Stop waiting for Data. Start Shipping.
Unblock AI training, development and testing workflows with safe, realistic synthetic data from your production patterns or from scratch.
App development Testing & QA AI model training Compliance
App development
Accelerate velocity, unblock teams.
Rapidly generate realistic synthetic data—from scratch or modeled after production—to eliminate data dependencies and ship product innovations faster.
Testing & QA
Secure testing, zero regrets.
Transform sensitive production databases into high-fidelity, referentially intact test data to accelerate release cycles and drastically reduce critical defects escaping to production.
AI model training
Unlock sensitive data, safely.
Detect, redact, and synthesize sensitive data in your unstructured datasets to develop and fine-tune LLM and AI models without compromising privacy.
Compliance
Data governance at scale.
Build continuous data privacy compliance into every development and AI workflow to satisfy global regulations while maximizing data utility across the entire organization.
Trusted by engineering teams throughout the world
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Data synthesis for every stage of development, testing, and AI model training
Generate synthetic data from scratch
Turbocharge new product development and AI model training with fully relational synthetic databases, realistic unstructured data, and mock APIs generated at scale and on demand.
[Explore Tonic Fabricate\
How to generate synthetic data via agentic AI
Sanitize production data for testing
Accelerate your release cycles and eliminate critical bugs in production by fueling staging and QA environments with high-fidelity test data that mirrors the complexity of production.
[Explore Tonic Structural\
Patterson uses Tonic Structural to generate test data 75% faster and increase developer productivity by 25%.
Unlock unstructured data for AI
Safely leverage your unstructured data in AI development while preventing data leaks and ensuring regulatory compliance through industry-leading data redaction and synthesis.
[Explore Tonic Textual\
Wellthy uses Tonic Textual to unblock AI initiatives and reduce workflow inefficiencies by 50%.
Find the product and plan that works for you.
Synthetic data success stories
50% reduction in flagged care team actions
25x productivity
600 developer hours saved
20x faster regression testing
10x faster onboarding
3x faster release cycle
SOC 2 certification achieved
8PB subset down to 1 GB dataset
Deliver the value of AI-powered synthetic data across your organization
Technology tailored for data privacy compliance across regulated industries
Healthcare
Cultivate innovation in healthtech
Safely and realistically de-identify protected health information (PHI), with optional expert determination, to achieve HIPAA compliance in development and AI workflows.
Financial services
Drive digital transformation in fintech
Power development environments and AI initiatives with PCI-compliant synthetic finance data that mirrors your production data’s complexity and underlying business logic.
Government
Modernize workflows at public agencies
Automate data redaction and accelerate document declassification to streamline FOIA requests and inter-agency collaboration while ensuring data security, oversight, and accuracy.
Certified, secure solutions to ensure your company’s compliance.
We're proud recipients of glowing reviews from our customers
"The Tonic team has been fantastic to work with being very accommodating during a difficult, special (on-prem) implementation. With Tonic, we were able to create a testing environment that mimicked production completely in size and in complexity, which opened the door for more robust offshoring collaboration."
Chief Data Officer - Healthcare and Biotech
“Before implementing Tonic, our QA and development environments looked nothing like production. Tonic removed a major blocker for us by enabling our teams to test at scale with data that mirrors the size, shape, and feel of our production data. And by guaranteeing privacy for HIPAA compliance, Tonic allows us to share that data safely with our off-shore development teams, too.”
Nemo Nemeth
Head of Data Products
"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."
Jordan Stone
VP of Engineering
"Test data life saver. Truly a game changer for managing test data, both for functional testing and performance testing."
Director of QE, Healthcare and Biotech
"Every company working in a regulated industry needs Tonic!"
VP of Engineering, Finance industry
“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. That’s a huge win for us, equipping us with the real security we need to meet compliance obligations and safeguard our customer's privacy.”
Kevin Paige
Chief Information Security Officer
"For all of the complexity it abstracts, Tonic has been one of the easiest [tools] to operate and maintain. Their product provides immense value to our company."
VP of Engineering - Finance (non-banking)
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"I wouldn't even want to think about doing this on my own. Fabricate makes generating realistic docs for our product demos very easy. It works like magic."
Jesse Hampton
Team Lead of Customer Engagement
“We selected Tonic as our preferred vendor due to its plethora of advanced features, better UX, faster time to value, and lower total cost of ownership than any of the alternatives.”
