Tonic.ai
De-identify production data into safe, realistic, referentially intact test databases.
What it is
Tonic connects to a production database, identifies sensitive fields, and produces a transformed copy that preserves distributions, formats and foreign-key relationships while removing the ability to re-identify individuals. It exists because copying production data to staging is both the most common way to get realistic test data and one of the most common serious privacy failures.
Best for
Where it is strong
- Preserves referential integrity and statistical distribution, so applications behave as they do in production.
- Directly addresses the GDPR and HIPAA exposure created by production data in lower environments.
- Subsetting produces a small but coherent slice rather than a full copy.
Where it falls short
- Expensive, with enterprise-only pricing.
- Initial configuration of sensitive-field classification takes real effort.
- Adds a pipeline stage that must be maintained as the schema evolves.
Pricing
Quote on request
Quote onlyFree tier: Free trial.
What drives the bill: Enterprise quote-based pricing by data volume and connected databases.
Check current pricing on Tonic.ai’s siteFigures are indicative and were last reviewed August 2026. Vendors change pricing often; confirm before you commit.
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