Expert insights on synthetic data

The lastest

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.

View post

Blog posts

Training effective models without the annotation budget

Test data management
Test data management
Generative AI
Technical deep dive
Tonic Textual

Tonic Textual + Haystack: Privacy-safe data for RAG pipelines

Product updates
Product updates
Data de-identification
Tonic Textual

Tonic Textual + LangChain: secure data for LLM applications

Product updates
Product updates
Data de-identification
Tonic Textual

Tonic Textual + MCP Server: PII-safe context for AI

Product updates
Product updates
Generative AI
Tonic Textual

Inference protection for LLMs: Keeping sensitive data out of AI workflows

Generative AI
Data privacy
Tonic Textual

How to de-identify financial documents with Tonic Textual

Data privacy
Generative AI
Financial services
Tonic Textual

Tonic Structural vs Informatica: Which is better for Test Data Management?

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

Informatica Test Data Management pros and cons: a complete guide

Test data management
Data de-identification
Tonic Structural
Tonic Fabricate

How to maximize HEDIS scores with synthetic data

Data de-identification
Data privacy
Healthcare
Tonic Structural
Tonic Textual
Tonic Fabricate

How to mitigate the risk of a data breach in non-production environments

Data privacy
Data de-identification
Tonic Fabricate
Tonic Structural
Tonic Textual

Introducing the Unstructured Data Catalog: From unknown text to usable data

Product updates
Tonic Textual

Data masking: DIY internal scripts or time to buy?

Data de-identification
Tonic Structural

Build better and faster with quality test data today.

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