Secure data transformation for software and AI developers

Accelerate engineering velocity and ensure compliance with realistic data de-identification for structured and unstructured data

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Generate secure and scalable synthetic data, when you need it, where you need it

Bring an end to critical bugs in production and accelerate your release cycles by fueling your staging and QA environments with data that mirrors the complexity of production.

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.

Trusted by engineering teams throughout the world

Senthil Padmanabhan

Technical Fellow, VP of Eng

“Tonic has an intuitive, powerful platform for generating realistic, safe data for development and testing. Tonic has helped eBay streamline the very challenging problem of representing the complexities contained within Petabytes of data distributed across many environments."

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Subset size reduction

Sebastian Kowalczyk

Senior DevOps Engineer

“With Tonic, we’ve shortened our build process from 60 minutes down to 20. Their subsetting and de-identification tools are a critical part of Everlywell’s development cycle, making it easy for us to get data down to a useful size and giving me confidence it’s protected throughout."

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Faster release cycles

Jordan Stone

VP of Engineering

"If I think about what it would cost for us to build something even remotely viable for us to solve our test data problem in the way that Tonic has solved it for us, it's orders of magnitude more than what it costs us to run Tonic Cloud."

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Development hours saved

Kevin Paige

Chief Information Security Officer

“Our security team loves it because it solves a complex problem crucial to reducing risk for our company. Infrastructure loves it because it’s on-prem and easily deployed in a container. And our engineers love it because it’s easy to use and integrates seamlessly into our software development lifecycle without asking them to do any extra work.”

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Certification achieved

Matty Woznick

Enablement Programs Manager

“You can’t tell that our demo environment runs on Tonic data. It is so close to a mirrored experience for what our partners deal with, and that helps us empower them and guide them better. End of story.”

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Faster onboarding

Jason Lock

Senior Software Engineer and Tech Lead

“Tonic drastically reduces the amount of time it takes for a full regression test for all of our core features. Before it was somewhere within a two-week time span for QA to get the data set up; now they are ready to go and have tested all of the core features manually within a half a day.”

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Faster regression testing

Deliver the value of realistic synthetic data across your organization

Deploy Tonic

Deploy a self-hosted instance of Tonic, or work with your generated data in Tonic Cloud.

Self-Hosted or Cloud Based Synthetic Data Generation

Tonic Integrates With Relational, NoSQL Databases, Data Warehouses, and File Types for Seamless Data Connectivity

Connect to your data

Tonic integrates with all the leading relational and NoSQL databases, data warehouses, and file types.

View connection documentation

Consistent Data Masking or Generation of New Synthetic Values That Preserve Database Relationships

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 documentation