Safe, usable data for government software and AI
Government agencies hold some of the most sensitive data in the country, and that sensitivity is exactly what keeps teams from using it to build and test software, answer records requests, and train and evaluate AI. Tonic.ai frees developers to build with safe, high-fidelity synthetic data that accelerates software and AI innovation while protecting data privacy. Through agentic solutions for data synthesis, de-identification, and subsetting, Tonic gives developers, records teams, and AI teams on-demand access to realistic data for development, testing, redaction and release workflows, and AI model and agent training, without putting sensitive information at risk. Founded in 2018, Tonic.ai is trusted by thousands of developers worldwide at companies like eBay, UnitedHealth Group, Qualcomm, Commonwealth Bank, and Mercor. Learn more at www.tonic.ai.
Tonic.ai's product suite addresses three distinct problems: unstructured data that can't be released, production data that shouldn't reach test environments, and data that doesn't exist yet. Each product is adopted on its own, and they work together.
Tonic Textual: redaction and synthesis for unstructured data
Agencies sit on enormous volumes of free text — case files, reports, transcripts, correspondence — that can't move or be used until sensitive information is removed. Tonic Textual detects sensitive information using proprietary NER models purpose-built for real-world domain text, then redacts or synthesizes it to generate compliant datasets, ready for release or for use in AI development. Guided Redaction workflows pair automated first-pass detection with human review, role-based permissions, and status tracking, so every decision carries a timestamp and an owner. Purpose-built for declassification, FOIA and public records requests, high-side to low-side sharing, law enforcement and court records, and secure collaboration with contractors.
Tonic Structural: test data management for development and QA
Development and test environments are where sensitive data most often ends up outside the boundary it was meant to stay inside. Tonic Structural is the AI-powered test data management platform that transforms sensitive production data into safe, high-fidelity test data, preserving the structure and referential integrity developers need to test against. Its built-in AI agent turns hours of manual configuration into minutes, and its patented subsetter equips each team with a targeted, isolated dataset instead of a shared copy of production. Agencies keep production data out of lower environments without slowing modernization work down.
Tonic Fabricate: synthetic data generation and simulated environments
Sometimes the right answer is not to touch production data at all. Tonic Fabricate makes generating realistic synthetic data as simple as asking for it: connect to a live source to model from a real database, generate from scratch when access to production is restricted, or combine both, with referential integrity maintained across multiple databases and files. For teams building and evaluating AI agents, Fabricate generates complete simulated environments, from records and messages to calendar activity, with known ground truth included, so agent behavior can be measured before anything touches real data.
