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Concept Tagging

Automatically categorize and enrich your unstructured content at scale

Most companies have thousands of documents scattered across different systems, making content discovery a major bottleneck. Manual tagging takes endless hours and leads to inconsistent categories, while basic keyword search fails whenever someone searches for a concept using different words—like searching for “blue sweater” when a document says “navy pullover.”

Graphwise solves this by combining Large Language Models with Knowledge Graphs to automatically analyze text and understand what it actually means. By bridging human language with enterprise rules, it delivers automatic, context-aware, and auditable tags that stay accurate across all your company’s files.

Manual tagging and standard prompts fall short

Organizing enterprise content has always been a bottleneck. While AI has made initial tagging easier, off-the-shelf approaches introduce major risks:

  • Manual tagging is slow, prone to errors, and impossible to maintain across millions of legacy files
  • Standard LLM prompts lack trust and internal company context
  • Traditional search relies on exact keyword matches, completely missing implied concepts, related events, and multi-hop relationships

The best of both worlds: Language and Trust

Graphwise combines Large Language Models with Knowledge Graphs to deliver deterministic, auditable, and context-aware metadata tagging for high-stakes industries:

  • LLMs read messy, unstructured documents to spot key concepts, entities, and implied meanings
  • Smart linking engines analyze surrounding context to clear up ambiguities
  • Extracted tags are verified against your Knowledge Graph so they strictly follow your company’s categories and industry standards
  • Every document creates permanent, traceable tags that make your internal search and analytics instantly smarter

Integrability

Graphwise already has out-of-the-box integrations with widely used platforms like SharePointAdobe Experience Manager, and Tridion Docs. Thanks to its rich API, it is highly integrable with any enterprise content or data management system. With Graphwise Knowledge Management Suite, you can transform your workflow without making any major changes to your existing systems.

Enterprise-grade tagging built for high-stakes accuracy, consistency, and compliance

Context-aware & reliable

Eliminate random AI mistakes and tag drift with graph-backed rules that deliver consistent, accurate results every time

Inference over keywords

Automatically tag hidden or unstated topics—like mapping complex compliance language to specific risk categories without relying on exact word matches

Auditable & reusable

Turn AI outputs into permanent, fully traceable metadata that satisfies regulatory standards and feeds your search engines and downstream tools

Explore Our Success Stories:

Turning a Legacy Thesaurus into a Strategic Knowledge Asset
Success Story

Turning a Legacy Thesaurus into a Strategic Knowledge Asset

With Graphwise’s Data Management Suite, CABI transformed its outdated, single-use thesaurus for smarter search.

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Building Tailored User Profiles for Career Navigation with Ontologies
Success Story

Building Tailored User Profiles for Career Navigation with Ontologies

JobTeaser used Graphwise’s Data Management Suite to build ontologies and controlled vocabularies.

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Building a Collaborative Knowledge Hub for AI-Powered Predictive Intelligence
Success Story

Building a Collaborative Knowledge Hub for AI-Powered Predictive Intelligence

Sensing Clues implemented Graphwise’s Knowledge Management Suite to build vast organizational knowledge models.

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