Privacy-centric data transformation to enable secure AI and software development on AWS
With Tonic.ai and AWS, organizations natively integrate realistic synthetic data into their software and AI development data pipelines.
Tonic Textual + AWS for AI
Fine-tune LLMs securely
Power fine-tuning workloads on SageMaker using your enterprise documents stored in S3. Automatically detect and de-identify sensitive text data to protect against data leaks via your AI systems.
Optimize RAG systems
Build automated data pipelines that extract, enrich, and secure your enterprise text data to keep RAG systems built on Amazon Bedrock in sync with S3.
Tonic Structural + AWS for Development & Testing
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Enhance testing with realistic data
Generate synthetic test data that mirrors production to fix your staging environments, catch more bugs, and shorten release cycles.
Accelerate engineering velocity
Get smaller, targeted datasets, de-identified on demand, to maximize your development team’s efficiency and minimize privacy risks.
Integrate synthetic data into your technical workflows on AWS
Tonic.ai integrates with AWS’s leading databases and downstream services, enabling secure, compliant data handling for testing, QA, and AI workflows. Our solutions empower your team to build high-performance applications and AI systems with de-identified data, ensuring privacy from storage to deployment.
Make your sensitive data usable with Tonic.ai on AWS
