Intelligenx was founded to address a real-world challenge: How should end-users be enabled to quickly and easily find information, in real time, when they rarely know how to describe exactly what they are searching for? Intelligenx technologists, familiar with the limitations of best-of-breed technologies, including free-text search engines, relational database management systems (RDBMS), and online analytical processing (OLAP), set out to create a new paradigm for search, discovery, and retrieval of information from the huge, multiple databases. While older, conventional technologies serve their purposes well, the assumptions underlying their information- retrieval objectives have changed. Two users who enter the same query into a search engine may be looking for different results, depending on the different semantic interpretations of the query. Ordering search results by popularity will satisfy some people, but relevance varies from user to user. And certainly in the many commercial and government enterprises where all content is valuable, returning a list of millions of documents renders the majority of the documents "invisible." Users generally are not familiar with the underlying structure of the vast and continuously increasing dataset of interest. They also do not know how to interact with the data, including what appropriate questions to ask about the data. To solve this problem, Intelligenx designed our products around several principles to ensure that users are able to search, discover, and retrieve the information they are looking for: | 
