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Brief

Tonic.ai

Data Privacy & Synthetic Data (Not AdTech)

Enables organizations to safely use production-like data for development, testing, and analytics while maintaining privacy compliance and protecting sensitive information through de-identification and synthetic data generation.

Last updated Jun 23, 2026 by ATDb automated enrichment

Founded
2018
HQ
San Francisco, California, United States
Connections
3

At a glance

Employees
51-200
Funding
$107M
3integrations

About

Leading provider of synthetic data and data de-identification solutions for enterprise development and testing environments

Tonic.ai is a data privacy and synthetic data company, not an AdTech company. Founded in 2018, Tonic specializes in helping organizations de-identify sensitive data and generate realistic synthetic data for non-production environments. The company's platform enables engineering, data science, and QA teams to work with production-like data while maintaining privacy compliance and security standards. Tonic.ai serves enterprises across various industries including healthcare, financial services, and technology companies that need to balance data utility with privacy requirements. The company has raised significant venture funding and has established itself as a leader in the synthetic data and data masking space, competing with both legacy data masking solutions and newer synthetic data providers.

Business model

SaaS

Target market

Enterprise

What they offer

  • Tonic Structural

    De-identifies and generates synthetic data for relational databases

  • Tonic Textual

    Redacts and synthesizes unstructured text data using NLP and ML

  • Tonic Ephemeral

    Provides on-demand, temporary database environments for development and testing

Key features

Automated data de-identificationSynthetic data generationReferential integrity preservationSubsetting and maskingDatabase provisioningPII detection and redactionUnstructured data synthesis

Use cases

Development and testing environmentsData sharing with third partiesAnalytics and business intelligenceMachine learning model trainingCompliance with privacy regulationsCloud migration projects

Customer segments

Enterprise technology companiesFinancial servicesHealthcare organizationsSaaS companiesE-commerce platforms

Tech & specs

Technology stack

PythonPostgreSQLKubernetesDockerMachine LearningNatural Language Processing

Security & compliance

SOC 2 Type IIGDPRHIPAACCPA

Deployment

CloudOn-premiseHybrid

API

Yes

Corporate history
  1. 2018 · Founded
Connection details

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