Expert insights on synthetic data
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From off-limits to AI-Ready: Preparing unstructured data directly in Microsoft Fabric with Tonic Textual
Tonic Textual on Microsoft Fabric enables teams to detect, de-identify, and synthesize sensitive unstructured data directly in OneLake, making it safe and usable for AI workflows.
From off-limits to AI-Ready: Preparing unstructured data directly in Microsoft Fabric with Tonic Textual
Product updates
How redaction software can help government agencies comply with FOIA
Data de-identification
Training effective models without the annotation budget
Test data management
Tonic Textual + Haystack: Privacy-safe data for RAG pipelines
Product updates
Tonic Textual + LangChain: secure data for LLM applications
Product updates
Tonic Textual + MCP Server: PII-safe context for AI
Product updates
Inference protection for LLMs: Keeping sensitive data out of AI workflows
How to de-identify financial documents with Tonic Textual
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Tonic Structural vs Informatica: Which is better for Test Data Management?
Test data management
Informatica Test Data Management pros and cons: a complete guide
How to maximize HEDIS scores with synthetic data
How to mitigate the risk of a data breach in non-production environments
Build better and faster with quality test data today.
Unblock data access, turbocharge development, and respect data privacy as a human right.