Graph Modeling
Leverage our award-winning taxonomy and ontology management tool to transform siloed content into an integrated architectural layer ready for AI agents
Without a centralized semantic backbone and taxonomy management tool, companies get stuck fixing data problems inside siloed CMS and applications. This is a “data tax” on your time and money. Graphwise automates this architectural layer, ensuring your data is clean and ready for AI agents without manual effort.
Graphwise’s Graph Modeling (PoolParty) is regarded as a premium taxonomy and ontology management tool by industry publishers such as KMWorld and Gartner. Not only is it easy-to-use despite its powerful capabilities, it covers all the components needed to maintain taxonomies and later leverage the knowledge model with machine learning and AI in order to further scale your enterprise business processes.
Create, link and manage your taxonomies in a centralized tool
Traditional taxonomy modeling has long been a manual bottleneck, requiring months of human effort to build and maintain. Graphwise Graph Modeling removes this barrier by deploying a multi-model strategy—integrating GenAI and industry-leading LLMs directly into your workflow.
This architectural backbone transforms “messy” data into structured infrastructure that both users and machines can understand.
- 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 creation process with our Taxonomy Advisor
The Taxonomy Advisor feature uses LLMs 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 Advisor 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
Build entire hierarchies instantly with our Taxonomy Builder
The Taxonomy Builder feature goes beyond individual terms to generate multiple levels of hierarchy at once
- Rapidly prototype demo taxonomies to test new Knowledge Graphs or CMS implementations
- Enable taxonomists to navigate complex domains, while empowering SMEs to build taxonomies without prior experience
- Adjust your taxonomy to your specific use case through our customizable parameters (e.g. maximum hierarchy depth, number of narrower concepts per level)
Move beyond simple lists with advanced logic & discovery
The Graphwise platform doesn’t just build taxonomies; it creates an evolving, dynamic intelligent layer for your enterprise by combining two powerful capabilities:
- Strategic reasoning (Ontology layer): By encoding your specific business logic in your company infrastructure, you allow AI agents to navigate context and solve problems rather than just matching keywords
- Continuous grounding (Corpus Analysis): Our tool grounds your taxonomy in your most recent company documents and data by automatically extract emerging terms and industry trends, ensuring a future-proof infrastructure
Maintain control with human-in-the-loop and strategic governance
While Graphwise reduces the manual burden of 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:
Built for Interoperability and Scale
“I wanted a tool that would help me model my domain in a pragmatic, recognizable, and translatable thesaurus…[and with Graphwise] I could use it from the very start, almost without any help.”
Jan Kees Schakel
Founder, Sensing Clues
Take a deep dive with an expert.
Please fill out the form to get connected with a Graphwise Team Member. Get ready for your guided walkthrough and full-access account!