The extreme instability of climate, linked to rising intensity and frequency of impactful events, makes historical data and statistics from current models inadequate for future claims projections.
Eoliann leverages satellite data and in-house machine learning algorithms to improve the estimation of the probability and impact of natural disasters, integrating big data, advanced analytics and predictive modeling.
Over the past 50 years, extreme weather events have increased by 345% due to urbanization and climate change. As climate events increase, the damages generated by those events become increasingly volatile, making prediction extremely difficult:
Insurance companies’ underestimation of the economic impacts of natural events in 2021 (from the S&P report)
We’re developing risk prediction models that are effective in capturing and testing climate-related risks, to help insurance companies with pricing and underwriting decisions to mitigate the impact of extreme weather events over the long term.
With the huge potential of our algorithms, insurance industry can:
Our API helps decision makers manage financial, economic and social impact of natural catastrophes, with satellite data and cutting-edge proprietary ML algorithms.
Get in touch and learn how climate data from satellites can be used in new risk modeling and enhance insurance response to climate change:
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