PVML virtualizes databases for AI access. It connects multiple data sources without duplication, enforces permissions and differential privacy on live data, and generates AI-ready protocols for platforms like ChatGPT or Claude. Administrators monitor queries, control access centrally, and audit actions. Users query data via free text, SQL, or BI tools with real-time privacy applied at the output level. The platform integrates with IAM tools and requires no data movement or infrastructure changes.
Enables quick database connection in 2 minutes without infrastructure changes
Provides centralized view for monitoring queries and permissions
Applies differential privacy automatically at output for higher accuracy
Requires admin setup for connection strings and permissions
Dependent on supported IAM integrations for full access control
Limited to databases compatible with Golang connectors
