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Lead AI Innovation
Without Data
Privacy Risks
Without Data
Privacy Risks
Use the PVML privacy-first data infrastructure to effortlessly build secure and scalable AI. Safely expose PII to AI, enable Secure RAG, ensure full compliance, and prevent vendor lock-in – all while maximizing the full potential of AI-driven innovation.

The Privacy-First
Data Infrastructure
for Secure & Scalable AI
A unified platform that transforms enterprise data into a
secure and flexible foundation for AI and analytics. No
matter where your data is stored or how it s accessed
(BI, API, AI) PVML streamlines permissions management,
monitoring, and best-in-class privacy enforcement –
empowering enterprises to unlock AI s full potential with
complete security and control.
Agnostic & Flexible
Architecture
With a 3-way agnostic architecture, PVML empowers enterprises to connect any data source, use any access method (AI, BI, or API), and swap AI models freely eliminating vendor lock-in and enabling scalable and flexible AI adoption. All without installation, data movement, duplication, or workflow modifications.
Differential Privacy Data
Protection Engine
PVMLs proprietary Privacy Engine leverages the mathematical framework of Differential Privacy (DP) to enforce permissions and privacy policies at the computation level in real time. As the only privacy-preserving technology recognized by AI data regulations, with PVML, enterprises can securely extract AI driven insights, unify access policies, and maintain compliance – without compromising privacy or scalability.
GenAI Optimization
Module
PVML provides a secure, structured, and efficient AI pipeline, featuring an automatically generated Semantic and Behavioral Layer to improve model context, enable secure RAG integration, model flexibility, and builtin auditability. With PVML, enterprises can scale AI confidently while maintaining privacy, security, and control.
Security and Compliance
PVML provides a secure foundation that allows you to push the boundaries. We undergo strict external audits to ensure our solution adheres to the highest standards of privacy and security.

Future Proof Your AI Innovation with PVML
Privacy
Protection &
Compliance
Privacy Protection & Regulatory Compliance – Maintain complete control over permissions, access, and auditability while ensuring compliance with the highest data privacy standards.
Improved Efficiency
Reduce costs and accelerate time-to-value by streamlining AI and data access without unnecessary data duplication or manual configurations.
Flexibility to Innovate
Stay ahead of the curve and avoid vendor lock-in by seamlessly adopting new AI models, tools, and data sources.
Visibility & Control
Manage all data access, permissions, and privacy policies from a single, centralized system for complete governance, audit and security.
Optimized AI
I accuracy and reliability
with contextualized data, Secure
RAG, intelligent prompt
engineering and complete audit.
with contextualized data, Secure
RAG, intelligent prompt
engineering and complete audit.
Broader Data Access
Unlock previously restricted data, safely expand AI access across
teams, and enable secure third-party collaboration.Information (PII).
teams, and enable secure third-party collaboration.Information (PII).
Use Cases

Analyze Data with AI
Unlocking access with AI requires strong privacy
capabilities, ability to analyze live data and guarantees
that results are trustworthy and based on the data.
With PVML, you can enforce permissions on live chats,
empower your users to analyze data in real time using
free text and see how results were generated for explainability.
Read about our case study featuring a fintech company
that sped up time to insight by giving employees access
to a live chat with their data.

Anonymization
Sharing data between business units poses challenges
due to different data-owners, multiple data sources, and
various security concerns.
With the integration of PVML’s data access platform, all
data sources can be centralized, promoting collaboration
across business units without compromising privacy.
Read about our case study featuring an insurance company
that enhanced the quality and speed of business insights by
unlocking internal collaboration.

Monetization
Monetizing data requires strong privacy guarantees to
ensure trust and compliance, but also convenient ways
for the 3rd parties to extract value from this data.
Our platform allows companies to monetize insights
derived from data without risking customers’ privacy,
alongside both AI-based options to analyze the data.
Read about our case study with a telecom company
seeking for privacy-preserving ways of sharing insights
from data with non-technical 3rd parties.