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Qlevia AI Enterprise Knowledge Graph and Context Graph Platform

durch Qlevia AI

Scalable RDF graph platform for enterprise knowledge graphs, context graphs, semantic search, and co

Qlevia Enterprise RDF Graph Platform is a scalable knowledge graph and semantic data platform designed for organizations that need to connect, search, and query highly interconnected enterprise data across systems, documents, applications, and AI workflows.

Built on open RDF and SPARQL standards, Qlevia enables enterprise architects, data architects, knowledge graph teams, and application developers to create knowledge graphs, context graphs, and semantic layers that unify data across systems, documents, metadata repositories, applications, and reference datasets. The platform combines graph querying, full-text search, spatial search, and path discovery within a single query engine, allowing organizations to explore relationships, context, and meaning across large volumes of connected data.

Qlevia is designed for both departmental and enterprise-scale deployments and has been proven on some of the world's largest publicly available RDF datasets, including Wikidata, OpenStreetMap, UniProt, and PubChem. The platform is optimized for infrastructure-efficient graph processing, enabling organizations to scale from millions to hundreds of billions of connected facts within the same platform architecture, without requiring large-scale specialized hardware.


The platform includes an RDF graph database, SPARQL query endpoint, graph administration console, Azure Blob Storage integration, linked data gateway, graph exploration tools, and configurable semantic data navigation interfaces. Qlevia also supports graph views that allow complex relationship patterns and frequently used graph structures to be precomputed for simplified and more efficient querying.


Typical use cases include enterprise knowledge graphs, semantic search, customer and entity intelligence, regulatory and compliance intelligence, fraud detection, Know Your Customer (KYC), operational intelligence, metadata management, digital twins, data integration, and AI-ready connected data foundations.


Qlevia can be deployed as a standalone RDF graph platform or used as the foundation for domain-specific graph applications and advanced data services.

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