There is a truism in law enforcement that criminals lie, relationship are disguised, and things change. This reality makes it all the more difficult and costly to identify relevant information, apply proper reasoning and find meaningful patterns in intelligence data. In many cases, detectives and intelligence analysts are limited in their ability to effectively use intelligence data because of the lack of direct observation over suspects, activities and situations. To compound the problem, profiles or activity patterns are often incomplete or change as investigations proceed.


Manually pulling together multiple sources and then sifting through the potentially massive amounts of data related to a case or incident is extremely inefficient and impractical. Finding relationships between seemingly unrelated data sets is cumbersome and sometimes impossible because of the limitations of existing relational database technology.

Analysts can narrow the scope of an investigation by using the Cogito Knowledge Center to quickly find relationships between suspects, activities, locations and events, culling irrelevant data and focusing on a core subset of relevant intelligence information. Cogito solutions enable pattern matching and relationship identification of suspicious activities, even if the patterns being sought are incomplete or have errors. Even deeply buried relationships can be discovered through N-degree searches and partial pattern matching.

With the Cogito Knowledge Center, analysts can quickly determine comprehensive relevance, including organizational structure, subgroups, associations, roles and leadership. This information can then be used for further investigation of potential suspects.