PVML

Experience the freedom of real-time analytics and the power of data sharing, all while ensuring unparalleled privacy

PVML gives IT and data teams a way to let AI agents and analytics tools query core business data without moving or copying it out of existing systems. The product spins up secure, AI-ready virtual databases on top of a company's current infrastructure, adding built-in security and access controls so CIOs can operationalize generative AI without duplicating sensitive records. It is positioned for finance, healthcare, and research teams among others, matching this directory's finance category.

The company frames the problem as one of trust: as AI agents inherit user permissions and act autonomously, the risk of data leakage, uncontrolled compute spend, and blind spots in oversight grows, because agents often operate across siloed legacy systems with no unified identity model or audit trail. PVML describes its approach as doing for databases what virtualization once did for physical machines, letting IT teams create as many controlled, queryable virtual databases as they need instead of exposing raw data directly to AI systems.

There is no public pricing listed; interested teams book a demo directly, which points to an enterprise sales model. Teams weighing how to give AI systems safer access to their existing data can book a demo to see the virtual database approach in action.

Category: Finance. Pricing: enterprise. Visit website

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