Tonic AI

Tonic.ai builds a synthetic data platform that generates high-fidelity, production-like data stripped of sensitive information and personally identifiable information, allowing organizations to build and test applications while maintaining privacy and compliance. The platform spans structured, semi-structured and unstructured data, and integrates with databases, data lakes and cloud infrastructure. Its technical work sits at the intersection of synthetic data generation, de-identification and PII removal, privacy and compliance engineering, and the preparation of machine-learning training data.

The company serves hundreds of customers across healthcare, financial services and technology - sectors in which data fidelity and regulatory exposure are matters of consequence. For engineers, this translates into problems of unusual difficulty: reproducing the statistical and referential properties of real production data at scale, across heterogeneous data formats and storage systems, without leaking a single sensitive record.

Tonic.ai states a focus on democratizing access to safe, realistic data for engineering teams, with an emphasis on helping those teams ship faster and with fewer defects, and on maintaining strong security postures and privacy standards. The work rewards practitioners who are rigorous about correctness, comfortable with data infrastructure, and inclined toward problems where the quality of the solution is directly measurable.