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# Graphwise: AI THRIVES ON WHOLE DATA

> Graphwise combines the expertise of Ontotext and Semantic Web Company to provide a trusted solution in graph and AI technologies\.

## Pages
- [GraphDB](https://graphwise.ai/components/graphdb/)
- [Do it Graphwise](https://graphwise.ai/do-it-graphwise/)
- [Knowledge Management Suite](https://graphwise.ai/bundles/knowledge-management-suite/)
- [Bundles](https://graphwise.ai/bundles/)
- [Graph RAG Tutorial for Financial Services](https://graphwise.ai/graph-rag-tutorial-for-financial-services/): An exclusive 60\-minute tutorial on GraphRAG for financial services professionals with personalized guidance\.
- [Data Management Suite](https://graphwise.ai/bundles/data-management-suite/)
- [Graph and Text Analytics](https://graphwise.ai/components/graph-and-text-analytics/)

## Events
- [Graph COE: Preparing for next generation AI](https://graphwise.ai/event/graph-coe-preparing-for-next-generation-ai/): In this session, you’ll learn how to strategically adopt graph technologies across your organization by establishing a Graph Center of Excellence \(CoE\)\.
- [Accelerating Decision\-Making in Finance:  AI \& Graphs in Action](https://graphwise.ai/event/accelerating-decision-making-in-finance-ai-graphs-in-action/): Watch the insightful webinar where we explore the latest Graphwise case studies from the financial industry, demonstrating how graph technology and AI are driving decision automation across critical business areas
- [Automate Knowledge\. Trust your AI](https://graphwise.ai/event/automate-knowledge-trust-your-ai/): Join us for an end\-of\-year session with Atanas Kiryakov and Andreas Blumauer as we explore what shaped the market this year and where it’s heading next\. 
- [Talk to Your Graph](https://graphwise.ai/event/webinar-talk-to-your-graph/): Join us for a technical showcase of how leading organizations are using Talk to Your Graph \(TTYG\) to enable natural language interaction with complex, graph\-based data\.
- [Graphwise AI Summit 2025](https://graphwise.ai/event/graphwise-ai-summit-2025/): Join Graphwise for a two\-day online event packed with virtual talks, panels, and demos with industry leaders and innovators\. Explore the strategic impact of semantic technologies and knowledge graphs on cutting\-edge AI, diving into real\-world use\-cases including Agentic AI, GenAI, GraphRAG, Recommendation Systems, and much more\!

## Resources
- [Getting Started with Taxonomies](https://graphwise.ai/resources/on-demand-webinar/getting-started-with-taxonomies/): Watch Heather Hedden, Data \& Knowledge Engineer at SWC and author of The Accidental Taxonomist, in her webinar “Getting Started with Taxonomies\.”
- [State of Play on LLM and RAG: Preparing Your Knowledge Organization for Generative AI](https://graphwise.ai/resources/white-paper/knowledge-organization-llm-rag/): This study, sponsored by Graphwise, explores LLMs and RAG in enterprises and provides statistics from executives across various industries\.
- [Auto Classification 101](https://graphwise.ai/resources/on-demand-webinar/auto-classification-101/): Our experts will teach you about auto classification and its applications to the business world and take you through a demo
- [Enhancing Microsoft 365 Enterprise Productivity with Graphwise’s Semantic AI](https://graphwise.ai/resources/white-paper/enhancing-microsoft-365-enterprise-productivity-with-graphwise-semantic-ai/): Explore the reasons why enterprise AI adoption fails or falls short and how Graphwise, through its Microsoft 365\-native solution, addresses these challenges\.
- [What is Taxonomy Management](https://graphwise.ai/resources/white-paper/what-is-taxonomy-management/): Download this white paper to learn more about how taxonomy management helps you manage your data and stay ahead of the curve\.

