Synthetic Data Generation Platform
Synthetic Data Generation for AI/ML Development
Tonic unlocks data for AI/ML development that's often locked away due to privacy concerns, not fitting, or contains biases. All self-serve.
Your ML models are only as good as the data you use to train them.
A lack of available training data or an Inability to share models or results, often due to privacy regulations.
Machine learning model suffers from embedded biases in the training data which negatively impact the model’s fairness.
Missing or imbalanced data, which will impact the quality of the downstream machine learning model.
Synthetic data is a great alternative to real or incomplete data
With synthetic data you can recreate data that is locked away due to privacy reasons or sensitive data that is off limits without reducing data utility or data quality.
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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.
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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.
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In LLM workflows
Redact sensitive information prior to using it within LLM prompts to prevent sensitive values from ever entering the chatbot system.
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In your lower environments
Accelerate data science based development with realistic test data that ensures data utility and data privacy throughout your lower environments.
Industry-leading sensitive data detection, redaction, and synthesis
Input
Connect Textual to your data store or upload files in any format via an intuitive UI or by feeding text directly into the Textual SDK.
Extract
Automatically extract your free-text data and detect over thirty sensitive entity types with Textual’s multilingual NER models.
Protect
Leverage granular controls to de-identify your data consistently, either through redaction or realistic synthesis, replacing sensitive values while maintaining semantic integrity.
Optionally certify that PHI data de-identification is HIPAA-compliant through our partnership with an expert determination provider.
Deliver
Output your protected data in its original file format or in a standardized, markdown format optimized for model training and RAG systems.
Support for all your data formats
FAQs
We deploy either on the cloud or self-hosted. Cloud is the fastest way to start generating data.
Tonic collects information of the end user who made the request (i.e. browser or OS) and meta data around the request (Tonic license version, database type, HTTP post parameters). Tonic will never see the content of the source, destination, or application databases that connect to the Tonic application. We also do not store any datastore credentials such as URL, IP address, credentials, or proxy information.
From legacy on-prem to cloud native, we support a wide range of databases and are continuously adding more. Check our integrations product docs to see if your database is supported. If not available, ask us in our contact form or request a demo. It may already be in the works!
Build better and faster with quality test data today.
