The data synthesis guides for software and AI teams

Featured guide

How to develop AI training datasets for compliance and performance

Explore strategies for balancing the compliance and performance of your AI training datasets. Learn how to manage data securely while optimizing accuracy and efficiency.

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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

Data masking’s role in leveraging production data for testing and development

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Tonic Structural
Test Data Management
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Tonic Fabricate how-tos

Uploading and referencing production data in a synthetic dataset, with Tonic Fabricate

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Tonic Fabricate
Tonic Fabricate how-tos
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Tonic Fabricate how-tos

Customizing foreign key distribution in synthetic data with Tonic Fabricate

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Tonic Fabricate
Tonic Fabricate how-tos
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Data de-identification

Data masking for government agencies: a guide

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

How to mask data in Snowflake: a step-by-step guide

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Tonic Structural
Tonic Structural how-tos
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Developer productivity

Build vs buy: your guide to finding scalable, efficient test data solutions

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Tonic Structural
Developer productivity

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.