The iQuest software suite enables users to discover hidden patterns and relationships within and across large sets of data. In the past, discovering patterns in unstructured data was extremely difficult. Our approach to pattern recognition and matching combines a propriety data ingestion process with natural language processing, grammatical network analysis and Social Network statistical algorithms, to create a highly accurate, very fast data analysis process that delivers superior results.

iQuest uses powerful knowledge network mapping and indexing software to analyze, measure and optimize internal and external information networks.

iQuest “Contextual Search” uses semantic analysis to automatically generates connections and interrelationships across enterprise data repositories. In enables you to leverage the index of your enterprise information without having to build and maintain knowledge models using controlled vocabularies, taxonomies and ontologies.

iQuest Intelligent Discovery™ uncovers thematic contextual links to content or raw information that's typically hidden or unknown, which results in actionable insights. Indexing content to better find information is core function of search and content management systems.

Because iQuest employs Smart Architecture™ there is no need to modify or add additional layers to the ECMS or existing index structures. This saves precious resources – people, time and money.

Want to join the conversation? Visit Patterns, the Blue Ant blog were we invite you to join our discussion of the relationships between and among people, ideas, thoughts and words. We welcome your contribution.