We're excited to announce the July 2026 release of metaphactory, introducing a unified semantic layer for enterprise AI, data mapping and virtualization capabilities through an integration of Ontopic, AI-assisted ontology modeling, and native RDF & SPARQL 1.2 support.

A semantic layer for AI-ready enterprises

As organizations adopt AI applications and agentic workflows, they need a shared understanding of enterprise concepts, relationships, and business terminology that enables both humans and AI systems to interpret information consistently and produce trustworthy, explainable outcomes. This is the role of a semantic layer. This release brings together ontology modeling, semantic mapping, and virtualized data access into a streamlined Model–Map–Access experience.

Organizations can model ontologies, map enterprise data sources, and expose governed semantic interfaces for AI applications through a unified AI-assisted workflow that simplifies every stage of semantic layer development. With deeper Ontopic integration, metaphactory’s semantic data virtualization technology, organizations can seamlessly publish ontologies authored in metaphactory for virtualized access to distributed enterprise data, eliminating manual synchronization and reducing operational complexity.

This enables organizations to:

• Connect ontology management, semantic mapping, and enterprise data access workflows
• Build governed semantic interfaces for AI applications
• Reduce complexity across semantic architecture implementations
• Access distributed enterprise data without replication or movement
• Establish explainable and standards-based AI data access patterns
• By bringing modeling, governance, and virtualized data access together, metaphactory simplifies the delivery of AI-ready semantic architectures.

One workspace for human and AI ontology modeling

This release introduces a unified ontology modeling experience that embeds the metis AI modeling assistant directly into metaphactory’s real-time collaborative ontology editor.

Knowledge engineers and knowledge stewards can now collaboratively model ontologies using the visual graph canvas, receive AI-generated suggestions, and refine semantic structures within a single shared workspace — reducing tool switching and accelerating semantic modeling workflows.

Key benefits include:

• Seamlessly join and collaborate in shared visual ontology modeling sessions
• Access AI-assisted semantic modeling directly within the Visual Ontology Editor
• Reduce context switching between modeling and AI-assisted workflows
• Accelerate ontology development through a unified modeling experience

Precision document understanding through semantic annotation

metaphactory 6.0 introduces a new capability for semantic annotation of unstructured documents that performs entity detection, extraction and linking, enabling organizations to enrich documents such as PDFs and technical reports with links to governed semantic concepts.

Organizations can now:

• Improve explainability and semantic precision in AI workflows
• Link enterprise documents to governed semantic concepts
• Normalize terminology across structured and unstructured data
• Support traceable reasoning and knowledge grounding for AI applications

By combining vocabulary management, semantic governance, and a document annotation module with full entity detection, extraction and linking, metaphactory enables organizations to apply governed vocabularies consistently across enterprise documents, creating more accurate and trustworthy AI-ready knowledge assets.

This capability is currently available as a beta preview.

RDF & SPARQL 1.2 support

metaphactory now supports RDF & SPARQL 1.2, the latest W3C standards for knowledge graphs and semantic applications. These updates introduce native support for annotated facts and statements about statements, enabling richer knowledge representation and more expressive querying.

This allows organizations to:

• Represent richer contextual knowledge within enterprise knowledge graphs
• Build more expressive semantic queries and exploration workflows
• Align with the latest W3C semantic web standards
• Future-proof semantic infrastructure investments for AI initiatives

While many of these capabilities are most relevant to knowledge graph engineers and SPARQL power users, native RDF & SPARQL 1.2 support ensures organizations can adopt the latest semantic web standards while future-proofing their knowledge graph investments.

Platform modernization for scale and governance

This release includes a range of platform enhancements designed to improve scalability, governance, and maintainability.

Key improvements include:

• A redesigned query catalog that simplifies lifecycle management and permission control
• Modernized diagram management capabilities
• Extended provenance information for improved governance
• Backend simplification aligned with evolving W3C standards

Together, these updates improve platform performance, simplify administration, and provide a stronger foundation for future innovation.

Get started with metaphactory 6.0

The metaphactory 6.0 release will be available to all customers beginning July 14, 2026. Existing customers will receive upgrade guidance through standard support channels. Migration support for customers adopting the new Item-Based Metadata capabilities will also be provided as part of the release rollout. For more details, view the release notes or contact us for a demo to learn how these updates can support your semantic layer initiatives.

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