Estimating risk for commercial real estate using award winning AI

Insurance companies process commercial real estate risk using traditional actuarial methods to predict frequency and severity of claims, which is then used for optimizing the pricing of the policy.


ZASTI’s AI models for Commercial real estate risk prediction, outperformed traditional state of the art manual processes of predicting claims frequency. ZASTI’s AI model was recognized as the best by CALM (Committee of Actuaries in Lloyd’s Market) at AI Applied Forum, Lloyds of London.

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