Tonic Textual

Tonic Textual is an unstructured data redaction and synthesis solution designed to safely process free-text and audio files, including support tickets, clinical notes, chat logs, and internal documents while preserving meaning and usability. It uses proprietary Named Entity Recognition models to identify and transform sensitive entities like names, emails, addresses, account numbers, and domain-specific identifiers. The result is privacy-safe text that still reads naturally and remains analytically useful, preserving context, intent, and structure for analysis, search, and model development.

Textual enables organizations to train and evaluate AI models on realistic text data while reducing privacy risk and improving compliance posture. Custom Entity Types allow you to continuously improve detection accuracy specific to your data and create new categories of entities beyond what's available out of the box, with a simple UI requiring no data science expertise.