AI-Powered Lineage.
Human-Governed Results.
Beyond Q&A, The First Agentic AI Assistant That Builds Your Lineage
Why You Need It
AI adoption, regulatory pressure, and cloud migration are accelerating—but manual lineage can’t keep pace. Without complete visibility, you can’t prove compliance, predict the impact of change, or protect the data powering your decisions and AI.
Without complete visibility, you can't prove compliance or protect your data.
Value pillars
The Data Lineage Platform for Regulated Enterprises
Map, govern, and trust your data across every system. Accelerated by AI, governed by you.
Prove Compliance
Show regulators exactly where data comes from, how it transforms, and who is responsible. End-to-end lineage, regulatory overlays, and bi-temporal audit trails give you the depth that catalog-level lineage can’t.
Predict Impact
See downstream consequences before they happen. Rules-based impact analysis and what-if scenario modeling trace dependencies across systems, so migrations and model changes never create surprises.
Protect Data Integrity
Track PII flows, enforce governance policies, and map business ownership across your data ecosystem. Now accelerated by an AI Lineage Assistant that drafts mappings and enriches metadata, with every change staged for your review.
From Compliance to AI: Lineage That Delivers
Move beyond “AI-ready.” Prove the integrity of your training data, predict how upstream changes affect your models, and protect your business from unaudited AI risk.
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Demonstrate accuracy, completeness, and control to regulators—audit-ready for BCBS 239, DORA, EU AI Act, and GDPR. Manage risk and enforce policy across your data ecosystem.
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Model the impact of cloud migrations, platform consolidations, and system retirements on your data flows—before you make the move.
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Accelerate data governance with confidence. Get the breadth and granularity needed to manage risk, enforce policy, and prove control across your data estate.
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Trace report data to its source. Perform root cause analysis on discrepancies and prove the quality of data powering strategic decisions.
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Trace data quality from source through delivery and govern who accesses each product. Assess the impact of upstream changes before they reach consumers.
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Map relationships between data and systems – and understand the priorities for bringing systems back in the case of downtime.
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Not All Lineage Is Created Equal
Lineage bundled with a data catalog gives you a starting point—but not the depth to prove compliance, predict impact, or protect data integrity. See what advanced lineage delivers.
Prove
End-to-end lineage across all systems
Column-level detail with full context
Regulatory and policy overlays (BCBS 239, DORA, EU AI Act)
Bi-temporal version control for audit trails
Predict
Rules-based impact analysis
Cross-system lineage with auto-mapping
What-if scenario modeling
Downstream dependency tracing
Protect
Business context and ownership mapping
PII and sensitive data tracking
Policy enforcement and control visibility
Custom dashboards and analytics
AI-Powered
AI-assisted lineage mapping
AI-powered metadata enrichment
Human-in-the-loop validation
Delivering Value for the World’s Most Complex Organizations.
“Data is key to everything we do at BNY. Ensuring we have proper data governance is essential to how we operate. Solidatus is helping us extend and integrate the metadata repositories we use to maintain our market leading data complex. Solidatus is helping BNY Mellon drive better data outcomes.”
Eric Hirschhorn
Chief Data Officer, Bank of New York
“Our cross-border data sharing approval process was impeding change through a heavily manual and slow procedure. Solidatus’ transformative technology powered our solution, digitizing data sharing approval requests and delivering an automated response based on a set of predefined parameters. What was taking months is now taking minutes!”
Matthew Widick
Group Head of Data Management, HSBC
“Lineage is the Holy Grail for financial services. We haven’t had anything like what we have now, which is visualizing and bringing this to the fore. Tools is one thing, but that’s not enough. You need experts in lineage too, to support defining the framework and how it will look. Ensuring we understand the data going in and the quality going out means we are ready and AI-enabled.”
Chris Skinner
Data Governance Director, LSEGSee What Advanced Lineage Delivers
Prove compliance. Predict impact. Protect data. All accelerated by AI.
Book a Demo01.
What is Solidatus data lineage?
Solidatus is an enterprise data lineage platform that maps the complete journey of data from source, through every transformation and system, to business use. It provides end-to-end, fine-grained lineage with bi-temporal version control, business context overlays, and an AI Lineage Assistant that automates mapping and metadata enrichment with human-in-the-loop governance.
02.
What data sources does Solidatus connect to?
Solidatus integrates with Snowflake, Databricks, Azure (Synapse, Data Factory, Purview), AWS (S3, Glue, Redshift), SQL Server, Oracle, Informatica, and dbt. It also works alongside data catalogs including Collibra, Alation, and Microsoft Purview.
03.
How does Solidatus differ from data catalog lineage?
Catalog-level lineage provides basic metadata indexing and technical impact analysis. Solidatus delivers advanced capabilities that catalogs lack: end-to-end cross-system lineage with auto-mapping, rules-based impact analysis, bi-temporal version control for audit trails and what-if scenarios, regulatory and policy overlays, and AI-powered lineage mapping with human-governed validation.
04.
How is Solidatus deployed?
Solidatus is available as a SaaS platform or can be deployed on-premises or in a private cloud environment to meet enterprise security and data residency requirements.
05.
How does Solidatus support regulatory compliance?
Solidatus provides purpose-built capabilities for regulations that require demonstrable data lineage and governance. For BCBS 239, it delivers end-to-end traceability from risk reports back to authoritative data sources with bi-temporal audit trails. For DORA, it maps critical data flows across ICT systems to support operational resilience testing and incident reporting. For the EU AI Act, it traces AI model inputs to their sources to establish the data provenance and documentation that the regulation requires.
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