The data synthesis guides for software and AI teams

Featured guide

How to use Structural data and Claude Code for test automation

Learn how to pair Tonic Structural's de-identification capabilities with Claude Code's AI-powered development workflow to streamline test automation.

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Guide series
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

How to use Structural data and Claude Code for test automation

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Tonic Structural
Tonic Structural how-tos
Read guide

How to ensure test coverage for edge cases with representative data

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Tonic Structural
Tonic Textual
Tonic Fabricate
Test Data Management
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AI model training

How to develop AI training datasets for compliance and performance

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Tonic Textual
Tonic Fabricate
AI model training
Read guide
Data synthesis

Data synthesis for AI: A privacy-first approach

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Tonic Structural
Tonic Textual
Tonic Fabricate
Data synthesis
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AI model training

Secure data generation for AI model training

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Tonic Structural
Tonic Fabricate
Tonic Textual
AI model training
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Data privacy in AI

Preventing data breaches in AI systems

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Tonic Structural
Tonic Textual
Tonic Fabricate
Data privacy in AI

Make your sensitive data usable for testing and development.

Unblock data access, turbocharge development, and respect data privacy as a human right.
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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.