PVML

PVML is an enterprise data access platform that lets IT teams create secure, AI ready virtual databases on top of their existing data infrastructure without moving or duplicating a single row. The company describes the approach as virtualization for databases: each virtual database is a live, scoped view of one or more underlying sources, with user level permissions and availability protections applied to the query before it reaches the production system. The result is a governed layer that AI agents, BI tools and APIs can query without inheriting the raw permissions of the systems underneath. It is aimed at enterprise IT, security and data teams that want to expose internal data to generative AI and autonomous agents while keeping control. Connectors written in Go provide live connectivity to any database with zero data movement. A security engine applies scope and permissions to every agent query in real time and adds differential privacy for anonymized analysis and sharing. Each virtual database automatically generates AI ready interfaces, including MCP, A2A and API endpoints, so it can be plugged into ChatGPT, Claude and similar assistants. Resource and cost controls limit unpredictable agent load, and every action from query to response is logged for audit. Published use cases cover conversational analysis of live data, anonymization for collaboration between business units, and privacy preserving data monetization. PVML does not publish pricing. The site has no pricing page; engagements begin with a booked demo, and terms are quoted for each enterprise. In 2025 the company announced a collaboration with VisionWave on secure, real time AI for defense operations, an indicator of the regulated environments it targets.