About Applied Relevance

Applied Relevance produces software and services to help enterprise users find the information they need. Our solutions augment traditional search engines by providing context for the search results. The AR toolset and our partners provide cost effective technology for the full spectrum of enterprise content management and search applications.
With our tools, a search term and a few clicks, users can zero-in past ambiguities and come up with the right answer in the right context.

Applied Relevance is located on the west coast of the east coast of North America.

About Applied Relevance

Applied Relevance was founded in 2006 as a professional services firm focussed on enterprise search. We built a good practice helping customers migrate from Verity K2 based systems to Autonomy IDOL systems that replaced it. After about 2 years as an independent company servicing mostly Autonomy clients, AR was offered a contract with the International Monetary Fund (IMF) to help implement the Knowledge Exchange – a search based portal to help Fund staff find the information they needed to provide technical assistance to their 187 member countries.

The result of this project is the AR·Semantics software.

Along the way, AR met up with WAND, Inc. which produces curated foundation taxonomies for all products, all services and all industries. WAND and AR developed a partnership to market DataFacet, a jointly developed product that provides foundation taxonomies from WAND and the taxonomy management software from AR in one comprehensive product. DataFacet is our flagship product running on the SharePoint 2010 and Oracle WebCenter platforms.
In addition to DataFacet, AR produces and markets AR·Semantics software which enhances specialized enterprise search applications such as MarkLogic Server, Exalead CloudView, Apache Solr and Coveo Enterprise Search.

The goal of all of these products is to provide taxonomy management and rule-based tagging for enterprise unstructured content. Well, that’s not entirely true. The goal of these products is to help end users find the information they need to do their jobs. AR·Semantics and DataFacet software provides the means to do that.

Mr. Everitt took the expertise earned from these implementations to found Applied Relevance in 2006.  The result are the Applied Relevance taxonomy tools.  Applied Relevance tools integrate with existing knowledge management, enterprise search and content management platforms to provide the functionality he wishes he had on all of these engagements. His background includes professional

services engagements for major international organizations with global impact in the Technical Publishing, Enterprise Content Management, Enterprise Search and Computational Linguistics fields.

Some career highlights include:

Implementing a taxonomy of chemical, biological and missile weapons and agents for a multi-lateral non-governmental organization.
Implementing a taxonomy for law enforcement and security for a governmental agency in Canada.
Implementing a taxonomy for legal proceedings designed to ferret out possible opportunities and dangers in SEC filings.
Implementing a faceted search and taxonomy for organizing the commercial archives of an iconic U.S. company.
Implementing a taxonomy and search interface for a technical support engineers at a major telecommunications firm.
Implementing a stand-alone field service application for computer service engineers for a major Japanese technology firm.
Designing an enterprise search application to archive and classify millions of e-mail messages per month.
Designing and Building AR Semantic software for the International Monetary Fund