Knowledge Management Suite
The toolset to turn fragmented data into knowledge management that scales
The Knowledge Management Suite unifies all enterprise knowledge, structured (spreadsheets, statistics, performance reports) and unstructured (emails, minutes, policy documents) to provide a complete, 360-degree view of your organization.
By leveraging automated tagging, Natural Language Processing (NLP), and semantic search, the suite builds a rich, context-aware knowledge infrastructure, enabling advanced content analytics and knowledge modeling for better discoverability and insights.
Components of the Graphwise Knowledge Management Suite
Graph Modeling
An AI-assisted taxonomy and ontology management tool that builds a shared dictionary of your business rules to ensure every department, system, and AI application share the exact same context.
Semantic Analytics
An intelligent text mining and NLP tool that reads unstructured data and automatically extracts meaning, detects patterns, and enriches content with structured, context-aware metadata.
Graph Automation
An enterprise automation pipeline that orchestrates data ingestion, processing, and system integration at scale to turn messy, siloed information into clean, connected, AI-ready knowledge.
Transform Data into Knowledge
The suite that enables your knowledge-driven growth
Taxonomy Management
Position
Establish, manage, and scale corporate controlled vocabularies and reference data. Build clear classification schemes, synonym maps, and hierarchies to unify enterprise terminology across different systems.
Data Governance
Position
Standardize internal metadata workflows and data quality, ensuring consistent validation processes, access controls, and compliance across all business units.
Graph NLP & Entity Extraction
Position
Unlock the value trapped within unstructured text. Leverage advanced text mining to analyze documents, extract domain-specific entities, and automatically resolve language ambiguities in real time.
Automated Concept Tagging
Position
Classify and enrich enterprise assets at scale. This enables automated, high-precision metadata tagging across thousands of legacy files, converting raw documents into highly discoverable, machine-readable assets.
Ontology Management
Position
Capture complex, real-world business logic and deep data relationships. This enables technical teams to model how concepts, departments, and operations interconnect across the entire organization.
Highlighted features
Taxonomy Builder
AI-assisted taxonomy management tool combining LLM capabilities with human-in-the-loop governance to automatically suggest narrower concepts and alternative labels.
Inferencing
Logical reasoning engine that uncovers implicit concepts and hidden data connections and relationships missed by keyword search.
Linked Data Enrichment
Semantic mapping tool used to import external open linked data and industry-standard text corpora directly into your taxonomy tree to scale your vocabulary.
Graph NLP Extractor APIs
High-precision concept extraction, accessible via standard developer APIs instead of complex SPARQL queries, simplifying integration for any development team.
Visual Workflow Dashboard
The collaborative project workspace where multi-user teams can suggest new terminology, assign peer-review tasks, track validation states, and orchestrate concept approvals.
Quality assurance
Real-time operational dashboard with extensive debugging and validation tools to track data pipeline health, monitor ingestion progress, and audit data integrity.
Services:
Access to the Graphwise Help Desk
Detailed Help documentation
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