The data synthesis guides for software and AI teams

Featured guide

PII compliance checklist: how to protect private data

Use this PII data compliance checklist to protect private data, meet regulatory standards, and reduce the risk of data breaches. Discover more on our blog.

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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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Test Data Management

The importance of using reliable datasets for testing, QA, and development

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Tonic Structural
Tonic Ephemeral
Test Data Management
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AI model training

A comprehensive guide to ethical fine-tuning of Large Language Models

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Tonic Textual
AI model training
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Data privacy in AI

Privacy by Design in generative AI: building secure and trustworthy AI systems

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Tonic Textual
Data privacy in AI
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Developer productivity

How secure, high-quality data can accelerate your time to market

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Tonic Structural
Tonic Textual
Tonic Ephemeral
Tonic Fabricate
Developer productivity
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Data synthesis

Advanced techniques for generating synthetic test data

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Tonic Structural
Tonic Textual
Tonic Fabricate
Data synthesis
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Tonic Structural how-tos

Creating an enterprise test data strategy with Tonic Structural

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Tonic Structural
Tonic Ephemeral
Tonic Fabricate
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.