The data synthesis guides for software and AI teams

Featured guide

Customizing foreign key distribution in synthetic data with Tonic Fabricate

Learn how to configure foreign key distributions within synthetic data for nuanced control in test data generation. Read the step-by-step guide.

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Data de-identification
Data synthesis
Test data management
Data privacy in AI
AI model training
Developer productivity
Tonic Structural how-tos
Tonic Textual how-tos
Tonic Fabricate how-tos
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Read guide
Test Data Management

What is a database on demand?

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Tonic Ephemeral
Test Data Management
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Data privacy in AI

Safeguarding data privacy while using LLMs

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Tonic Textual
Data privacy in AI
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Data de-identification

What is data de-identification?

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Tonic Structural
Tonic Textual
Data de-identification
Read guide
Tonic Structural how-tos

How to create database subsets for Ephemeral environments

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Tonic Ephemeral
Tonic Structural
Tonic Structural how-tos
Read guide
Data privacy in AI

Understanding model memorization in machine learning

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Tonic Textual
Data privacy in AI
Read guide
Tonic Structural how-tos

Using Tonic Structural and the Safe Harbor method to de-identify PHI

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Tonic Structural
Tonic Structural how-tos

Make your sensitive data usable for testing and development.

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Accelerate development with high-quality, privacy-respecting synthetic test data from Tonic.ai.Boost development speed and maintain data privacy with Tonic.ai's synthetic data solutions, ensuring secure and efficient test environments.