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Data Governance

Tonic.ai

Synthetic and de-identified data for software testing and AI

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About Tonic.ai

Tonic.ai provides tools that generate synthetic data and mask sensitive production data so engineers can build, test and train models without exposing real personal information. Its products cover structured databases, unstructured text and mock data generation.

Common use cases

  • Create safe test data
  • Redact documents for AI
  • Share data without exposure

Products and services

Tonic Structural

De-identifies and subsets relational and other database data.

Tonic Textual

Detects and redacts sensitive data in unstructured text.

Tonic Fabricate

Generates synthetic data from scratch.

Key features

  • Data masking
  • Synthetic data generation
  • Subsetting
  • Sensitive text redaction
  • Referential integrity
  • CI/CD integration

Integrations

  • PostgreSQL
  • Snowflake
  • Databricks
  • MongoDB
  • Amazon Web Services
  • Oracle
  • Salesforce

Tonic.ai alternatives

FAQs

What does Tonic.ai generate?

Masked production-like data and fully synthetic data.

Does it handle unstructured data?

Yes, through Tonic Textual.

Who is it for?

Engineering and AI teams that need realistic non-production data.

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