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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Data de-identification

Data de-identification in the healthcare industry

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Tonic Structural
Tonic Textual
Data de-identification
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Data de-identification

Static vs dynamic data masking

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Tonic Structural
Data de-identification
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Data de-identification

Data anonymization: a guide for developers

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

De-identifying your unstructured data in Databricks with Tonic Textual

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Tonic Textual
Tonic Textual how-tos
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AI model training

Quickly building training datasets for NLP applications

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Tonic Textual
Tonic Fabricate
AI model training
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Data synthesis

How to generate synthetic data: a comprehensive guide

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Tonic Structural
Tonic Textual
Tonic Fabricate
Data synthesis

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.