New SaaS discovery platform from Content Analyst

Content Analyst has released Cerebrant, which the company describes as an SaaS-based discovery platform designed to enable subject matter experts in any industry to gain rapid insight into the ever-increasing amount of unstructured content they must analyze. Further, it says, Cerebrant enables users to quickly and effectively find the most relevant internal and external content and discover important, non-obvious relationships buried within massive collections of unstructured information.

Content Analyst adds Cerebrant is designed to enable subject matter experts to create an online workbench with large collections of content from disparate sources, and navigate and explore their content sets in a matter of hours. Users can identify and select disparate collections of public and premium unstructured content such as scientific research papers, industry reports, syndicated research, news, Wikipedia and other internal and external repositories.

The company explains Cerebrant is not dependent upon Boolean search strings, exhaustive taxonomies or word libraries because it relies on the company’s proprietary Latent Semantic Indexing (LSI)-based learning engine. Users simply take a selection of text ranging from a short phrase, sentence, paragraph or entire document and Cerebrant identifies and ranks the most conceptually related documents, articles and terms across the selected content sets ranging from tens of thousands to millions of text items.