Tonic.ai, a pioneer in data de-identification and synthesis, has announced a strategic collaboration agreement (SCA) with Amazon Web Services (AWS). This partnership aims to empower enterprises in regulated sectors—such as healthcare, finance, and insurance—to adopt generative AI responsibly through privacy-preserving synthetic data. As generative AI transforms enterprise workflows, data security remains a top concern. Tonic.ai and AWS are tackling this challenge head-on, enabling innovation without compromising on compliance or privacy.
Unlocking AI Innovation While Ensuring Data Privacy
With the rise of LLMs and generative AI, enterprises are under pressure to unlock insights from their data while protecting PII (Personally Identifiable Information) and PHI (Protected Health Information). This collaboration enables organizations to:
- Securely train AI models using synthetic datasets
- Accelerate development cycles without waiting for sensitive data access
- Harness AWS infrastructure and AI services like Amazon Bedrock and SageMaker
- Maintain full compliance with industry regulations and internal data governance policies
Through AWS Marketplace, customers can now seamlessly deploy Tonic.ai’s synthetic data platform alongside AWS tools.
“Our collaboration with AWS underscores our commitment to enabling enterprises to responsibly adopt generative AI while upholding the highest standards of data privacy,” said Ian Coe, CEO at Tonic.ai.
Responsible AI Adoption Through Synthetic Data
Bridging Real-World Data and AI Development
Tonic.ai’s platform enables businesses to fine-tune LLMs using synthetic datasets that mirror real-world complexities—without exposing sensitive information. This unlocks use cases such as:
- Automating healthcare administration tasks (e.g., prior authorization)
- Streamlining regulatory compliance workflows in finance
- Improving enterprise AI readiness through safe model training environments
Tonic.ai’s de-identified datasets retain structure and variability, offering both security and statistical richness.
“Tonic has helped eBay streamline the very challenging problem of representing the complexities contained within petabytes of data,” said Senthil Padmanabhan, VP of Engineering at eBay.
Real-World Applications and Impact
Enterprises are already seeing measurable gains from synthetic data-driven development. Tonic.ai’s customers—including Fortune 500 firms—use the platform to:
- Generate safe, high-quality data for testing and model training
- De-risk generative AI experimentation with realistic but non-sensitive data
- Accelerate compliance with GDPR, HIPAA, and industry regulations
- Automate data provisioning across multi-cloud and hybrid environments
“Data privacy and security are fundamental to advancing the responsible use of generative AI,” said Chris Sullivan, VP, Americas Channel & Alliances at AWS.
Building the Future: Joint Go-to-Market and Technical Validation
The SCA includes:
- Co-selling programs and joint customer engagements
- AWS-funded proof-of-concepts (POCs) to accelerate implementation
- Listing and validation through AWS Marketplace and AWS Foundational Technical Review (FTR)
This foundation enables faster adoption of AI solutions with built-in privacy safeguards, offering customers both innovation and assurance
The strategic alliance between Tonic.ai and AWS represents a critical step toward secure, responsible, and scalable AI adoption. By combining Tonic.ai’s privacy-first synthetic data platform with AWS’s powerful AI infrastructure, enterprises can now leverage generative AI confidently—with data security and compliance built in from day one.
As generative AI enters the enterprise mainstream, privacy-preserving innovation is no longer optional—it’s the path forward.
