DataRobot can do claim frequency, severity, and pure premium (loss cost) modeling, helping to avoid being adversely selected against.
With DataRobot's wealth of algorithms, you can be confident in the prices you charge. By automating the process of building and comparing models that explore cost versus risk, you can determine whether any risk you consider taking on is priced appropriately. This competitive advantage pushes adverse selection on to competitors, which, over time will increase your growth and profitability.
Accuracy in pricing models can save an insurance company a significant amount of money. DataRobot automatically builds models from a wide class of algorithms—from Generalized Linear Models to Random Forests to Deep Learning—assuring that the final model is the best model.
"DataRobot had significantly reduced time spent on creating and tuning predictive models. I've been able to become far more productive and get models into service more quickly than ever before."
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