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Brief
Privitar

Privitar

Data Privacy & Governanceprivitar.com

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.

Last updated Jun 23, 2026 by the ATDb Editorial Team

Founded
2014
HQ
London, England, United Kingdom
Connections
7

At a glance

Employees
201-500
Funding
$140M
Revenue
$10M-$50M
Stock
N/A
6integrations1competitors

About

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

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.

Business model

SaaS

Target market

Enterprise

What they offer

  • 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

Tech & specs

Technology stack

Cloud-native architectureKubernetesApache SparkREST APIsPythonJava

Security & compliance

SOC 2 Type IIISO 27001GDPRCCPAHIPAALGPDPDPA

Deployment

CloudOn-premiseHybrid

API

Yes

Corporate history
  1. 2014 · Founded
See integrations with Privitar (6)

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