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Tonic Structural
De-identify, subset, and synthesize structured and semi-structured data
Tonic Ephemeral
Spin up ephemeral data environments on demand
Fabricate
Generate relational databases from scratch
LLM development
Tonic Textual
De-identify and synthesize unstructured data
Tonic Validate
Evaluate and monitor RAG system performance
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Including relational databases, data lakes, NoSQL databases, flat files, and SaaS applications
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Tonic Structural
Realistic, secure test data generation
Tonic Textual
Unstructured data de-identification
Tonic Ephemeral
Ephemeral databases on demand
Tonic Validate
Monitor your RAG systems
Book a demo
Products
App development
Tonic Structural
De-identify, subset, and synthesize structured and semi-structured data
Tonic Ephemeral
Spin up ephemeral data environments on demand
Fabricate
Generate relational databases from scratch
LLM development
Tonic Textual
De-identify and synthesize unstructured data
Tonic Validate
Evaluate and monitor RAG system performance
Technologies
Integrations
Including relational databases, data lakes, NoSQL databases, flat files, and SaaS applications
Security
Learn about the security posture and compliance framework built into our products
Solutions
By use case
Testing & QA
App development
Compliance
Model training
RAG systems
LLM privacy proxy
By industry
Financial services
Healthcare
Pricing
Resources
Product docs
Tutorial videos
Guides
Case studies
Blog
Webinars
Ebooks
FAQ
Company
About us
Partners
Careers
News
Contact us
Log in
Select a product to log in
Tonic Structural
Realistic, secure test data generation
Tonic Textual
Unstructured data de-identification
Tonic Ephemeral
Ephemeral databases on demand
Tonic Validate
Monitor your RAG systems
Book a demo
Release Notes
Overview
Tonic Structural
Tonic Textual
Tonic Ephemeral
Tonic
Textual
v173
v173
Removed
October 24, 2024
You can now use the Python SDK to configure Amazon S3 pipelines.
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