We're excited to announce the latest metaphactory release, focused on three key advancements: simplified vocabulary import from Excel, real-time collaborative ontology modeling, and new building blocks for Enterprise Information Architecture.

With these enhancements, metaphactory enables enterprise teams to move faster and think bigger, removing the friction from knowledge graph modeling so they can focus on long-term strategy.

Vocabulary import from Excel

This release introduces a powerful, template-based Excel importer that enables organizations to bring structured vocabulary data into metaphactory using familiar spreadsheet workflows. Rather than requiring a new mapping language or full ETL setup, users can directly import the terminology collections that they have prepared in Excel.

This allows organizations to:

• Accelerate onboarding of existing terminology collections
• Lower the technical barrier for business-oriented users
• Reduce dependency on specialized mapping expertise
• Complement AI-assisted modeling with deterministic, structured imports

By simplifying vocabulary ingestion, metaphactory closes a key competitive gap and further lowers the entry barrier to knowledge-graph based terminology management for subject matter experts.

Real-time, collaborative ontology modeling (Beta)

This release introduces the first phase of real-time, concurrent ontology editing, enabling teams to collaborate in a Google Docs-like environment. This marks an important step toward more integrated, AI-assisted modeling workflows in future releases.

Key benefits include:

• Real-time concurrent editing for distributed teams
• Reduced collaboration bottlenecks
• Foundation for tighter integration of the AI Modeling Assistant
• A more seamless modeling experience, reducing the need for tool switching

This capability will evolve in phases, with further enhancements planned in upcoming releases.

Building blocks for Enterprise Information Architecture

As part of our broader investment in Enterprise Information Architecture (EIA), this release strengthens foundational components that support business-object-driven modeling.

These building blocks help organizations:

• Connect business-layer concepts with technical data assets
• Create structured semantic layers aligned with enterprise architecture needs
• Establish a foundation that supports scalable governance and future AI use cases

metaphactory's EIA app helps enterprise teams pursue long-term knowledge graph strategies by reducing the barrier to entry and streamlining modeling workflows.

Platform improvements for performance, usability and flexibility

This release also includes a set of targeted improvements that enhance the day-to-day experience of working with metaphactory. These updates help teams work more efficiently and maintain their environments with greater ease, including:

• Improved error handling and performance diagnostics to support faster issue resolution
• Performance enhancements in the Visual Ontology Editor for a smoother modeling experience
• Updates to the AI Evaluation framework, supporting workflows such as automated test case creation and LLM-as-a-judge approaches
• Additional configuration options and extension points to better support diverse enterprise requirements

metaphactory's EIA app helps enterprise teams pursue long-term knowledge graph strategies by reducing the barrier to entry and streamlining modeling workflows.

Get started with metaphactory 5.11

metaphactory 5.11 is another step forward in making knowledge graphs more accessible, actionable and insightful. Whether you are using semantic models to build your Enterprise Information Architecture or deploying AI agents to answer business-critical questions, these enhancements provide the tools you need for success.

Ready to explore metaphactory 5.11? Contact us for a demo or see the release notes to learn more about these new features.