Empowering pilots with transparent, trustworthy AI assistance during critical flight emergencies
Discover Our SolutionAdvanced AI can save aircraft in crisis, but regulators demand transparency
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Illustration of distressed aircraft with AI warning symbols and pilot confusion indicators
Deep Reinforcement Learning can calculate thousands of recovery trajectories in milliseconds, potentially saving crippled aircraft. But there's a critical problem:
It's a "black box." The AI cannot explain why it chose one maneuver over another. Aviation regulators like EASA and FAA will not approve AI systems that cannot justify their decisions, especially in life-or-death scenarios.
AI as an Emergency Triage Manager, not an autopilot replacement
AI evaluates thousands of potential recovery paths in milliseconds, using Deep Reinforcement Learning trained on aerospace physics simulations.
Our proprietary XRL system scores each trajectory based on ground risk vs. aircraft survivability, providing human-readable justifications for every option.
Presents top 3 options to the pilot with clear rationale, keeping humans in command while leveraging AI computational power.
Live 3D visualization of aircraft state, recommended trajectories, and ethical scoring—all displayed through an intuitive web-based MVP.
PPO/SAC agents trained in high-fidelity flight dynamics environments
Fixed-wing physics modeling with mechanical failure scenarios (aileron loss, turbulence)
React/Node.js MVP with real-time 3D trajectory visualization
Proprietary scoring algorithms that translate AI decisions into regulatory-compliant explanations
No expensive hardware bottlenecks—scalable and demo-ready for Round 2
Designed with EASA/FAA ethical AI frameworks in mind from day one
Every AI recommendation comes with human-readable justification, meeting regulatory requirements
AI evaluates thousands of trajectories per second, far beyond human cognitive capacity
Pilot receives top 3 options ranked by survivability and ground safety—final decision remains human
Join us in bringing trustworthy, explainable AI to the cockpit—where it matters most.
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