Tonic Textual

Product Overview

Tonic Textual is a sensitive data redaction platform and fully featured SDK for protecting your unstructured free-text data. After connecting or uploading your data, Tonic Textual identifies sensitive datapoints from a block of text, redacts them, and synthesizes realistic text data to maintain data utility without compromising sensitive information. With just a few clicks Tonic Textual can be embedded into your data and ML pipelines to provide you with realistic, de-identified text data that is safe to use for model training, MLOps, LLMOps, and building data pipelines. Using Tonic Textual, organizations can safely leverage their text data and practice responsible AI development while staying compliant with evolving data handling regulations.Redact your free-text files in just a few steps:[1] Upload .txt or .pdf files through the UI or Python SDK.[2] Preview sensitive data detection and configure transformations.[3] Download or fetch your redacted data.Try out free trial at: textual.tonic.ai/signup
Version: 056
By
Tonic AI
Categories: Masking/Tokenization
Edit/Processing-Text
Names Entity Recognition - NER

Operating System
Linux/Unix, Ubuntu 22.04
Delivery Methods
Amazon Machine Image

Highlights: Transform sensitive data in your unstructured text into redacted entities or contextually relevant synthetic data, maintaining data utility and privacy. Train your own entity recognition model to recognize sensitive entity types and formats unique to your data using our Custom Models feature. Support for multiple file formats, including: .txt, PDF, JSON, and DOC/DOCX

Category: Infrastructure Software

Delivery Method: Amazon Machine Image