Unbiased (model free), real-time Machine Learning for time-series.
Takes customer data (evidence) and a set of customer hypotheses, to determine which hypothesis in the set is best supported by the evidence.
Implements scientific induction for non-equilibrium customer data (like emotions), that extends insights from the microscopic to the macroscopic (panel to population),
Provides analytical machine learning for ordering and classification. Special cases of analytical hypothesis testing.


