Empirical Foresights has cumulated libraries of configurable algorithms & models cataloged according to functions, keywords, entities & events. These are accessed using intelligent interface that performs context mapping. We use underlying mechanisms as our unit of analyses and for generating suggestions.
We have also built tools that can be used to generate empirical models for different purposes by elaborating systems, agents, actions, interactions & events. Our models have dynamic & temporal components with relationship mechanisms & response behaviours playing key parts.

Our machine learning processes enable creation of new algorithms for specified objectives, success costs & tolerance ranges for other parameters.