Our technology predicts what goods and services a consumer would like to purchase...

We provide tightly focused, individually relevant product and service recommendations to users, in order to develop long term relationships and repeat customers.

...Utilizing advanced semantic analysis of online reviews...

We utilize advanced semantic analysis technology to evaluate hundreds of thousands of online reviews to understand the underlying reasons why individuals like or dislike specific items. Among other things, this allows us to inform our user what the crowd believes is important, and then by observing what he believes is important, we are able to develop a better understanding of his tastes.

....Combined with a next generation, multi-stage, self-learning, prediction engine which leverages social networking data and behavioral analysis...

By mining a user’s existing social networking data, we can analyze contextual clues and the user's real world behavior to provide a greater degree of personalization.

...And provides intelligent, unique recommendations to users on their mobile devices...

Our goal is to make predictions which surprise and delight users. Our system is continuously learning and improving its understanding of the user to provide deeper and more intelligent predictions. These predictions are shared on smartphones such as the Apple iPhone.


The Company:

Founded in 2008, theophilus, inc. is a development stage technology startup leveraging artificial intelligence, social networks, and contextual information to predict consumer preferences for goods and services. The company is funded by a combination of private and public investors, including the National Science Foundation (NSF).

The theophilus management team has a proven record of raising millions of dollars of funding from organizations such as the NSF and DARPA, as well as angel investors, and draws upon a breadth of experience ranging from leading multiple early stage profitable startups to investment banking and strategic consulting.