Use cases
This infographic outlines the three most common reasons to implement a predictive model into your underwriting workflow.
Case Study: The LifeScore Labs pilot
Crafting a pilot program helped this carrier uncover hidden opportunities in their data. It was a 'game changer.'
Developing LifeScore Med360
We go deep into data science and outline the underwriting challenges that inspired LifeScore Med360.
The models
Our suite of predictive models help to speed life underwriting, enhance the customer experience and drive decisions with data.
Understand the data set
The data matters. The larger the data set, the more accurate the predictive model results.
Sample score report
The sample Score Report is a transparent, explainable view into a predictive model's results.
Predictive analytics
Leveraging vast data sets to achieve more accurate and individualized assessments.