Emergency response is one of the few domains where a delay of even a few minutes can change outcomes dramatically. We were inspired by a practical gap: many dispatch systems still rely on static routing and manual judgment under pressure, especially when multiple incidents happen at once. We wanted to build a system that combines real-time operations, historical context, and explainable AI reasoning so dispatchers can make better decisions quickly.

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