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Find the plan that
works for you
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Secure data transformation for software and AI developers
Accelerate engineering velocity and ensure compliance with realistic data de-identification for structured and unstructured data
See how it works
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Generate secure and scalable synthetic data, when you need it, where you need it
Structural
Fix your lower environments
Bring an end to critical bugs in production and accelerate your release cycles by fueling your staging and QA environments with synthetic data that mirrors the complexity of production.
Ephemeral
Automate data provisioning
Get rapid access to isolated test datasets that are fully representative of production, subset down for efficiency, and spun up with ease, as often as you need.
Textual
Optimize unstructured data for RAG and LLMs
Eliminate integration and privacy challenges ahead of RAG ingestion or LLM training by transforming your unstructured data into generative AI-ready formats.
Validate
Maximize RAG application performance
Track and enhance RAG system performance over time with real-time monitoring and benchmarking to ensure the accuracy of your RAG responses.
Deliver the value of realistic synthetic data across your organization
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Deploy Tonic
Deploy a self-hosted instance of Tonic, or work with your generated data in Tonic Cloud.
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Connect to your data
Tonic integrates with all the leading relational and NoSQL databases, data warehouses, and file types.
View connection documentation3
Transform your data via realistic masking and synthesis
Automatically identify sensitive data types and realistically mask or synthesis net new values that maintain consistency and preserve relationships across your database
View generator documentation4
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Distribute safe, realistic synthetic data to your team, refreshed on demand.
Provision your synthetic test data via container repos or by spinning up a net new database, as often as you need.
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Build better and faster with quality test data today.
Unblock data access, turbocharge development, and respect data privacy as a human right.