## Blog Posts
- [AI\-ready Graph Environments: The Key to Scaling AI with Graphwise’s Knowledge Graphs](https://graphwise.ai/blog/ai-ready-graph-environments-the-key-to-scaling-ai-with-graphwises-knowledge-graphs/): Read about why most enterprise AI fails and how Graphwise creates graph environments using knowledge graphs and semantics\.
- [Transforming Agricultural Research with CABI Thesaurus and PoolParty](https://graphwise.ai/blog/cabi-thesaurus/): Using PoolParty tools, the relaunched CABI Thesaurus streamlines the process of accessing critical agricultural and scientific information\.
- [Turbocharging Drug Discovery through Target Identification: Graphwise’s AI\-Powered Solution at Work](https://graphwise.ai/blog/turbocharging-target-identification-graphwises-ai-powered-solution-at-work/): Read about how our solution addresses the challenges researchers face in the drug discovery process
- [The Superpowers of Graphwise's Relation and Event Detector](https://graphwise.ai/blog/the-superpowers-of-graphwises-relation-and-event-detector/): Graphwise's solution transforms raw news content into actionable data for events impact assessment and risk and opportunity detection\.
- [The Graphwise AI Summit 2025: Your Final Call to Unlock Trusted AI](https://graphwise.ai/blog/the-graphwise-ai-summit-2025-your-final-call-to-unlock-trusted-ai/): Read about this event where expert speakers are coming to talk about building explainable, enterprise\-grade AI systems 


## Jobs
- [Strategic Account Executive – North America](https://graphwise.ai/jobs/strategic-account-executive-north-america/): We are looking for a proven Strategic Account Executive to join our Sales Team with at least two years experience in selling knowledge graph technologies\.
- [Senior Backend Engineer \(m/f/d\)](https://graphwise.ai/jobs/senior-backend-engineer/): We are looking for Senior Backend Engineer to help us build great knowledge graph products\.
- [Data Engineer \(m/f/d\)](https://graphwise.ai/jobs/data-engineer/): Help Graphwise build state\-of\-the\-art solutions using semantic technologies, knowledge graphs, interoperable data, and gen AI\.

## Fundamentals
- [What is Taxonomy Management?](https://graphwise.ai/fundamentals/what-is-a-taxonomy-management/): Taxonomy Management helps enterprises organize their knowledge and make information easy to find, use and analyze\. Learn more\!
- [What Is GraphRAG?](https://graphwise.ai/fundamentals/what-is-graph-rag/): Retrieval Augmented Generation enhances LLMs with external knowledge for more accurate, contextual question answering\.
- [What Is a Semantic Layer?](https://graphwise.ai/fundamentals/what-is-a-semantic-layer/): The benefits of the semantic layer in organizing and abstracting enterprise data to facilitate decision\-making\.
- [What Is RDF?](https://graphwise.ai/fundamentals/what-is-a-rdf/): RDF is a standard for data interchange that is used for representing highly interconnected data\.
- [What Is GraphQL?](https://graphwise.ai/fundamentals/what-is-graphql/): GraphQL is a powerful and flexible query language for APIs, offering a robust alternative to traditional REST approaches\. 

## Demos
- [Risk Event Detection \[RED\]](https://graphwise.ai/demo-area/risk-event-detection-red/): Extract insights from messy text with NLP and LLMs\. Combines knowledge graphs, entity recognition, and entity linking for complex information\.
- [Product Information Management \& Discoverability](https://graphwise.ai/demo-area/product-information-management-discoverability/): Automate  the extraction of diverse product attributes at scale\.
- [Target Discovery](https://graphwise.ai/demo-area/target-discovery/): Find therapeutic targets in vast, disconnected data\. Links diverse databases, unstructured content, and proprietary sources to speed drug discovery\.
- [Semantic bSDD](https://graphwise.ai/demo-area/semantic-bsdd/): The buildingSmart Data Dictionary \(bSDD\) is an important shared resource in the Architecture, Engineering, Construction, and Operations \(AECO\) domain\. Semantic bSDD improves bSDD data quality, usability and validity\.
- [CV \- Job Semantic Matchmaker](https://graphwise.ai/demo-area/skills-tagging-for-cv-and-job-posting-matching/): Transform business processes such as hiring, talent management and human resources pooling into a dynamic Knowledge Graph\.

