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Strategy Mosaic is a universal semantic layer. It gives banks, lenders, capital-markets firms, asset managers, and insurers a governed way to define and reuse business metrics, relationships, hierarchies, and access policies across data platforms, BI tools, applications, APIs, and AI agents.

A warehouse or lakehouse stores and processes data. Mosaic governs what that data means, how it should be calculated, which relationships are approved, and who is permitted to see each result. It works across your existing storage and cloud platforms rather than asking you to replace them.

Yes. Mosaic is built to sit above mixed data and analytics environments, so you can reuse governed business logic across major cloud, database, lakehouse, BI, application, and AI ecosystems.

Mosaic gives AI agents certified metrics, approved relationships, reusable query logic, and user-aware security context. That reduces how often a model has to infer business meaning directly from raw schemas, a common cause of text-to-SQL hallucinations: SQL that runs successfully but applies the wrong business rule. With governed context in place, you move closer to trusted AI, where the answer follows the approved definition.

No. Mosaic can query data where it resides and operate within approved public-cloud, private-cloud, or customer-managed architectures. Deployment design depends on your data platforms, security requirements, and operating model.

Mosaic centralizes approved definitions, applies role and data-access controls, preserves lineage, validates query behavior, and shows you who accessed what. That supports AI data governance and audit readiness, though it does not replace your legal, compliance, risk, or control processes.

Yes. Many organizations begin with a high-value domain such as branch performance, lending operations, liquidity reporting, portfolio analytics, or claims processing. The governed foundation can then expand to adjacent workflows without rebuilding the same metrics and policies.

Mosaic keeps business logic independent from any single warehouse, BI tool, cloud, or model provider. You can modernize your technology stack while preserving the governed definitions that users and applications rely on.

Trusted AI starts with governed context

Standardize the metrics that matter, then reuse them everywhere.