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Brief
Privitar

Privitar

Privitar enables organizations to safely use sensitive data for analytics and sharing by providing automated de-identification, privacy engineering, and data provisioning capabilities that maintain compliance with global privacy regulations while preserving data utility.

privitar.comLondon, England, United KingdomFounded 2014

Last updated May 11, 2026 by the ATDb Editorial Team

Industry
Data Privacy & Governance
Business Model
SaaS
Target Market
Enterprise
Employee Count
201-500
Funding
$140M
Revenue Range
$10M-$50M
Stock Symbol
N/A
API Available
Yes
Market Position

Leading enterprise data privacy platform provider focused on privacy engineering and data provisioning

Overview

Privitar is a data privacy software company founded in 2014 that provides enterprise-grade data provisioning and privacy engineering solutions. The company helps organizations safely use sensitive data by providing de-identification, anonymization, and access control capabilities that enable compliant data sharing and analytics. While not a traditional AdTech company, Privitar plays an important role in the broader data ecosystem by helping organizations in advertising, marketing, and media manage consumer data in compliance with privacy regulations like GDPR, CCPA, and other data protection laws. Privitar's platform enables enterprises to provision privacy-enhanced data for analytics, machine learning, and data sharing use cases while maintaining regulatory compliance. The company serves major enterprises across financial services, healthcare, telecommunications, and retail sectors, helping them balance data utility with privacy protection. In the context of AdTech, Privitar's solutions are relevant for companies handling consumer data for advertising purposes, enabling them to derive insights while protecting individual privacy and meeting increasingly stringent data protection requirements.

Products & Features

Privitar Data Provisioning Platform

Core platform for automating privacy-enhanced data provisioning with de-identification, anonymization, and access controls

Privacy Engineering Cloud

Cloud-native solution for implementing privacy-by-design principles across data workflows

Data Access Management

Centralized access control and policy management for sensitive data across the enterprise

Key Features
Automated data de-identification and anonymizationPolicy-based data access controlsPrivacy risk assessment and monitoringData masking and tokenizationDifferential privacy techniquesSynthetic data generationPrivacy-preserving analyticsAudit trails and compliance reporting
Use Cases
Privacy-compliant data analyticsSafe data sharing with third partiesCross-border data transfersMachine learning on sensitive dataCustomer data monetizationRegulatory compliance (GDPR, CCPA, HIPAA)Data marketplace enablementPrivacy-preserving advertising and marketing analytics
Customer Segments
Financial ServicesHealthcare and Life SciencesTelecommunicationsRetail and E-commerceMedia and EntertainmentGovernment and Public SectorTechnology Companies

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