PVML is a data security and governance platform that enables enterprise IT teams to create secure, AI-ready virtual databases on top of existing infrastructure without moving or duplicating data. The company positions its technology as analogous to VMware's virtualization of physical machines, but applied to databases. Core capabilities include: - Virtual database creation: IT teams can spin up unlimited virtual databases over existing data sources using live, zero-copy connectivity powered by Golang-based connectors - Security engine: Applies differential privacy, dynamic user-level permissions, and real-time access controls directly at the query layer, independent of native database controls - AI integration: Auto-generates AI-ready protocols (MCP, A2A, API) enabling virtual databases to connect directly to AI tools such as ChatGPT and Claude - Audit and observability: Centralized logging of every agent action, query, and response for governance and compliance purposes - Resource controls: Enforces availability and compute protections before queries reach production systems PVML targets enterprise IT and data teams dealing with challenges introduced by AI agents, including uncontrolled data access, unpredictable workloads, and fragmented governance across legacy systems. The platform supports use cases including AI-powered data analysis, data anonymization for cross-team collaboration, and privacy-preserving data monetization for third parties. Customers include organizations in fintech, insurance, and telecom sectors. The company has been recognized by Gartner and counts Accenture among its noted customers and partners.