Terrafuse AI Description
Climate change has caused extreme wildfire conditions to rise by 50% in recent years, resulting in $31B in property damage. Insurance companies have been reluctant to insure California homes and businesses, drastically reducing their revenue. Terrafuse's wildfire AI risk scores predict the likelihood that any property will burn one year in advance. Insurance companies can use our wildfire risk product to underwrite more businesses, reduce non-renewals to only properties with high burn probabilities, and also price business in a way that is proportional to actual risk. Our models are trained to recognize the interdependencies among 50+ environmental conditions (e.g. We train our models to learn the interdependencies between 50+ environmental conditions (e.g., building density, dead fuel moisture and vegetation) and the severity of loss over time. Advanced machine learning techniques are used to embed the physics and atmosphere in our models.