xAIgent is incredibly adept at surfacing key terminology that often goes unseen by the human eye.

xAIgent consumes any subject domain text and turns that text into concise lists of bullet point Keyphrases. A process that has uncommon accuracy and contextual validity giving the Developer an uncommon advantage for elevating the findability of any subject matter content - objectively, unbiased, every time. All with automated precision.

The xAIgent’s unique, patented technology delivers precise content summaries from any subject domain automatically - without training - without human intervention.

Text, Email, HTML ... from any Text of any Subject domain, the xAIgent secure Webservice Automatically turns content of any subject matter into lists of Key Phrases along with their relative rankings including highlighted examples of how those key terms have been used specifically within the target document. In six international languages - xAIgent is ready to turn your content into gold.

Customize xAIgent for :

Content Tagging

Automated Topic Curation


Trend Analysis

Intelligent Search

Knowledge Management (KM)


Automated Content Tagging

Search optimization (SEO)

Information Retrieval (IR)



Advanced Pattern Detection

Semantic Web

Document Management

Large Language Model Optimization


A unique feature of the xAIgent technology is the ability to summarize content by showing how key phrases are used in context of a document allowing for accurate definition of terminology and use of the subject. Resulting summaries provide unparalleled levels of subject relevance. Analyzing collections of documents with contextual relevance is now possible in a matter of seconds.

In part, Contextual Accuracy is attained because xAIgent does not rely upon Bayesian or Heuristic (comparative list) approaches allowing for a purely objective understanding. The objectivity is driven by the underlying patented technology that understands the composition of human language and applies advanced linguistic AI to derive the key terms from any text regardless of subject domain.

Curate Metadata

Many researchers believe that metadata is essential to address the problems of document management. Metadata is meta-information about a document or set of documents. There are several standards for document metadata, including the Dublin Core Metadata Element Set (championed by the US Online Computer Library Center), the MARC (Machine-Readable Cataloging) format (maintained by the US Library of Congress), the GILS (Government Information Locator Service) standard (from the US Office of Social and Economic Data Analysis), and the CSDGM (Content Standards for Digital Geospatial Metadata) standard (from the US Federal content missing please add... ' Geographic Data Committee). All of these standards include a field for key phrases (although they have different names for this field).

Content and Document Management Systems

Content and Documents being added to a management system must be identified by the subject matter (key phrases) for accurate retrieval. Unless you're the author of that content / document how do you know what the content speaks to? Integrating xAIgent into a Content / Document Management System provides accurate, contextual and objective subject matter key terms which are invaluable for Cataloging, Indexing and for Retrieving the stored information accurately.

Many business rules direct that authors include Document Tags / Summary terms, which are used when adding the content into the system. What happens when the author has not provided the key terms? Or, what if the document was authored prior to the established business rules being in place? The same holds true in context of the Semantic Web and adhering to those structures and publishing guidelines. xAIgent becomes a critical tool in the publishing and retrieval of contextually accurate information.

Creating Document Highlights

When we skim a document, we scan for key phrases, to quickly determine the topic of the document. Highlighting is the practice of emphasizing key phrases and key passages (e.g., sentences or paragraphs) by underlining the key text, using a special font, or marking the key text with a special colour. The purpose of highlighting is to facilitate skimming. Automatic key phrase extraction can be used for highlighting and also to enable text-to-speech software to provide audio skimming capability.

Intelligent Search

Using a search engine is often an iterative process. The user enters a query, examines the resulting hit list, and modifies the query, then tries again. Most search engines do not have any special features that support the iterative aspect of searching. One approach to interactive query refinement is to take the user's query, fetch the first round of documents, extract key phrases from them, and then display the first round of documents to the user, along with suggested refinements to the first query, based on combinations of the first query with the extracted key phrases.

Research Optimization

Relevant information is critical for the success of any business and providing relevant information in the right context is what gives an organization an ultimate competitive advantage. Rather than working through traditional, time consuming, iterative research processes - engage the Text Mining power of xAIgent to empower information workers with relevant and meaningful results, quickly and accurately.

Research Studies Report

According to a study by IDC, knowledge workers spend an average of 2.5 hours per day searching for information, which adds up to 12.5 hours per week or more than one full workday. Another study by McKinsey found that employees spend up to 1.8 hours per day — or 9.3 hours per week — searching and gathering information.

Mitigate these huge financial impacts with xAIgent and make Knowledgeable Content Findable!