Go beyond ‘Trustworthy AI.’ Build provable AI.
Solidatus provides the complete, auditable lineage you need to prove compliance, predict the impact of change, and protect your most valuable AI initiatives from risk.
Platform Capabilities
AI without proof is a liability
Map the complete journey
We deliver complete, business-context-rich lineage across your entire data estate. Solidatus maps what gets missed elsewhere: the full business context, including the processes, policies, and people involved. This includes capturing the full chain of actions and prompts in Agentic AI workflows, making them finally auditable and explainable.
Simulate the future, recreate the past
With bi-temporal lineage, you can recreate the exact data state used for training at any point in time, which is essential for auditability. More importantly, you can simulate the downstream impact of a data or schema change before it happens, preventing the silent model degradation that can quietly destroy your ROI.
Add business context to Your AI
Tag datasets with AI-specific trust and risk scores to control what enters your AI pipelines. Link your data to usage permissions and regulatory constraints to ensure models only use allowable data. Identify the responsible parties for every AI data dependency to enable faster remediation when issues arise.
AI regulations
The EU AI Act, Californian AI regulations and others increasingly require compliance around your use of AI.
With Solidatus as a foundational basis, you’ll be able to show where AI is used, as well as prove the trust and risk levels of AI and datasets.
Bringing it to life: example scenario of Solidatus for AI
A business wants to understand the risk and trust levels of AI and start preparing their data to be AI ready. With Solidatus they gain more trust in the source and use of datasets, full visibility into where AI is being used and which systems use data from AI. Additionally, as their teams tag the AI models and datasets with risk and trust scores, Solidatus does calculations that help them understand their trust levels and risk.
A different company has a live AI model that has been deployed to help calculate mortgage products. When someone makes a change, the AI model begins making poor decisions. The company discovers that the AI model had been trained on a dataset with the address input form with 3 lines. A department changed it to 2 lines, unaware of the impact, so the model didn’t know how to interpret it. How Solidatus helps:
- By assigning ownership, they can trace back to the relevant system and resolve the issues with the owners
- It helps document the complete flow, allowing teams to trace back from the AI model use case to understand its lineage
- By using the bi-temporal view, which can show the future impact for all such decisions, the business would have been able to see the impact on AI models prior to making the change – thus preventing the failure.
Want to see how Solidatus can support your AI initiatives?
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Find out about the role of AI and advanced data lineage as AI reshapes the future of business
Unveiling the Path: Why Data Lineage is Crucial for Building Effective AI Products
Read more about data lineage and its business impact, including on AI, BCBS 239 and more
Solidatus & Microsoft Purview: Elevating Data Governance in the AI Era
Solidatus data lineage partners with Microsoft Purview to help enterprises trust their data
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