📄️ Beyond the Transponder
A multi-agent architecture for the proactive prediction of flight disruptions — how Nexa moves from reactive telemetry to airline-centric, AI-driven anticipation.
📄️ How Nexa survives operational panic
A Tier-1 hub closure is the engineering problem Nexa is built around. When weather grounds a major airport for half a day, the airline's operations workbench fans tens of thousands of disrupted passengers across the platform in a window measured in single-digit minutes. Twenty airport agents open the same flight manifest simultaneously. Every passenger reaches for their phone. External partners — global distribution systems, payment providers, notification gateways — don't lift their published rate limits just because a customer is having a bad day.
📄️ How Nexa stays available
Disruption events are not a good time for the platform that handles disruption events to have a bad day. A Tier-1 hub closure compresses tens of thousands of stranded passengers and dozens of operators into a window measured in single-digit minutes — at exactly the same moment the underlying internet, partner APIs, and cloud infrastructure are most likely to be under stress themselves. Nexa is engineered against the assumption that something in the stack will be broken on any given day, and that the platform must keep serving anyway.
📄️ Inside the Flight Predictor
How Nexa's flight-disruption predictor works — the multi-agent signal layer, the dual-head model, the deterministic fallback, and the operational guarantees.