Performance benchmarks: sub-4ms detection latency, under 2-second response latency, 35% improvement in conflict detection, and over 99% rules check accuracy - processing 10,000+ flight updates per second. The live dashboard provides an airspace map view, conflict alerts panel, and AI-powered rerouting suggestions for controllers in real time.