Expert insights on synthetic data

The latest

De-identifying and synthesizing healthcare PDFs of patient lab reports for model training and Expert Determination

PDFs are the hardest healthcare data to de-identify. Here is how Tonic Textual identifies PHI in lab reports and synthesizes realistic replacements for Expert Determination.

Blog posts

Your data, your model: Self-serve custom entity types in Tonic Textual

Product updates
Product updates
Generative AI
Data privacy
Tonic Textual

Tonic.ai product updates: October 2025

Product updates
Product updates
Tonic.ai editorial
Tonic Fabricate
Tonic Structural
Tonic Textual

Preventing training data leakage in AI systems

Generative AI
Generative AI
Tonic Textual

Best practices for AI model optimization without risking privacy

Generative AI
Data privacy
Generative AI
Tonic Textual

Navigating the European Union AI Act

Data privacy
Generative AI
Data privacy
Tonic Structural
Tonic Textual
Tonic Fabricate

Tonic.ai + Microsoft: Accelerating AI adoption with privacy-compliant synthetic data

Product updates
Product updates
Tonic Structural
Tonic Textual
Tonic Fabricate

Turn sensitive data into safe AI assets with Tonic Textual in Amazon SageMaker Unified Studio

Generative AI
Generative AI
Data de-identification
Tonic Textual

Tonic Textual on Microsoft Fabric: Now in private preview

Generative AI
Generative AI
Tonic Textual

How to comply with the NSD's Data Security Program

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

Ensuring data compliance in AI chatbots & RAG systems

Generative AI
Generative AI
Tonic Textual

How to de-identify insurance claims and documents with Tonic Textual

Data de-identification
Data de-identification
Tonic Textual

How to implement data masking to comply with ISO 27001

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