Make sensitive unstructured data usable

Instantly identify and remove sensitive data from text documents and audio so your teams can safely train models, power RAG systems, and advance AI initiatives.

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Best-in-class detection

Our best-in-class models provide out-of-the-box support for common entities, with unlimited flexibility to design your own – with support across 50+ languages, delivering the accuracy your business demands.

Unstructured data transcript showing automatic detection of sensitive entities such as names and dates

Realistic synthesis

Redact or synthesize sensitive entities consistently, without compromising quality or context, ensuring data is suitable for model training and other scenarios where data realism is critical.

Transcript example showing realistic synthetic replacements for sensitive entities such as names and dates

Certifiable compliance

Whether it's HIPAA, GDPR, PCI, or another requirement, Tonic has established partnerships with Expert Determination providers to certify compliance for your use case.

HIPAA compliance icon for protected health informationGDPR compliance icon for sensitive data processingPCI compliance icon for financial data security
Illustration representing HIPAA compliant unstructured data processing

Enterprise-grade control and collaboration

Essential security features like Role-based-access controls (RBAC) and SSO integrations to ensure the highest levels of protection across your data, and dataset sharing within the UI for easy collaboration.

Seamless detection refinement

New feature

Continuously improve Textual’s detection accuracy specific to your data and create new categories of entities beyond what’s available out of the box. Custom Entity Types lets you easily train models on your own data via a simple UI (no data science expertise required).

Illustration demonstrating refinement of sensitive data detection in unstructured data

All your data, any format

Tonic Textual supports virtually all unstructured data formats — from free text to audio – simply feed your data into the Textual SDK or upload your files through the UI or with the Tonic SDK to quickly generate privacy-protected assets that are ready for downstream usage.

An isometric illustration with a central teal box with the Tonic Textual icon, indicating data processing, surrounded by a grid of smaller icons for different file types such as documents, images, and code. This visualizes feeding data into Textual SDK or UI to generate privacy-protected assets.

See Textual protect your data in real-time

Our proprietary NER models automatically identify entities in your text data to prevent potential privacy vulnerabilities in your AI development. Textual can de-identify any sensitive entities it detects via redaction or synthesis.

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Unstructured data de-identification for every use case

Bring an end to critical bugs in production and accelerate your release cycles by fueling your staging and QA environments with data that mirrors the complexity of production.

In AI model training

Retain your data’s richness and preserve its statistics by replacing PII with synthetic values, to ensure optimal model training for LLM fine-tuning and custom models.

Bring an end to critical bugs in production and accelerate your release cycles by fueling your staging and QA environments with data that mirrors the complexity of production.

In RAG systems

Provide LLMs redacted data while optionally exposing the unredacted text to approved users. Automate pipelines to extract and normalize unstructured data into AI-ready formats.

Bring an end to critical bugs in production and accelerate your release cycles by fueling your staging and QA environments with data that mirrors the complexity of production.

In LLM workflows

Redact sensitive information prior to using it within LLM prompts to prevent sensitive values from ever entering the chatbot system.

Bring an end to critical bugs in production and accelerate your release cycles by fueling your staging and QA environments with data that mirrors the complexity of production.

In your lower environments

Accelerate data science based development with realistic test data that ensures data utility and data privacy throughout your lower environments.

Illustration showing unified platform for structured and unstructured data de-identification

A holistic platform for all of your data

Regardless of whether you are working with structured or unstructured data – or you need to fabricate realistic synthetic documents because none exist – Tonic.ai provides a suite of solutions to unblock your AI/ML initiatives and keep them moving forward.

Image Support for all your data formats

Support for all your data formats

90% of enterprise intelligence is locked up in files across the business. With Textual, you can unlock unstructured enterprise data however and wherever it’s stored:
.csv
.txt
.pdf
XML
HTML
JSON
.pptx
.docx
.png
.jpeg
.xls
+ more

Keep conversations private while preserving value.


Redact audio files automatically. Now that’s ••••••• awesome!

Deploy Textual on the cloud or self-hosted

Accessible where your data lives

Deploy Textual seamlessly into your own cloud environment through native integrations with cloud object stores, including S3, GCS, and Azure Blob Storage, or leverage our cloud-hosted service.

Available through your cloud provider

Burn down your cloud commitments by procuring Textual via the Snowflake Marketplace, AWS Marketplace, and Google Cloud Marketplace.

Or deploy self-hosted

For the utmost in data security and control, deploy Textual on premises using Kubernetes or Docker, in the event that your data is too sensitive to live on the cloud.

Featured
Resources
Learn more about Tonic Textual by way of technical deep dives, guides, and webinars.

Preventing data breaches in AI systems

Data privacy in AI

Deterministic masking, explained

Data de-identification

Real-world applications of format preserving encryption

Data de-identification

Data masking for the insurance industry: a guide

Data de-identification

Data masking for government agencies: a guide

Data de-identification

Centralized vs decentralized data de-identification

Playbook

Audio redaction and synthesis

Playbook

LLM fine-tuning

Playbook
Accelerate development with high-quality, privacy-respecting synthetic test data from Tonic.ai.Boost development speed and maintain data privacy with Tonic.ai's synthetic data solutions, ensuring secure and efficient test environments.