nDex is composed of over 150 different genetic algorithms. No one algorithm can solve every problem. In fact, nDex votes on which is the best algorithm to use with each new data set.
The most sophisticated machine learning platform for insurance
TRUE MACHINE LEARNING
The first step is to train the model where nDex analyzes and extracts patterns from data.
Now that the algorithm is trained, it can understand the data patterns necessary to predict outcomes.
To grow more accurate, nDex needs feedback to further train itself on in-market results resulting in greater lift.
EXAMPLES OF PREDICTIVE POWER
Here are some examples of the behavioral and health data we’ve seen identified to predict financial outcomes:
Wine collectors claim less against their homes
Healthy sleepers refinance their mortgages more frequently
Medical outcomes drive debt accumulation
Certain categories indicate impending life events