## Experience Area
- [Graphwise Demo Area](https://graphwise.ai/experience-area/graphwise-demo-area/): Explore a variety of real\-world demonstrators—each built to highlight how our technology and domain expertise solve complex data challenges across industries\.
- [Success Stories](https://graphwise.ai/experience-area/success-stories/): Explore how innovators across industries use Graphwise to transform their data into insights, efficiency, and measurable success\.
- [Graphwise Sandbox](https://graphwise.ai/experience-area/graphwise-sandbox/): Try Graphwise Sandbox—a secure, self\-service platform to explore GraphDB\. Run queries, use curated datasets, and test graph tech with no setup needed\.
- [Graphwise Academy](https://graphwise.ai/experience-area/graphwise-academy/): The Graphwise Academy is a place where you can learn more about graph technologies and how to use our software\.

## Success Stories
- [Transforming AI Reliability by Building Knowledge Graph\-Powered Customer Support](https://graphwise.ai/success-story/avalara-transforming-ai-reliability-by-building-knowledge-graph-powered-customer-support/): Avalara used GraphRAG to establish a foundation for reliable, mission\-critical AI applications in tax and financial services\.
- [Enhancing Public Access and Legislative Transparency](https://graphwise.ai/success-story/uk-parliament-enhancing-public-access-and-legislative-transparency/): The UK Parliament leveraged GraphDB to modernize its legislative and open data platform, enabling clearer public information \& easier access
- [Building a Collaborative Knowledge Hub for AI\-Powered Predictive Intelligence](https://graphwise.ai/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 
- [Turning a Legacy Thesaurus into a Strategic Knowledge Asset](https://graphwise.ai/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
- [Expanding Editorial Output for the FIFA World Cup, Delivering 800\+ Pages in Weeks](https://graphwise.ai/success-story/bbc-scaling-editorial-output-for-the-fifa-world-cup-delivering-800-pages-in-weeks/): The BBC used semantic technology to To power its 2010 FIFA World Cup website to cut editorial costs and improve user experience 

## Thought Leadership posts
- [Why Business\-Critical AI Needs to Be Domain\-Aware](https://www.dataversity.net/articles/why-business-critical-ai-needs-to-be-domain-aware/): Andreas Blumauer talks about why organizations must adopt domain\-aware AI that incorporates industry\-specific knowledge graphs to avoid costly failures
- [Vassil Momtchev on Why Knowledge Graphs Are Critical to Building Context\-Rich Enterprise AI](https://techintelpro.com/interviews/vassil-momtchev-on-why-knowledge-graphs-are-critical-to-building-context-rich-enterprise-ai/): Vassil Momtchev talks about how Graphwise uses semantic AI and knowledge graphs to solve LLM hallucinations
- [AITech Interview with Atanas Kiryakov, President at Graphwise](https://ai-techpark.com/aitech-interview-with-atanas-kiryakov/): A deep dive into the evolution of semantic AI and knowledge graphs, and how Graphwise is redefining enterprise data strategy through scalable Graph AI\.
- [How Semantic AI \& Knowledge Graphs Can Turn M365 Environments Into a Smart Knowledge Hub](https://www.dataversity.net/articles/why-business-critical-ai-needs-to-be-domain-aware/): Andreas Blumauer talks about why how semantic AI \& knowledge graphs can turn M365 environments into a smart knowledge hub

- [Leveraging Trusted AI to Ensure Accuracy in Technical Documentation](https://graphwise.ai/thought-leadership/iirds-for-trusted-ai/): Harald Stadlbauer, Markus Kronfellner, Helmut Nagy talk about enriching DITA with iiRDS and a trusted knowledge base

