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

Tonic x Shipyard: a modern platform for secure, agile testing

Product updates
Product updates
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Using data upsert to optimize test data management

Test data management
Test data management
Tonic Structural

Elevating RAG system reliability: integration testing with Tonic Validate & LlamaIndex

Technical deep dive
Technical deep dive
Tonic Validate

How 2024 will impact DevOps teams

Tonic.ai editorial
Tonic.ai editorial
Tonic Structural

Tonic Textual: Document redaction to de-identify PDFs and Word docs

Data de-identification
Data de-identification
Data privacy
Generative AI
Tonic Textual

How 2024 will impact quality engineering teams

Tonic.ai editorial
Tonic.ai editorial
Test data management
Tonic Structural

Redacting sensitive free-text data: Build vs buy

Technical deep dive
Technical deep dive
Tonic Textual

Introducing Tonic Textual: redact and synthesize sensitive free-text data

Product updates
Product updates
Data de-identification
Generative AI
Data privacy
Data synthesis
Tonic Textual

RAG evaluation series: validating the RAG performance of LangChain vs Haystack

Technical deep dive
Technical deep dive
Tonic Validate

Unlocking secure data utility: the Tonic.ai and Databricks partnership and integration

Product updates
Product updates
Tonic Structural

RAG evaluation series: validating the RAG performance of OpenAI vs LlamaIndex

Technical deep dive
Technical deep dive
Tonic Validate

RAG evaluation series: validating OpenAI Assistant’s RAG performance

Technical deep dive
Technical deep dive
Tonic Validate