Gretel and AWS

Build Enterprise AI solutions with synthetic data with Gretel & AWS

Build better models with better data in AWS with Gretel’s synthetic data platform purpose-built for generative AI
Key Benefits

Is your AI/ML roadmap blocked by data sharing limitations or a lack of data?

Gretel solves for the most common data bottlenecks in machine learning—such as insufficient volume and quality of safe training data. Gretel’s workflow connector with Amazon S3, and partnership with the vast AWS ecosystem, makes it simple for enterprises to customize language models using safe, high-quality synthetic data.

  • Augment AI training with synthetic tabular, text, image, time-series, and relational data.

  • Create safe versions of sensitive data for training and testing.

  • Meet data privacy requirements, including GDPR and CCPA.

  • Generate customized scenarios for testing using conditional data generation.

  • Accelerate the development of AI/ML, R&D, and applications.

Integrate

Seamless synthetic data workflow in AWS

Flexibly operationalize synthetic data with the AWS tools you love.
Seek inspiration below or explore your own solution.
Gretel on AWS SageMaker Diagram

AWS Resources

Resources to help you get started building with Gretel + Amazon AWS
Generate text-to-code datasets with Gretel to fine-tune LLMs on AWS
Fine-tuning Models for Healthcare via Differentially-Private Synthetic Text
Synthetic Data for Real Data Privacy: Automating Secure Workflows with Gretel and Amazon SageMaker
Fine-Tuning CodeLlama on Gretel's Synthetic Text-to-SQL Dataset using Amazon SageMaker JumpStart
AWS + Gretel Synthetic Data Accelerator Program for Generative AI
Get Started

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