Unlike alternative solutions, Cerebrant is not dependent upon Boolean search strings, exhaustive taxonomies, or word libraries since it leverages the power of 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.
Cerebrant brings the power of the company's proven CAAT text analytics engine that's used to process billions of text items in the US Intelligence Community and dozens of eDiscovery software products.
Cerebrant delivers the power, security and time to benefits of cloud computing through a simple browser-based interface, requiring little or no IT support to implement and use across targeted large scale content repositories.
Cerebrant was created and will continue to evolve with the objective of delivering Rapid Insight into Big Content. By creating a suite of machine learning, text analytics, visualizations and search tools in a SaaS offering, users at any level throughout the organization can quickly find relevant results, discover new insights and share them as part of their daily activity. Contact us for more information or to request a demonstration.