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

Questions to ask when selecting a Test Data Management service

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Tonic Structural
Test Data Management
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Data de-identification

Data masking: DIY internal scripts or time to buy?

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Tonic Structural
Data de-identification
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Developer productivity

Data in action: how quality data can revolutionize the financial industry

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Tonic Structural
Tonic Textual
Tonic Fabricate
Developer productivity
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Data privacy in AI

AI in healthcare: data privacy and ethics concerns

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Tonic Structural
Tonic Textual
Data privacy in AI
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Test Data Management

How to gather test data for testing purposes: a guide

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Tonic Structural
Tonic Textual
Tonic Fabricate
Test Data Management
Read guide
Developer productivity

Data in action: how quality data can transform the healthcare industry

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Tonic Structural
Tonic Textual
Tonic Fabricate
Developer productivity

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.