CityBrain: The Infrastructure Impact Engine It is a reasoning platform that simulates urban failure. While maps show what is there, we show what happens next. It bridges PostGIS spatial accuracy with Neo4j graph intelligence to predict how road failures ripple through a city in real-time "hops." Core Features: Impact Propagation: Simulate closures and see network-wide consequences. Risk Scoring: Automatic safety alerts for hospitals and zones.
CityBrain started as a simple question: “What actually happens when a road fails in a city?”
Not just visually — but logically, spatially, and system-wide.
Most tools show maps. Some show data.
But cities aren’t static — they’re living graphs.
So I built CityBrain to think like a city.
It models roads, hospitals, zones, and construction as interconnected entities — and then simulates how disruptions *propagate*, how risks emerge, and how decisions impact real infrastructure.
What began as a map quickly evolved into:
→ A graph problem
→ A spatial intelligence system
→ And eventually, an AI-powered decision engine
It’s a “what-if machine” for cities.
Still early, still evolving — but excited to see where this goes.
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