Syntho

What is Syntho?

Syntho is a synthetic data platform, founded in 2020 in Amsterdam, for creating test and analytics data that mimics real data. It combines data masking, rule-based generation and AI-generated data so teams can work without exposing production records.

Key capabilities of Syntho

• Data masking: Sensitivity Scanner, synthetic mock data and consistent mapping.
• Rule-based generation: formula-based and pattern-based generation, and subsetting.
• AI-generated data: Quality Assurance Report, upsampling and an AI Assistant.
• Privacy Audit Report: documents the privacy properties of generated data.
• Foreign key management: keeps relationships between tables intact.
• Team collaboration and access control: controls who can generate and view data.

How Syntho works

Syntho connects to source and target databases through connectors, scans for sensitive columns, then generates synthetic data with the method you select. A REST API automates generation jobs, and the platform can run in your own environment so Syntho has no access to your data.

Who uses Syntho?

Test, data and engineering teams that need realistic data for software testing, analytics and AI training without exposing personal data.

Syntho pricing

Syntho describes pricing as having no usage-based fees or hidden costs. It does not list plan prices and directs visitors to book a demo.

Syntho alternatives

Argilla, Datasaur and Lightly are data-centric tools for labeling and curating real datasets, which is a different task from generating synthetic data. Syntho is the closer fit when the problem is privacy-safe test data.