PVML

What PVML Does

PVML is a data access platform that enables IT teams to spin up unlimited secure, AI-ready virtual databases on top of existing infrastructure – without moving or duplicating a single row of data. Just as VMware virtualized physical machines, PVML virtualizes databases, providing infrastructure-layer security, deterministic guardrails, and unified governance for enterprise data operations in the AI era.

The Problem PVML Solves

As AI agents and autonomous systems reshape enterprise IT, traditional data access controls fall short. AI enables machine-scale execution with unpredictable load patterns, creating exposure risks, identity context limitations, resource exhaustion, and observability gaps across siloed legacy systems. Organizations face the challenge of enabling AI innovation while maintaining security, compliance, and operational stability.

Key Features & Capabilities

• Virtual Database Infrastructure: Create unlimited virtual databases with live connectivity to any data source, zero data movement, and high-performance Golang connectors
• Differential Privacy Security Engine: Apply dynamic user-level permissions and mathematical guardrails directly on queries before database execution, preventing unauthorized access and data leakage
• AI Protocol Generation: Auto-generate AI-ready protocols (MCP, A2A, API) that plug directly into ChatGPT, Claude, and other AI systems
• Resource & Cost Control: Manage unpredictable AI agent loads with availability protections that prevent outages and uncontrolled compute spend
• Centralized Governance: Every virtual database is centrally defined and audited, delivering unified visibility, consistent policy enforcement, and full audit trails
• Data Stack Agnostic: Works with any database without vendor lock-in

Who It's For & Use Cases

PVML serves enterprise IT teams, data engineers, and security leaders who need to enable AI access to sensitive data while maintaining compliance and control. Primary use cases include:

• AI Data Analysis: Enable employees to analyze live data in real-time using natural language while enforcing permissions
• Cross-Business Collaboration: Share data between business units with different owners and security concerns while preserving privacy
• Data Monetization: Safely share insights with third parties while maintaining mathematical privacy guarantees
• Regulatory Compliance: Meet the highest data privacy standards including GDPR and financial regulations

What Sets PVML Apart

PVML's proprietary differential privacy technology offers mathematically guaranteed privacy protection with no computational overhead, unlike homomorphic encryption. The platform provides beyond state-of-the-art algorithmic capabilities that produce privacy-preserving results with higher accuracy than existing solutions, while remaining seamlessly applicable across industries including healthcare, finance, and telecommunications. Organizations gain faster AI rollouts, flexibility to adopt new models without lock-in, and the ability to unlock previously restricted data for secure AI access.