# Tonic.ai

> Synthetic data platform for generating, de-identifying, and subsetting structured and unstructured data for software development, testing, and AI model training.

Tonic.ai is a synthetic data platform that gives engineering and AI teams safe, realistic data for software development, testing, and AI model training. It consists of three products: Tonic Fabricate, Tonic Structural, and Tonic Textual. Tonic.ai was founded in 2018 and is headquartered in San Francisco.

## What It Is

Tonic.ai is a data synthesis and de-identification platform. Teams use it to generate, mask, subset, and redact data so that development, QA, and AI workflows do not need to touch raw sensitive production data. Each product addresses a different data type, and the company says many organizations use them together.

## The Three Products

- **Tonic Fabricate** generates synthetic relational databases, unstructured files, and mock APIs from scratch or modeled on an existing database. Users describe the data they want via a chat-based Data Agent, a SQL DDL, a schema, or sample data. Output can be exported as CSV, XML, SQL, or JSON, or pushed directly into a database.
- **Tonic Structural** connects to production databases and applies masking, de-identification, subsetting, and synthesis for structured and semi-structured data, preserving schema and referential integrity. It supports sources such as PostgreSQL, MySQL, Oracle, SQL Server, Snowflake, Databricks, and MongoDB.
- **Tonic Textual** detects, redacts, and synthesizes sensitive information in free text, documents, PDFs, images, and other files using named entity recognition models, with support for custom entity types and a Python SDK.

## Where It Fits

The vendor positions the platform for app development, testing and QA, compliance, model training, and LLM privacy workflows, with dedicated pages for healthcare and financial services. It states support for HIPAA, PCI, GDPR, and SOC 2 compliance, and Structural can be wired into data refresh and CI/CD pipelines.

## Deployment and Access

Products are accessed through web applications with separate logins, plus documentation, a Textual Python SDK, a Structural API reference, and open-source libraries on GitHub. Customer case studies on the site are vendor-published claims.

## Features
- Synthetic data generation from scratch
- AI Data Agent for chat-based dataset creation
- Mock API creation
- Data masking and de-identification
- Data subsetting with referential integrity
- Sensitive data discovery and classification
- Unstructured data redaction and synthesis
- Custom named entity models
- Guided redaction
- HIPAA Expert Determination option
- Export to CSV, XML, SQL, JSON

## Integrations
PostgreSQL, MySQL, Oracle, SQL Server, MariaDB, Amazon RDS, Google Cloud SQL, Snowflake, Databricks, MongoDB, Microsoft Fabric, Claude Code

## Platforms
WINDOWS, MACOS, LINUX, WEB, API, DEVELOPER_SDK

## Pricing
Freemium — Free tier available with paid upgrades

## Links
- Website: https://www.tonic.ai
- Documentation: https://www.tonic.ai/docs
- Repository: https://github.com/TonicAI
- EveryDev.ai: https://www.everydev.ai/tools/tonic-ai