Donal Mac An Ri
Architecture Team Lead
"Tonic is simple to use and comes with a diverse set of features to help you clean your data in multiple ways. Overall, the experience has been positive!"
“Nothing that we tried in-house is comparable to what we’re doing now with Tonic. It’s a game changer both in terms of the automation we can achieve, as well as on-demand function validation targeting specific use cases with the precise data we need.”
Srikanth Rentachintala
Director of Buyer Experience Engineering
"Tonic's customer service is outstanding. The product's design itself is set up to be trusted. When we de-identify data, we need to know in great detail what's going on. Their design is intuitive and customizable to ensure all data we consider to be important is addressed properly."
Verified User in Computer & Network Security
“Tonic has been incredibly user-friendly, providing the features we needed to scale our performance testing. What once took nearly two and a half hours to generate the test data we need, now takes just 35 to 45 minutes, end-to-end.”
Debarati Mukhopadhyay
Principal Performance Engineer
“Without a solution for secure, realistic test data, many of our new AI features simply wouldn't have been possible. With Tonic Textual, we can now confidently build and test these features without exposing PII, all while maintaining the rigorous privacy standards we hold ourselves accountable to as a healthcare company serving millions of families.”
Kevin Roche
Co-founder and CTO of Wellthy
"Anyone who is faced with the challenge of needing to move quickly and to be laser focused on their mission to provide value for their customers, go with the cloud hosted version of Tonic. It’s the best way to support that mission more broadly for your organization and to make sure that you're able to leverage the time and talent of your team in a way that is in support of that goal."
Jordan S.
VP of Engineering
"Tonic allows our developers to safely and securely test and deploy the software that we use in our production environment."
IT Security & Risk Management Associate
“Thanks to Tonic Structural, we’re always testing with the latest version of our production schema and masked data. I don’t have to do anything special to make it work.”
Youssuf Elkalay
Executive Engineer
"With the help of Tonic we have redesigned the majority of our business processes and have unlocked significant hidden potential."
Co-Founder
"I had an extremely great experience using Tonic personally as well as for my work."
Audit Associate
"Tonic is a very cool and interesting tool for my team to use synthetic data for testing, development, and data privacy compliance."
Finance Associate
"We are very much a ‘Let’s deploy as quickly as possible’ company. Accessing data took so long that developers didn’t want to do it. Tonic changed that out of the gate. We used to have to load tables overnight sometimes. Now Tonic can kick off a database that anyone can pull down in an hour or less."
Stephen Wooten
Co-Founder & Director of Engineering
“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.”
Sebastian Kowalczyk
Senior DevOps Engineer
"With Tonic, you get all the benefits of a smart, hungry startup—being super flexible, working hand-in-hand, iterating quickly to deploy new features—without any of the drawbacks some people fear. They have a superstar engineering team, willing to engage on every level with a white-glove approach. I can’t say enough good things about them."
Nemo Nemeth
Head of Data Products
“Before we had Tonic and the availability of production-quality data for our engineers and QA, we would see critical issues at least once a week that were tied to not being able to accurately test our features under real-world scenarios. Now, we haven't had a critical issue since we fully operationalized Tonic into our software development life cycle. That was nine months ago."
Jason Lock
Senior Software Engineer and Tech Lead
"Tonic is very supportive. They really want to ensure that we are taken care of as to how the product works, its setup, and they are always seeking to improve not only the product but their internal operations for customer experience."
Director of Security Solutions
"Tonic is simply exceptional. Its agent has created everything I need, from database structure to interesting trends and anomalies. Amazing."
Andy Cotgreave
Speaker and Data Evangelist, ex-Tableau
"Tonic has been lovely to work with. Whenever we have questions they will jump in with the right people to help out."
Manager of Quality Assurance - Software
“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.”
Matty Woznick
Enablement Programs Manager
“Tonic Textual unblocked all of our AI initiatives. We’ve been able to build the infrastructure that will power them all, abstracting the Textual SDK and creating a wrapper that integrates well with our systems. So now we have a button that we can press to activate data privacy, allowing us to move forward with AI. It is quite transformative.”
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"Tonic is a good product for data synthesis and an anonymization tool that provides fake data as realistic for analysts as well as developers without compromising privacy. "
Business Development Manager
"The faster lead time that we have with QA, the more things we can test in a day, the faster we can release and at higher quality than before."
