PVML creates secure, AI-ready virtual databases on top of existing infrastructure without moving or duplicating data, enabling live connectivity to databases with permissions enforcement and AI integrations like ChatGPT or Claude.

Who is Pvml best for?

PVML is best for enterprise IT teams managing secure data access for AI agents, BI tools, and APIs across sensitive data sources.

Do I need to install anything to use Pvml?

No, PVML connects to your existing databases in 2 minutes without requiring data movement or infrastructure changes.

No free plan is listed. Pricing is not published; book a demo through the website.

Does Pvml offer a free trial or demo?

Yes, you can book a demo on the PVML website.

Does Pvml have a plan for teams or businesses?

Yes, PVML offers plans for enterprises and businesses, including integrations with IAM tools like Okta and Active Directory.

Does Pvml offer an API or integrations?

Yes, PVML generates AI-ready protocols including API, MCP, and A2A, and integrates with IAM tools and AI platforms.

How do I contact Pvml support?

You can book a demo or contact PVML through their website at pvml.com, or reach media contact Lazer Cohen at [email protected].

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Pvml

AI Infrastructure & MLOps+1Security & Privacy

A web platform for CIOs and IT teams to create secure virtual databases on existing infrastructure, enabling GenAI and analytics without moving or duplicating data.

Available Via:Web

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PVML is a web platform for CIOs and enterprise IT teams that virtualizes databases so organizations can connect data sources, control access, and support GenAI and analytics without moving or duplicating data.

Key capabilities include:

Unlimited virtual databases created on top of existing physical databases, designed to keep data in place while enabling collaboration.
Infrastructure-layer security and governance that applies dynamic, user-level permissions on queries before execution, independent of native database controls.
Differential privacy and real-time access control to support privacy-preserving analytics and data sharing.
AI integration and observability via auto-generated AI-ready protocols (MCP, A2A, API) plus centralized logging that records agent actions from query to response for audit trails.

Pricing: Unknown.

What makes it notable: PVML positions database virtualization as an infrastructure layer for context-aware guardrails, resource controls, and centralized auditability for AI agents and BI/API access, aiming to operationalize GenAI on existing systems while minimizing data exposure and avoiding data duplication.

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Who is Pvml best for?

Do I need to install anything to use Pvml?

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Does Pvml offer a free trial or demo?

Does Pvml have a plan for teams or businesses?

Does Pvml offer an API or integrations?

How do I contact Pvml support?

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