Graph Modeling
Streamline taxonomy and ontology management to transform siloed content into AI-ready knowledge graphs for AI agents
Graphwise Graph Modeling is a taxonomy and ontology management tool that streamlines how enterprises organize and connect data—ensuring AI agents have a clean, governed, and reliable foundation to drive real ROI.
For an AI to truly help your business, it needs to understand how your organization operates, not just have access to your files. Yet, most enterprises pay a hidden “data tax”—spending millions manually piecing together fragmented data, which causes GenAI models to hallucinate or miss critical context.
Graphwise eliminates this bottleneck by automating a centralized “business blueprint” that teaches your AI exactly how your company works.
Create, link and manage your taxonomies in a centralized tool
Traditional taxonomy development has long been a manual bottleneck, requiring months of human effort to build and maintain. Graphwise Graph Modeling removes this barrier by integrating LLMs into the taxonomy modelling process.
- Create the logical structure of your business, including hierarchical and faceted taxonomies, thesauri, and controlled metadata term lists
- Build on global W3C standards (SKOS/RDF) to ensure your data is never locked in a proprietary silo
- Link multiple vocabularies across the enterprise and implement APIs for seamless system integration
- Customize quality settings, with built-in data validators and guidelines, ensuring high-quality inputs for your AI models
Automate the taxonomy modeling process with our Taxonomy Builder
The Taxonomy Builder feature uses LLMs (incl. OpenAI, Google Gemini, and Anthropic) and GenAI to streamline the process of creating taxonomies, eliminating the bottleneck of manual modeling and ensuring domain-specific facts instead of generic AI guesses.
- Precise, domain-specific recommendations: The LLM is grounded in your own company documents and data
- Human-in-the loop control: The AI-suggested concepts can be accepted, edited or rejected by the user
- Contextual intelligence & hierarchy expansion: By understanding where a concepts sits in your hierarchy, the tool provides more accurate results than ChatGPT
- Comprehensive vocabulary control: The tool suggests narrower concepts, alternative labels or definitions that a user might overlook, enabling auto-tagging and search
Move beyond simple hierarchies with ontology management
Don’t just organize your terms – define how your business actually operates. Our ontology management tool helps accelerates ontology development by transforming static lists into dynamic, machine-readable semantic layers:
- Connect the dots: Link custom schemas and rich, real-world relationships directly to your existing taxonomies
- Standardized & scalable: Built on global W3C standards (SKOS/RDF) to eliminate proprietary data silos
- AI-Ready foundation: Turn fragmented content into an integrated architectural layer optimized for precise GraphRAG and autonomous AI agents
Maintain control with human-in-the-loop and strategic governance
While Graphwise reduces the manual burden of graph modeling, it is designed to augment, not replace, taxonomists and SMEs. The human expert remains essential at three key decision points:
- Selective adoption: Choose which AI suggestions to accept
- Structural refinement: Organize hierarchies for end-user navigation or machine tagging
- Label governance: Ensure synonyms match brand standards
We recommend a governance plan that defines the purpose, maximum depth, and specific use cases for each scheme before triggering automation.
Key features you’ll love:
Explore Our Success Stories
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Microsoft Docs transformed millions of technical documents into a semantically enriched, scalable knowledge system.
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Avalara used GraphRAG to establish a foundation for reliable, mission-critical AI applications in tax and financial services.
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Building a Collaborative Knowledge Hub for AI-Powered Predictive Intelligence
Sensing Clues implemented Graphwise’s Knowledge Management Suite to build vast organizational knowledge models.
Read moreTake a deep dive with an expert.
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