Felipe Talavera
Engineering Fellow
“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.”
Senthil Padmanabhan
VP of Engineering
"Tonic.ai as a product is excellent -- well-developed and reliable -- but the customer support we've received has been outstanding. Overall it's been a great experience and I'd highly recommend the product if you're looking for an easy-to-use solution with a lot of flexibility and support."
Sandy J.
Software Engineer
"It's a pleasure to work with Tonic. I love the intuitive interface, the great team, and the new products too."
Engineer
"Tonic is a great team with a great niche product set that is continually growing and improving."
Verified User in Computer Software
Director of Security Solutions
"Tonic allows our developers to safely and securely test and deploy the software that we use in our production environment."
IT Security & Risk Management Associate
"Tonic is a very cool and interesting tool for my team to use synthetic data for testing, development, and data privacy compliance."
Finance Associate
"Tonic is a great team with a great niche product set that is continually growing and improving."
Verified User in Computer Software
Verified User in Computer & Network Security
"Test data life saver. Truly a game changer for managing test data, both for functional testing and performance testing."
Director of QE, Healthcare and Biotech
"It's a pleasure to work with Tonic. I love the intuitive interface, the great team, and the new products too."
Engineer
Business Development Manager
"I had an extremely great experience using Tonic personally as well as for my work."
Audit Associate
"Tonic is simple to use and comes with a diverse set of features to help you clean your data in multiple ways. Overall, the experience has been positive!"
Chief Data Officer - Healthcare and Biotech
"Tonic is simply exceptional. Its agent has created everything I need, from database structure to interesting trends and anomalies. Amazing."
Andy Cotgreave
Speaker and Data Evangelist, ex-Tableau
"I wouldn't even want to think about doing this on my own. Fabricate makes generating realistic docs for our product demos very easy. It works like magic."
Jesse Hampton
Team Lead of Customer Engagement
"Every company working in a regulated industry needs Tonic!"
VP of Engineering, Finance industry
Jordan S.
VP of Engineering
Sandy J.
Software Engineer
"Tonic has been lovely to work with. Whenever we have questions they will jump in with the right people to help out."
Manager of Quality Assurance - Software
VP of Engineering - Finance (non-banking)
"With the help of Tonic we have redesigned the majority of our business processes and have unlocked significant hidden potential."
Co-Founder
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Data synthesis guides
Explore the world of data synthesis and discover how it plays a crucial role in safeguarding sensitive information while maintaining data utility in software and AI development.
Tonic for the Enterprise
Clinical data extraction: how to unlock critical health information
Test Data Management
Managing test data from multiple sources without losing consistency
Test Data Management
Test data subsetting strategies for targeted software testing
Tonic Fabricate how-tos
Creating unstructured files from Fabricate Data Agent generated data
Tonic Fabricate how-tos
Using real-world data for synthetic data generation with the Fabricate Data Agent
Data synthesis
Synthetic data for agentic workflows: A guide
Data privacy in AI
Named Entity Recognition for data compliance automation
Developer productivity
How to hydrate agile development environments with realistic test data
Developer productivity
Build vs buy: Your guide to scalable synthetic data via LLMs
Data synthesis
How to generate synthetic data via agentic AI
Data synthesis
What is Synthetic Data?
Tonic Structural how-tos
How to use Structural data and Claude Code for test automation
Test Data Management
How to ensure test coverage for edge cases with representative data
AI model training
How to develop AI training datasets for compliance and performance
Data synthesis
Data synthesis for AI: A privacy-first approach
AI model training
Secure data generation for AI model training
Data privacy in AI
Preventing data breaches in AI systems
AI model training
How to prepare machine learning data responsibly
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Data privacy in AI
Data masking and artificial intelligence: Protecting data
Test Data Management
Masking and subsetting data to optimize test data pipelines
Data synthesis
Data synthesis vs data masking
Data synthesis
Data synthesis techniques: a comparison for developers
Developer productivity
How to improve data accessibility for software and AI development
Data de-identification
Deterministic masking, explained
Tonic Fabricate how-tos
Managing access to Tonic Fabricate accounts and workspaces
Data privacy in AI
PII compliance checklist: How to protect private data
Data de-identification
Real-world applications of format preserving encryption
Tonic for the Enterprise
Data masking for the insurance industry: A guide
Data synthesis
What is a rule-based test data generator?
