What We Do

… and Why We Are Successful

 Company Overview   Meet some of Our Team   Our History 

What We Do

Concept Searching is a technology software developer. We formed in 2002, and continue our unwavering focus, adding capabilities to our technologies that continue to evolve, solving the business challenges of today. Fifteen years ago, our software was revolutionary, having  the ability to automatically generate metadata that consisted of multi-word terms, or concepts, auto-classifying content, and providing taxonomy tools for business-matter experts. Our ability to generate compound term metadata, still to this day, remains unique in the marketplace.

Our clients can deploy one technology that solves a multitude of challenges. For information technology professionals, the technologies are easily installed and rapidly deployed, are highly scalable, and offer superior performance. For business professionals, concept-based searching is a reality, the accuracy and relevancy of information retrieved is unparalleled, and the ability to deliver intelligent content in context becomes the norm, not an anomaly.

  • The Concept Searching Difference

  • metadata

    Automatic generation of compound term metadata, auto-classification, and taxonomy tools

    taxonomy

    Solve or mitigate any application challenge that requires the use of metadata

    knowledge-expertise-training

    Integrate natively with the SharePoint Term Store, and synchronize bilaterally in real time

  • Concept Searching

    Solutions

    Beginning with our initial search product, conceptSearch, our portfolio of solutions deployed by clients successfully addresses challenges in  records management, data privacy, sensitive information protection, intelligent migration, compliance, secure collaboration, content optimization, eDiscovery, FOIA, mergers and acquisitions, search and information transparency, research and knowledge management, and text mining and analysis.

    Although the majority of our clients purchase the software to improve search as a priority, they will typically deploy one or more of the solutions to address current business challenges. Without requiring help from an information technology team, business specialists can manage and maintain the easy-to-use taxonomies, leveraging their understanding of business processes and terminology. conceptTaxonomyWorkflow, an optional component and also designed for business professionals, enables workflows to be written, tested, deployed in a matter of minutes, and easily used in applications such as records management, security, migration, or content optimization.

    • Generate consistent, high-value, multi-term metadata from concepts found within content
    • Utilize intelligent content in context, a delivery mechanism that encompass cloud, on-premises, and hybrid environments, consistently providing highly relevant information retrieval results, based on end user queries
    • Define your own rules for sensitive information, consisting of descriptors and multi-word terms, to identify data privacy and sensitive breaches and exposures in real time
    • Improve eDiscovery, litigation support, and FOIA through the identification of relevant content, regardless of the style of search, the type of content, or the search terms used
    • Provide content optimization to align business content, remove duplicates, identify content of no value for deletion, and categorize content that needs to be archived
    • Intelligently migrate content, through value assessments on the data found within documents, both before and after migration, creating a comprehensive content management hierarchy that provides a holistic view of information, regardless of where it resides, to make content available for reuse by any solution application
    • Facilitate records management, by automatically adding descriptors and multi-term data to content, eliminating end user tagging, and processing in-place or automatically routing it to the records management repository
    • Enable semantic search, integrated with any search engine
    • Implement secure collaboration, and share information at the context level of a document, with internal and external stakeholders
    • Eliminate content noise, and reduce the data set for text analytics, which can be manipulated by any analysis tool, including artificial intelligence
    • Use the solutions as tools to reduce merger or acquisition costs, unify information, facilitate onboarding, and perform content lifecycle management on remaining documents
    • Build an enterprise metadata repository that is the fundamental component in an information governance strategy, to enable the reuse of semantic metadata across an enterprise, by any application that requires metadata

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