(predictive) Models are learned from the historical data. This learning is not trivial nor an exact science. The historical data need to be explored to discover the underlying distributions in it. Assuming wrong statistical distribution leads to using wrong parameters and hence garbage-in-garbage-out.
We master the art of exploratory data analysis and use combination of distributions which truly represent your data and then learn models using state-of-the art as well as our proprietary methods which yield minimum false positives.
Model building is free of cost, we need only your desensitized data, and business understanding to generate efficient and accurate models in the cloud. Our very economical pricing starts once you are satisfied with the model (have tested it for some time and are ok with false positive rate)