Column-level lineage with business and policy context built in.

Solidatus is an advanced data lineage platform for regulated enterprises that combines business and data lineage in one model. It maps data flows from source to business use at column-to-policy depth, with bi-temporal version control and an AI Lineage Assistant with human-in-the-loop validation. Customers include LSEG, BNY, HSBC, Deutsche Bank, and Royal London Asset Management.

Catalog-level lineage indexes what data exists and provides basic technical impact analysis. Solidatus delivers capabilities catalogs cannot: end-to-end cross-system lineage with automated mapping, rules-based impact analysis, bi-temporal version control for audit trails and what-if scenarios, regulatory overlays for BCBS 239 and the EU AI Act, business context enrichment with ownership and policy tags, and AI-assisted lineage generation with human-in-the-loop validation.

Solidatus integrates with cloud data platforms (Snowflake, Databricks, Azure, AWS, GCP), databases (Oracle, SQL Server), transformation tools (Informatica, dbt, Matillion), BI platforms (Tableau, Power BI, Looker, Qlik), and legacy mainframes. It works alongside data catalogs including Collibra, Alation, and Microsoft Purview. An open API and SDK support custom connectors for bespoke and internal systems.

Solidatus is available as a SaaS platform on Azure, AWS, or GCP, deployed on-premises in your data centers, or in a private cloud tenancy. Hybrid deployments split sensitive data on-premises and analytics in the cloud. The platform uses a modern, API-first architecture with containerized microservices.

Bi-temporal version control records both business time (when a data event occurred) and system time (when it was recorded). That dual axis lets you reconstruct your data estate as it existed on any past reporting date, track how issues were resolved, and model future-state changes before you commit to them. Audit teams use bi-temporal to reproduce historical state. Change programs use it to de-risk cloud migrations and platform consolidations.

The AI Lineage Assistant is built directly into the Solidatus platform. It drafts mappings, proposes connections, enriches metadata, and converts unstructured documents (PDFs, Excel, images) into structured lineage models. Every AI-generated change is staged in a safety sandbox with visual diffs and hallucination detection, so your team reviews and approves before anything reaches production. Customers can use their own enterprise LLM (BYOLLM) or have Solidatus host the model infrastructure.

Solidatus provides purpose-built capabilities for regulations that require demonstrable data lineage. For BCBS 239, end-to-end traceability from risk reports back to authoritative data sources with bi-temporal audit trails. For DORA, critical data flows across ICT systems for operational resilience testing and incident reporting. For the EU AI Act, traces AI model inputs to their sources and documents the provenance the regulation requires. For GDPR, tracks PII at column level and supports subject access request workflows.

Yes. Solidatus is designed to coexist with catalog-level tools including Collibra, Alation, and Microsoft Purview. It enriches catalog metadata with deep lineage context, business relationships, and regulatory mappings, extending rather than replacing existing governance investments. Bidirectional sync with Microsoft Purview is supported.