Imagine if you could price your products based on the actual climate risk. This is what you achieve with InzureFlood.
A unique database developed through two years of R&D collaboration with Fremtind Insurance. The InzureFlood AI model is built upon more than 250 parameters and trained on a vast database of flood damage data. The model is fully dynamic, with the ability to adopt changes in the landscape which are crucial to our risk understanding.
At 7Analytics we have extensive data processing capacity and a large database of proprietary data, and by hand, the data can be used for:
High resolution risk will enable competitive pricing of insurance and lending products ensuring sustainable client relationships and profitability.
Enterprise and credit risk
Granular assessment of flood risk for individual buildings allows enterprise risk management and bank’s credit functions to quantify physical climate risks on both client and portfolio levels.
Based on long-term risk, a financial institutions can engage with the loan and insurance takers to reduce risk, ensure business continuity, and maintain asset value.
Increasingly, regulatory reporting on sustainability requires banks and insurers to document physical climate risk and climate adaptation. 7Analytics’ solutions can provide a portfolio risk overview.