BrainDocs – organize your life by concepts, not keywords

With BrainDocs you can take the results from BrainBrowser and organize your research by idea.  BrainDocs uses the ability of ai-one’s NathanApp technology to discern patterns in the words and associations that are central to the meaning of all or a portion of a text document (in the same way as the brain).  NathanApp extracts these keywords and associations, filtering out the noise to create a proprietary fingerprint array of the concept that can be used in many ways.

BrainDocs uses this fingerprint of a trained concept to find (rank) similar concepts within a corpus of information (documents, websites, databases) and returns paragraph-level results sorted by “similarity”. These results support a variety of workflows in enterprise compliance, eDiscovery, search and knowledge management.  Fingerprints are stored in a NoSQL database accessible with analytics and BI tools for additional value. This can be done by the analyst for small ad hoc studies.  Agents can also be used to code years of legacy data without additional training.

Analysts would use agents in BrainDocs to organize text around ideas or code survey responses, improving accuracy, consistency and saving substantial amounts of time in this tedious process. 

BrainDocs Architecture

BrainDocs Architecture v2

BrainDocs Data

BrainDocs Data Diagram v2

More Brains

  • BrainBrowser – enables users to analyze a document (or any piece of textual content) and “find something like this”
  • BrainView – create big brains from content or social media (think documents, user comments and review notes) to explore patterns and sentiment visually