Solidatus Expands Metadata Governance With Agentic AI and Bi-Temporal Graphs

Solidatus is transforming from a platform focused on lineage-first metadata into an advanced tool powered by agentic AI. Its bi-temporal graph structure, semantic modeling capabilities, and built-in AI assistant make Solidatus well-suited for tackling complex governance and data quality challenges in regulated sectors.

Strategic Positioning

Solidatus targets highly regulated, complex organizations – especially in financial services, healthcare, and government. Its core differentiator is a bi-temporal graph architecture that enables tracking metadata across time (past, present, future), supporting proactive governance and impact analysis.

Technology Highlights

• Graph-Based Ontology: Solidatus supports ontological modeling (e.g. FIBO), enabling semantic layering beyond simple glossaries.
• Rules Engine: Users can define granular validation rules for data quality, compliance, and control effectiveness.
• Agentic AI Assistant: Embedded AI can analyze metadata at scale, classify attributes, generate business rules, and surface inconsistencies – accelerating governance tasks by 10x.
• Shift-Left Governance: Integrations with Jira, Git, and ServiceNow allow governance to be embedded into DevOps workflows, enabling automated policy enforcement before code changes are deployed.

Use Cases

Solidatus supports:

• End-to-end lineage visualization across systems and jurisdictions.
• Data quality profiling and control mapping.
• AI model metadata management, including training data lineage and semantic context.
• Privacy and compliance tracking (e.g. PII classification, regulatory mapping).

Our Take

Solidatus was formally endorsed by Microsoft as a tool complimentary to MS Purview back in March, 2024. Many early adopters of MS Purview quickly realized that, while the tool is great for any security or privacy management aspects, it does not provide business-user-friendly rich metadata to understand data provenance/lineage and semantic meaning. Thus, if you are wondering whether Purview would be enough for you in the Azure environment, the answer would be “not likely,” though Solidatus may be a good option as it is fully integrated with Purview already.

Image © Solidatus

The graph-based nature of Solidatus makes it well-positioned to support agentic AI platforms by providing the metadata intelligence needed for responsible automation. Its ability to model conceptual and behavioral patterns, enforce governance rules, and visualize lineage across time makes it a strong candidate for organizations pursuing AI-driven transformation.

If you are a non-Microsoft shop you can still use Solidatus, but in this case your choices may be expanded. Data.world provides comparable (if not superior) knowledge graph management capabilities, but it’s not integrated with Purview.

Solidatus’ deep expertise in the financial industry sector should also be seriously considered. Not only can FIBO (Financial Industry Business Ontology) be used as the core semantic model, through its partnership with Enterprise Data Management Council (EDMC), Solidatus enables both Cloud Data Management Capability Model (CDMC) and Data Management Capability Assessment Model (DCAM) EDMC frameworks out of the box (subject to EDMC’s licensing).