## Summit Videos
- [Semantic Assistance: Leveraging AI to Expedite Taxonomy Development and Management](https://graphwise.ai/summit-video/semantic-assistance-leveraging-ai-to-expedite-taxonomy-development-and-management/): Enterprise Knowledge \(EK\) will discuss how AI can be used as a “semantic assistant” to improve taxonomy design and management, sharing practical applications and lessons learned\.
- [Keynotes Opening Remarks](https://graphwise.ai/summit-video/keynotes-opening-remarks/): Opening the Graphwise AI Summit 2025, focusing on the moving past the hype of general AI and building enterprise\-grade, trustworthy AI systems\.
- [Graphwise AI Summit 2025 Closing Remarks](https://graphwise.ai/summit-video/graphwise-ai-summit-2025-closing-remarks/): Graphwise AI Summit 2025 Closing Remarks
- [The Accidental KM Practice](https://graphwise.ai/summit-video/the-accidental-km-practice/): Michael Iantosca will discuss the evolution of enterprise KM practice at Avalara, focusing on the applications of linguistic stacks and knowledge graphs in automating complex business processes\.
- [Conversational tools driven by RDF\-based Knowledge Graphs](https://graphwise.ai/summit-video/conversational-tools-driven-by-rdf-based-knowledge-graphs/): This presentation shows how RDF\-based knowledge graphs support conversational tools with factual references\. It outlines an architecture designed and implemented as part of an applied\-research project within the BMW Group\.

## Categories
- [Knowledge Graph](https://graphwise.ai/knowledge-graph/)
- [AI in Action](https://graphwise.ai/ai-in-action/)
- [Generative AI](https://graphwise.ai/generative-ai/)
- [Semantic Layer](https://graphwise.ai/semantic-layer/)
- [GraphRAG](https://graphwise.ai/graph-rag/)

## Tags
- [GraphDB](https://graphwise.ai/tags/graphdb/)
- [Talk to Your Graph](https://graphwise.ai/tags/talk-to-your-graph/)
- [drug discovery](https://graphwise.ai/tags/drug-discovery/)
- [target discovery](https://graphwise.ai/tags/target-discovery/)
- [information extraction](https://graphwise.ai/tags/information-extraction/)

## Stats Types
- [view](https://graphwise.ai/wpa-stats-type/view/)
- [Chrome](https://graphwise.ai/wpa-stats-type/chrome/)
- [Macintosh](https://graphwise.ai/wpa-stats-type/macintosh/)
- [Windows](https://graphwise.ai/wpa-stats-type/windows/)
- [Firefox](https://graphwise.ai/wpa-stats-type/firefox/)

## Categories
- [global sections](https://graphwise.ai/layout_category/global-sections/)
- [blog sections](https://graphwise.ai/layout_category/blog-sections/)

## Type
- [module](https://graphwise.ai/layout_type/module/)
- [row](https://graphwise.ai/layout_type/row/)
- [section](https://graphwise.ai/layout_type/section/)
- [layout](https://graphwise.ai/layout_type/layout/)

## Module Width
- [regular](https://graphwise.ai/module_width/regular/)

## Scope
- [not\_global](https://graphwise.ai/scope/not_global/)
- [global](https://graphwise.ai/scope/global/)

## Type
- [template](https://graphwise.ai/et_tb_item_type/template/)

## Event Categories
- [Event](https://graphwise.ai/events/category/event/)
- [On\-demand Webinar](https://graphwise.ai/events/category/on-demand-webinar/)
- [Webinar](https://graphwise.ai/events/category/webinar/)
- [Online Event](https://graphwise.ai/events/category/online-event/)

## Resource Categories
- [Blog post](https://graphwise.ai/resource-category/blog-post/)
- [On\-demand webinar](https://graphwise.ai/resource-category/on-demand-webinar/)
- [Case study](https://graphwise.ai/resource-category/case-study/)
- [Fundamental](https://graphwise.ai/resource-category/fundamental/)
- [White paper](https://graphwise.ai/resource-category/white-paper/)

## Blog Categories
- [Blog](https://graphwise.ai/blog-category/blog/)
- [Featured](https://graphwise.ai/blog-category/featured/)
- [AI in Action](https://graphwise.ai/blog-category/ai-in-action/)
- [Technology](https://graphwise.ai/blog-category/technology/)
- [Business](https://graphwise.ai/blog-category/business/)

## Job Locations
- [Sofia \(Hybrid\)](https://graphwise.ai/job-location/sofia-hybrid/)
- [Remote](https://graphwise.ai/job-location/remote/)
- [Sofia/Vienna/Ruse](https://graphwise.ai/job-location/sofia-vienna-ruse/)

