nDex

The most sophisticated machine learning platform for insurance

TRUE MACHINE LEARNING

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.

TRAIN
The first step is to train the model where nDex analyzes and extracts patterns from data.
PREDICT
Now that the algorithm is trained, it can understand the data patterns necessary to predict outcomes.
REPEAT
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:

ALCOHOL
Wine collectors claim less against their homes
SLEEP
Healthy sleepers refinance their mortgages more frequently
DISEASE
Medical outcomes drive debt accumulation
SPENDING
Certain categories indicate impending life events
nDex + Alternative Data = Maximum Lift