Tonic Textual + Microsoft Fabric

Now in private preview: Unlock unstructured data with Tonic Textual on Microsoft Fabric

Bring de-identified, AI-ready text directly into Microsoft Fabric for privacy-protected model training.

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Bring safe, AI-ready text straight into your Fabric workflows 

Use Tonic Textual in Microsoft Fabric to instantly redact sensitive entities, de-identify unstructured text, and pipe compliant data directly into your AI workflows. Accelerate time to insight, strengthen compliance, and put more of your data to work where it matters most.

Bring an end to critical bugs in production and accelerate your release cycles by fueling your staging and QA environments with data that mirrors the complexity of production.

Privacy-compliant enterprise AI

Build and scale AI initiatives in Microsoft Fabric with actionable data that’s privacy-protected data and compliance-proof.

Bring an end to critical bugs in production and accelerate your release cycles by fueling your staging and QA environments with data that mirrors the complexity of production.

Unstructured data ingestion

Seamlessly ingest PDFs, transcripts, and other unstructured text from Microsoft OneLake, and sanitize them into AI-ready datasets.

Bring an end to critical bugs in production and accelerate your release cycles by fueling your staging and QA environments with data that mirrors the complexity of production.

Realistic data synthesis

Generate high-fidelity synthetic replacements for sensitive information, preserving context without exposing risk.

Bring an end to critical bugs in production and accelerate your release cycles by fueling your staging and QA environments with data that mirrors the complexity of production.

Consistent data de-identification

Apply entity recognition uniformly across your Fabric pipelines to ensure accuracy and compliance at scale.

1

In Microsoft Fabric, open the Tonic Textual workload and create a Tonic Textual Item (one item per folder of files).

2

Select the OneLake folder containing the files (PDF, DOCX, etc.) to process.

3
  1. Choose an output OneLake folder for storing the de-identified files.

  1. Choose an output OneLake folder for storing the de-identified files.

Choose an output OneLake folder for storing the de-identified files.

4

Configure de-identification settings (select entity types, redact or synthesize).

5

Process the files to create de-identified versions.

6

Review the results in the output folder.

7
  1. If needed, adjust settings and reprocess.
  1. If needed, adjust settings and reprocess.
  1. If needed, adjust settings and reprocess.

If needed, adjust settings and reprocess.

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Accelerate your AI workflows on Microsoft Fabric

De-identify and activate your text-based data with Tonic Textual.
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.

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