The deliverables of an Enterprise project will be customized to the users needs. Generally, this involves using machine learning to optimize the performance of an existing business process based on computing a Probability of Success for uncertain outcomes, using our cMDA algorithm to rank the important predictors, or using our CPO optimization algorithm to find the best operating parameters.

Although our patent pending CPO technique was initially developed for financial trading and portfolio optimization, it’s also useful in other industry verticals that require optimization, such as energy management, air traffic control, logistic scheduling, and more.