Released on January 9th, 2026, version 4.3 continues our commitment to full operationalization of semantic artifacts, powering dynamic knowledge graph solutions, and solving your critical data harmonization needs. This minor release focuses on introducing groundbreaking AI-assisted ontology creation, streamlining entity creation workflows, enhancing administrative capabilities, and expanding enterprise deployment flexibility along with various enhancements and improvements. Check out the details below!

AI-Powered Ontology Creation Assistant (Alpha)

Creating well-structured ontologies requires deep expertise in semantic modeling, and we’re excited to introduce our alpha release of an AI Assistant designed to accelerate and democratize this process. Now accessible directly from the Ontology Editor, this intelligent assistant represents a significant leap forward in making semantic data modeling more accessible to teams of all experience levels.

The AI Assistant guides you through ontology creation by first guiding you through development of competency questions your model should answer and suggesting appropriate class hierarchies, properties, and relationships based on best practices and common semantic patterns. Whether you’re starting from scratch or extending existing ontologies, the assistant provides contextual recommendations that help you build robust, specification-compliant semantic models more efficiently.

This alpha release marks the beginning of our journey toward AI-augmented semantic data management. As we continue to refine and expand these capabilities based on user feedback, we’re laying the foundation for a future where creating sophisticated knowledge graphs is faster, more intuitive, and accessible to a broader range of users within your organization.

Customizable Default Annotation Standards

Organizations often have established semantic modeling standards that dictate which RDF vocabularies should be used for metadata annotations. Mobi 4.3 introduces our very first user preference for customizing your editing experience, allowing you to choose between Dublin Core Terms (DC Terms) and RDF Schema (RDFS) as your default annotation vocabulary when creating new entities within versioned records.

Historically, Mobi defaulted to using DC Terms annotations for all entity metadata. While this works well for many use cases, we heard from enterprise users whose organizational standards require or prefer the use of RDFS annotations for consistency with their broader semantic infrastructure. This new preference puts control in your hands, ensuring that your modeling activities align with your organization’s established governance policies and vocabulary standards from the moment you create new entities.

This user preference represents the beginning of a broader initiative to make Mobi’s editing experience more adaptable to individual and organizational needs. By respecting your existing standards and workflows rather than imposing a one-size-fits-all approach, Mobi 4.3 helps your team work more efficiently while maintaining the consistency and compliance that enterprise semantic data management demands.

Enhanced Administration UI with Repository Insights and Logging

Effective platform administration requires visibility into system internals and operational activity, and Mobi 4.3 delivers significant improvements to the administration interface. The enhanced UI now provides comprehensive visibility into internal repositories along with an integrated log viewer, giving administrators the tools they need to monitor, troubleshoot, and optimize their Mobi deployments.

The new repository visibility features allow administrators to inspect the status, configuration, and content of internal storage repositories directly from the admin interface. This transparency is invaluable for understanding system state, diagnosing storage issues, and making informed decisions about repository management and optimization. The integrated log viewer provides real-time and historical access to system logs, enabling rapid identification of issues, performance bottlenecks, or security events.

These administrative enhancements reduce the time required to diagnose and resolve operational issues while providing the insights needed to maintain healthy, performant Mobi deployments. Whether you’re managing a small team installation or a large enterprise deployment, the improved admin tools give you confidence and control over your semantic data infrastructure.

Air-Gapped Enterprise Licensing for Secure Deployments

Security-conscious organizations often require systems to operate in offline or air-gapped environments, and Mobi 4.3 Enterprise now supports offline licensing to accommodate these critical deployment scenarios. This enhancement enables organizations with strict security requirements to deploy and operate Mobi in completely isolated networks without compromising licensing compliance or functionality.

The new offline licensing mechanism supports a wider variety of deployment scenarios including classified networks, secure research environments, and facilities with restricted internet connectivity. Organizations can now activate and manage their Enterprise licenses without requiring ongoing internet access, ensuring that security protocols remain intact while still benefiting from the full capabilities of Mobi Enterprise.

This capability is particularly valuable for government agencies, defense contractors, financial institutions, and healthcare organizations that must maintain strict data isolation. By supporting air-gapped deployments, Mobi 4.3 Enterprise ensures that even the most security-sensitive organizations can leverage the power of semantic knowledge graphs without compromising their security posture.

Ready to Get Started?

Contact us today to learn more about Mobi 4.3 and how it can transform your approach to semantic data management.