Description
🖼️ Tool Name:
PVML
🔖 Tool Category:
Data Preparation & Cleaning / Integrations & APIs — it serves as a secure AI-centric data access and infrastructure layer that enforces privacy and governance while enabling analytics and agentic workflows on top of sensitive datasets.
✏️ What does this tool offer?
PVML is a data infrastructure platform designed to allow organizations to safely query, analyze, and use sensitive internal data with AI, while preserving privacy and maintaining strict governance. It connects to multiple data sources without duplicating data and applies privacy safeguards like differential privacy in real time.
⭐ What does the tool actually deliver based on user experience?
• Enables users to ask questions of internal data using natural language (free text), with responses based on real data queries.
• Enforces output-level privacy protections like differential privacy, masking, and filtering per access policies.
• No need to move or duplicate data — PVML connects to existing data sources (databases, data warehouses) in situ.
• Audit logs and monitoring of every agent/user action for compliance and traceability.
• Centralized permission management, integration with identity systems (IAM), and dynamic access scoping.
• Mitigation of hallucinations by translating user queries into verifiable database queries.
🤖 Does it include automation?
Yes — PVML automates:
• Query translation: converting natural language prompts into secure database queries.
• Privacy enforcement: dynamic differential privacy and filtering on the outputs, automatically applied per policy.
• Data access orchestration: routing queries to underlying sources without data replication.
• Governance, logging, and monitoring of data usage automatically.
💰 Pricing Model:
Enterprise / custom pricing (not publicly disclosed).
🆓 Free Plan Details:
Not publicly available; likely access is via demo or enterprise contracts.
💳 Paid Plan Details:
Scaling with volume, compliance needs, and deployment scope (number of data sources, users, privacy features).
🧭 Access Method:
• Via connectors to data sources (databases, warehouses) — no data duplication.
• Through an interface or API that accepts natural language queries or SQL, depending on user’s role.
• Integrated with identity / IAM systems for permissioning.
🔗 Experience Link: