Augment Your Organization’s Intelligence
Everyone in your firm is a knowledge worker in today’s exponential workplace. You need A.I. tools that enable the integration of contextual analysis into workflows, BI dashboards and reports, without a degree in A.I. Built with a human-centric A.I. vision, we’ve scaled up our BrainDocs application, putting it in the cloud, improving API access, incorporating integration with big data, small data, MS Excel and your favorite BI tools like Tableau. Now anyone search, find, analyze and visualize the ideas hidden in documents and databases to drive continuous learning.
ai-one’s BrainDocsICE agents are being used to augment productivity in search, research, marketing research, knowledge management, strategic planning, compliance and portfolio analytics. Agent collections are available for competitive analysis, aerospace, finance and manufacturing quality reporting.
Private cloud and on-premise BrainDocsICE solutions are available for research, classification and knowledge management applications.
BrainDocsICE – Intelligent Classification Engine
Problem: You are looking for something, a brilliant idea that needs supporting research before you can present it, but it could be worded in a variety of ways and is buried among thousands of pages on your server. Although you may know a few keywords, or tags, to help search for documents; you still end up reading through hundreds of irrelevant documents trying locate that needle in the haystack. You need your own AI, your own agent to do this for you.
Solution: Absolutely state of the art, all of the agents in BrainDocs are based on the NathanICE API, ai-one’s core technology for language applications. Nathan is a new form of biologically inspired neural computing that processes information in the same way as the brain. Unlike other approaches, our API enables machines to learn with or without human supervision. Our technology automatically generates a lightweight ontology that detects all relationships among data elements. Learning occurs at the time data is ingested — so it is very fast compared to other approaches.
BrainDocsICE leverages this core technology using both static and dynamic fingerprint techniques to deliver a set of tools for the analyst working with free text or unstructured data to classify, organize, filter, search and explore in ways not possible with keyword search, natural language processing (NLP), Latent Semantic Indexing (LSI) or other statistical/mathematical tools. Furthermore, the extraction of concepts expressed in documents into a fingerprint graph enables experts with programs such as SPSS, R and Tableau to include unstructured data in their analytics and visualizations.
The “intelligent agents” that are deployed by BrainDocs are trained by you and the list of relevant results are returned in your ranked order to review and mark as relevant or not relevant. This process saves hours of review time – a tremendous value proposition to analysts confronted with ever increasing quantities of information.