Graphwise

What it does

Graphwise is an enterprise platform that turns fragmented corporate data into a connected knowledge graph. Data is ingested and enriched through taxonomy and ontology modeling, entity recognition and auto-tagging, then stored in a semantic graph database that AI applications and agents can query for structured, traceable context.

Teams use it to build GraphRAG applications, where a language model answers from verified graph data rather than general training data, with attribution back to source graph nodes. Natural language querying and visual workflow tools let non-technical staff ask questions and trace agent execution paths. Described use cases include technical knowledge management, compliance, scientific knowledge management and semantic digital twins.

It suits enterprises with large, siloed content or data estates that need auditable AI answers. Access is through a sales process: the site routes buyers to a demo or quote request, and GraphDB Enterprise is offered on-premises, in the cloud or as a hybrid deployment. The vendor notes that hallucinations cannot be completely ruled out.

What it can do

• Semantic graph database (GraphDB) supporting RDF and SPARQL with multi-hop reasoning
• Taxonomy and ontology management for shared business vocabulary
• Automated data ingestion, enrichment and NER/auto-tagging pipeline
• GraphRAG retrieval so LLM answers draw from verified graph data
• Natural language querying of graph data for non-technical users
• Traceable attribution linking AI answers back to source graph nodes

Works with

• Microsoft 365 (Graphwise for M365, Termstore synchronisation)
• Tridion (Semantic AI for Tridion, taxonomy synchronisation)
• Adobe Experience Manager (Semantic Booster)
• Microsoft Copilot Studio (Ecosystem & Agent Connectors)

Before you choose

• Pricing is quote-based and depends on sizing, tier and CPU cores for GraphDB; plan costs with the vendor.
• Deployment and data modeling require substantial enterprise IT effort; an accelerator program is offered to prove value.
• Vendor states hallucinations cannot be fully eliminated; GraphRAG reduces but does not remove risk.

Listed under

• Data
• AI agents
• Compliance
• Data management
• Enterprise AI
• Graphrag
• Knowledge graph

Get started

Pricing is handled through sales; the site offers a demo and quote request.

1. Review the platform and component overview in the Graphwise documentation.
2. Check the system requirements for installing and managing components.
3. Contact the Graphwise team for a demo or quote to scope deployment and sizing.

GraphDB Enterprise has custom pricing based on CPU core requirements. Sizing tier, services and LLM services are options to confirm in a quote.

We couldn’t find published prices for Graphwise. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• Graphwise - Precision Context for Enterprise AI Agents ↗graphwise.ai
• The Graphwise Enterprise AI Platform ↗graphwise.ai
• Graphwise Graph AI Suite ↗graphwise.ai
• How to use GraphRAG to scale your enterprise? | Graphwise ↗graphwise.ai
• Graphwise Platform Documentation ↗help.graphwise.ai

Company website

graphwise.ai: product, pricing and policy pages

YC directory mirror

Batch and company name

Human review

Checked by a person

knowledge_base

manual_review

Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.