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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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RAG evaluation series: validating the RAG performance of OpenAI’s RAG Assistant vs Google’s Vertex Search and Conversation

Technical deep dive
Technical deep dive
Tonic Validate

RAG evaluation series: validating the RAG performance of Amazon Titan vs Cohere using Amazon Bedrock

Technical deep dive
Technical deep dive
Tonic Validate

Leveling up your test environments with OCI artifacts

Technical deep dive
Technical deep dive
Tonic Structural

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
Tonic Textual

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

Technical deep dive
Technical deep dive
Tonic Validate

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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.