Our technology is geared towards discovering meaningful structure in data as it maps to individuals’ behavior. Rather than forcing an ad-hoc model on the data and applying that to the aggregate, our understanding of how people think about and learn from new information allows us to model an individual, find the surprising and meaningful connections between the things they do, and then apply that model to the world. Eliminating the human bias of predetermined “likes” makes way for an entirely new paradigm; one that truly enables us to accurately predict what a user will do next. What someone did and how they did it is interesting, but understanding “why” someone did something creates a wealth of new possibilities.

Augniscient is creating a new approach to predictive analytics. We focus on modeling the underlying cognitive processes that lead to users' online behaviors. Our approach is based on theoretical neuroscience research that allows us to learn what drives users to click, buy, and remain engaged and then make meaningful and surprising predictions about how to improve metrics in all of these areas. Rather than focusing on aggregate behavior, we can do targeting based on our models of individuals, effectively creating a market of one.