Expert insights on synthetic data

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Transform sensitive text into AI-ready data on Microsoft Fabric

Tonic Textual for Microsoft Fabric enables fast, automated de-identification of sensitive unstructured text, helping teams create AI-ready datasets securely inside OneLake.

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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

How to mask sensitive data in files, from CSV to JSON

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

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

Tonic now offers a pay-as-you-go cloud-based solution

Product updates
Product updates
Tonic Structural

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
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.