We turn complex data into actionable strategy. Utilizing an array of cutting edge machine learning, statistical modeling, and applied decision theory, our team delivers cutting edge artificial intelligence solutions for our clients. Solutions are designed that adapt to their environment and learn from their experience. Based on the research of Dr. Noah Silverman, our methods deliver real-world, measurable results that enable optimal insight and decision. By using Probabilisitic Programming, Hierarchical Bayesian Modeling, and other advanced methods we are able to embrace, integrate, and understand uncertainty at every level of the process. Probabilistic reasoning can then be utilized for decision making that fully quantifies and accounts for inherent system randomness.