Tonic.ai

Founded by Ian Coe in 2018

Generate realistic, privacy-compliant synthetic data for development, testing, and AI model training.

Cost

Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Tonic.ai to create high-fidelity, de-identified versions of your production data, enabling secure and efficient software development, testing, and AI model training. By synthesizing structured and unstructured data, Tonic.ai helps you maintain data privacy and compliance while accelerating engineering workflows and improving model accuracy.

What Tonic.ai does

Generate synthetic datasets for testing environmentsDe-identify sensitive information in production dataSubset large databases for efficient development workflowsIntegrate synthetic data into CI/CD pipelinesMonitor data compliance with privacy regulationsConfigure data generation parameters to match production scenariosAutomate data provisioning for development and testing teamsAnalyze data quality and integrity of synthetic datasetsAutomated data synthesis for structured and unstructured dataAdvanced data de-identification and masking techniquesSeamless integration with existing databases and data lakesSupport for AI model training with privacy-compliant dataRealistic data generation preserving referential integrityScalable solutions for large datasets and complex environmentsCompliance with data privacy regulations like GDPR and HIPAAUser-friendly interface for managing data workflows

Pricing breakdown

PlanPrice10 seats / yr

Enterprise$0—

Annual estimates assume continuous billing at the listed list price. Volume discounts typical above 50 seats.

Tutorials & Demos

Frequently asked

AWS

Google Cloud

Microsoft Azure

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