Quantify and predict infrastructure downtime from climate events to build a more resilient city.

For government agencies tasked with urban resilience, One Concern shifts the paradigm from reactive damage assessment to proactive downtime prediction. Instead of relying on broad-brush climate models that only assess direct property risk, the platform creates a digital twin of your jurisdiction's infrastructure—including power grids, transportation networks, and commercial properties. Its AI-powered models analyze how perils like floods, wind, and earthquakes cause cascading failures. The key output is a quantifiable "downtime" metric (1CDS™), measured in days or hours, for any given asset or area. This allows you to differentiate risk at a granular level; for example, you can see which critical facilities are most vulnerable not to direct damage, but to a power substation flooding miles away. Using their Domino™ platform or integrating DNA™ data into your existing GIS, you can prioritize infrastructure hardening, justify resilience budgets with concrete financial risk models, and develop more effective emergency response plans based on the most likely points of failure.