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See how Tonic.ai generates safe, high-fidelity data in minutes
Instantly generate hyper-realistic synthetic datasets
Securely de-identify sensitive production data for lower environments
Unlock unstructured data for AI model training
Unblock parallel development
Prevent sensitive data leaks and ensure compliance
Fuel your data pipelines at the speed of AI
Tonic customers have achieved
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."
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."
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."
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.”
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.”
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.”
Frequently asked questions
Tonic Structural is a data de-identification platform designed to protect sensitive structured and semi-structured data while preserving schema accuracy and data usability. It applies advanced, secure transformations directly to existing datasets rather than generating entirely new records.
Synthetic data is artificially generated data that mimics the structure, patterns, and relationships of real-world data, without containing any actual sensitive information. It is often used as test or training data in software development, machine learning, and analytics to validate systems, train models, and simulate real-world scenarios. When generated effectively, synthetic data maintains the utility of production data while ensuring privacy and compliance with regulations.
As test data, synthetic data allows teams to work in secure, non-production environments without risking exposure of personally identifiable information (PII) or other sensitive content. By preserving the statistical properties and relationships of real data, it provides a realistic, safe, and compliant alternative for development and testing workflows.
Data de-identification is the process of removing or altering personally identifiable information (PII) or other sensitive data to protect individual privacy. The goal is to transform the data so that individuals cannot be readily identified, while still retaining the data’s utility for tasks like analysis, software testing, AI development, or research.
Techniques for data de-identification include masking, generalization, encryption, and data synthesis. Proper de-identification ensures compliance with privacy regulations like GDPR and HIPAA, enabling organizations to use and share data safely without exposing sensitive information.
Tonic Textual is an unstructured data redaction and synthesis solution. It's designed to safely process free-text and audio files, including support tickets, clinical notes, chat logs, and internal documents while preserving meaning and usability.
Tonic Fabricate makes generating realistic synthetic data as simple as asking for it. Chat with the Data Agent to build and iterate on your ideal dataset, whether it’s a relational database, PDFs, docx files, or a myriad of other unstructured data types. Leverage the vast domain expertise of LLMs and Tonic.ai's industry-leading synthetic data generators to achieve unprecedented realism in a matter of minutes, then rapidly export your data in the format you need. With Fabricate's scalable, synthetic data, developers and AI engineers are free to innovate, unblocking product development, optimizing model training, and turbocharging time-to-market.