Climate AI for Cities

Executive Summary

As cities confront intensifying climate risks, AI is increasingly explored as a tool for mitigation, adaptation, and energy access — yet credible, deployable applications remain relatively few, pointing to a gap between AI’s potential for urban climate action and its use in practice.

This dashboard catalogs that emerging landscape: a database of Climate AI solutions for cities, each assessed across technology readiness, scale, open-source availability, and institutional feasibility. More than half of the solutions tracked here are still in the pilot or early-adoption phase, and what works in one city may not transfer easily to another — feasibility depends as much on a city’s institutional capacity and data readiness as on the technology itself. Explore, filter, and compare solutions below to find what fits your city’s climate goals.

Adapted from the Executive Summary of Climate AI for Cities: Solutions for Mitigation, Adaptation, and Energy Access (Data-Driven EnviroLab, May 2026).