## Job Categories
- [AI](https://graphwise.ai/job-category/ai/)
- [Enterprise Account Management](https://graphwise.ai/job-category/enterprise-account-management/)
- [Sales](https://graphwise.ai/job-category/sales/)
- [Data Engineering](https://graphwise.ai/job-category/data-engineering/)
- [Software Engineering](https://graphwise.ai/job-category/software-engineering/)

## Partner Categories
- [Consulting \& Implementation Partners](https://graphwise.ai/partner-category/consulting-implementation-partners/)
- [Research Partners](https://graphwise.ai/partner-category/research-partners/)
- [Technology \& OEM Product Partners](https://graphwise.ai/partner-category/technology-oem-product-partners/)
- [Membership in Organizations](https://graphwise.ai/partner-category/membership-in-organizations/)
- [Strategic Platform Partners](https://graphwise.ai/partner-category/strategic-platform-partners/)

## Business Problems
- [Underperforming assets](https://graphwise.ai/business-problem/underperforming-assets/)
- [Employee satisfaction](https://graphwise.ai/business-problem/employee-satisfaction/)
- [Poor data accessibility](https://graphwise.ai/business-problem/poor-data-accessibility/)
- [Poor data quality](https://graphwise.ai/business-problem/poor-data-quality/)
- [Inability to scale](https://graphwise.ai/business-problem/inability-to-scale/)

## Software Bundle
- [GraphDB](https://graphwise.ai/product/graphdb/)
- [Graphwise AI Suite](https://graphwise.ai/product/graphwise-ai-suite/)
- [Graphwise Knowledge Management Suite](https://graphwise.ai/product/graphwise-knowledge-management-suite/)
- [OMDS](https://graphwise.ai/product/omds/)
- [Semantic Objects](https://graphwise.ai/product/semantic-objects/)

## Use Cases
- [Knowledge Hub](https://graphwise.ai/use-case/knowledge-hub/)
- [Content discoverability](https://graphwise.ai/use-case/content-discoverability/)
- [Content discovery](https://graphwise.ai/use-case/content-discovery/)
- [Intelligent Assistant](https://graphwise.ai/use-case/intelligent-assistant/)
- [ESG](https://graphwise.ai/use-case/esg/)

## Industries
- [Healthcare \& Life Sciences](https://graphwise.ai/industry/healthcare-life-sciences/)
- [Non\-profit](https://graphwise.ai/industry/non-profit/)
- [Financial Services](https://graphwise.ai/industry/financial-services/)
- [Government \& Public Services](https://graphwise.ai/industry/government-public-services/)
- [Software \& Technology](https://graphwise.ai/industry/software-technology/)

## Solution
- [GraphDB](https://graphwise.ai/solution/graphdb/)
- [Graph Modeling](https://graphwise.ai/solution/graph-modeling/)
- [Target Discovery](https://graphwise.ai/solution/target-discovery/)
- [Microsoft 365 Integration](https://graphwise.ai/solution/microsoft-365-integration/)

## Summit day
- [Day one](https://graphwise.ai/summit-day/day-one/)
- [Day two](https://graphwise.ai/summit-day/day-two/)

## Company
- [Graphwise](https://graphwise.ai/company/graphwise/)
- [Cognizone](https://graphwise.ai/company/cognizone/)
- [Valorem Reply](https://graphwise.ai/company/valorem-reply/)
- [The Knowledge Graph Guys](https://graphwise.ai/company/the-knowledge-graph-guys/)
- [Enterprise Knowledge](https://graphwise.ai/company/enterprise-knowledge/)

## Offers
- [GraphDB](https://graphwise.ai/offer/graphdb/)
- [Data Management Suite](https://graphwise.ai/offer/data-management-suite/)
- [Graph AI Suite](https://graphwise.ai/offer/graph-ai-suite/)
- [LLDI](https://graphwise.ai/offer/lldi/)
- [Knowledge Management Suite](https://graphwise.ai/offer/knowledge-management-suite/)