Disaster Risk Intelligence
Assess hazards, exposure and vulnerability using geospatial and socioeconomic data.
Learn more →We combine artificial intelligence, geospatial data and climate-finance modelling to help cities, institutions and communities understand risk and invest in resilience.
Practical intelligence systems that connect climate evidence with decisions about resilience, investment and finance.
Assess hazards, exposure and vulnerability using geospatial and socioeconomic data.
Learn more →Build explainable models that discover patterns, classify risk and support climate decisions.
Learn more →Translate risk and estimated losses into investment needs, adaptation priorities and finance intelligence.
Learn more →Help cities understand infrastructure, people and place-based vulnerability through integrated data.
Learn more →Our approach connects heterogeneous datasets with AI and explainable modelling so decision-makers can see not only what the model says, but why.
We explore models that connect hazard exposure and socioeconomic vulnerability to potential losses, adaptation needs and financing decisions.
Discuss a modelling project →Research and technology projects at the intersection of AI, cities, risk and climate finance.
An evolving decision-support environment connecting urban data, climate risk and explainable intelligence.
Exploring how explainable AI can reveal distributional dimensions of climate risk and inform loss and damage decisions.
Models and evidence frameworks for translating climate risk into investment and financing requirements.
How AI can make complex risk evidence more transparent and actionable.
Read insight →Connecting socioeconomic evidence, assets and hazards to climate-finance decisions.
Read insight →Bringing fragmented datasets together to support better decisions.
Read insight →We welcome research, technology, data and climate-finance collaborations.