Expert insights on synthetic data

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Training effective models without the annotation budget

Learn how to bypass costly annotation workflows by using LLM-generated labels and lightweight fine-tuning to build high-quality NER models with minimal human input.

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Blog posts

What President Biden’s executive order on safe, secure, and trustworthy artificial intelligence means for companies developing AI

Data privacy
Data privacy
Tonic Textual

Introducing Tonic Validate: a platform for streamlining RAG application development

Product updates
Product updates
Generative AI
Tonic Validate

Decoding generative AI’s privacy paradox

Data privacy
Data privacy
Tonic Textual

Test your apps with high-fidelity, production-like data with Release and Tonic.ai

Product updates
Product updates
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Build vs buy? Test data doesn’t have to be another in-house project

Test data management
Test data management
Data de-identification
Tonic Structural

How to diagnose test failures - and why your test data matters

Technical deep dive
Technical deep dive
Tonic Structural

The value of database subsetting

Test data management
Test data management
Tonic Structural

De-identifying data for software development and testing at enterprise scale

Data de-identification
Data de-identification
Test data management
Data privacy
Financial services
Tonic Structural

The ultimate guide to data masking in SQL Server

Data de-identification
Data de-identification
Test data management
Data privacy
Tonic Structural

We are excited to announce that Tonic.ai is now available on AWS Marketplace!

Product updates
Product updates
Tonic Structural
Tonic Textual

5 common data security challenges businesses face and how to overcome them

Data privacy
Data privacy
Data de-identification
Test data management
Tonic Structural

What is data subsetting? The art and science of only using the data you need

Test data management
Test data management
Data privacy
Tonic Structural

Build better and faster with quality test data today.

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