Test Data Management
Data masking’s role in leveraging production data for testing and development
Tonic Fabricate how-tos
Uploading and referencing production data in a rule-based dataset, with Tonic Fabricate
Tonic for the Enterprise
Data masking for government agencies: A guide
Tonic Structural how-tos
How to mask data in Snowflake: A step-by-step guide
Developer productivity
Build vs buy: Your guide to finding scalable, efficient test data solutions
Test Data Management
Questions to ask when selecting a Test Data Management service
Tonic for the Enterprise
Data in action: How quality data can revolutionize the financial industry
Tonic for the Enterprise
AI in healthcare: Data privacy and ethics concerns
Test Data Management
How to gather test data for testing purposes: a guide
Tonic for the Enterprise
Data in action: How quality data can transform the healthcare industry
Developer productivity
How data quality issues can slow down product development
Developer productivity
How better data helps you do more
AI model training
A comprehensive guide to ethical fine-tuning of Large Language Models
Data privacy in AI
Privacy by Design in generative AI: Building secure and trustworthy AI systems
Tonic Structural how-tos
Creating an enterprise test data strategy with Tonic Structural
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AI model training
Balancing compliance and data utility in AI model training
Tonic Structural how-tos
Integrating Tonic Structural with your existing tech stack
Test Data Management
How to overcome common data provisioning challenges
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Data privacy in AI
AI & data privacy: What every organization needs to know
Data de-identification
Use cases for de-identified datasets
Tonic for the Enterprise
Synthesizing healthcare data for AI model training, with HIPAA Expert Determination
Data privacy in AI
Data privacy vs security: Understanding the difference
Data privacy in AI
AI compliance tools for your business
.avif)
Test Data Management
Unstructured data management: What it is and how to manage it
AI model training
What is a RAG chatbot? Benefits, challenges, and how to build one
Data privacy in AI
Best LLM security tools: Features & more
Data privacy in AI
Understanding LLM data security risks (with solutions)
Data de-identification
Understanding data redaction: use cases, benefits, and how to automate redaction workflows
Test Data Management
The hidden value of test data: a case study on tech debt & business value
Data de-identification
Data anonymization vs data masking: is there a difference?
Tonic for the Enterprise
Data de-identification in the healthcare industry
Data de-identification
Static vs dynamic data masking
.avif)
Data de-identification
Data anonymization: a guide for developers
Tonic Textual how-tos
De-identifying your unstructured data in Databricks with Tonic Textual
Data synthesis
How to generate synthetic data: a comprehensive guide
Tonic for the Enterprise
Data de-identification in the finance industry
Tonic Structural how-tos
Custom sensitivity rules to automate sensitive data detection
AI model training
What is retrieval augmented generation? The benefits of implementing RAG in using LLMs
Tonic Textual how-tos
Using custom models in Tonic Textual to redact sensitive values in free-text files
Tonic Textual how-tos
How to prevent data leakage in your AI applications with Tonic Textual and Snowpark Container Services
Tonic Textual how-tos
How to automatically redact sensitive text data In JSON format
Data privacy in AI
Safeguarding data privacy while using LLMs
AI model training
Top 5 trends in enterprise RAG
Tonic Structural how-tos
Ensuring data privacy with privacy rankings in Tonic Structural
Tonic for the Enterprise
Guide to data privacy compliance for financial institutions
Tonic Structural how-tos
Security for Tonic.ai cloud products
AI model training
What is model hallucination?
AI model training
What is Named Entity Recognition (NER)?
Data de-identification
What is data de-identification?
Data privacy in AI
Understanding model memorization in machine learning
Tonic Structural how-tos
Using Tonic Structural and the Safe Harbor method to de-identify PHI
Tonic Structural how-tos
Maintaining data relationships in Structural generation output
Tonic Structural how-tos
Integrating Tonic Structural into your data refresh and CI/CD pipelines
Test Data Management
Guide to test data automation
Test Data Management
Tonic vs Delphix vs K2View vs IBM Optim. A full comparison.
Test Data Management
What is test data management? A guide to TDM solutions
Data de-identification
What is data masking?
Data de-identification
Data masking vs data tokenization: differences and use cases
Data de-identification
What is data obfuscation?
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Build better and faster with high-fidelity synthetic data today.
Unblock data access, turbocharge development, and respect data privacy as a human right.
[Start generating\
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