Made By
GretelReleased On
2020-10-24
Gretel.ai is a synthetic data platform that enables developers to generate accurate and privacy-preserving artificial datasets on demand. This tool leverages generative AI to create synthetic data that mimics the statistical properties of real data, allowing for the development and testing of AI models without compromising sensitive information.
Key features:
- Train: Developers can train generative AI models to learn the statistical properties of their data.
- Validate: Quality and privacy scores are provided to validate models and use cases.
- Generate: Users can produce synthetic data as needed, in any quantity.
- Deploy: Flexible deployment options including cloud and on-premises setups.
- Gretel Cloud: Cloud GPU utilization for effortless training and data generation, with automatic scaling and team collaboration.
- On-Premises Deployment: Local data generation and transformation managed via APIs and the Gretel Console.
How it works:
1. Sign up via the Gretel Console.
2. Train generative AI models using the platform's tools.
3. Validate models using built-in quality and privacy assessment tools.
4. Generate synthetic data as needed for various applications.
Integrations:
Google Cloud, AWS, Azure
Use of AI:
Gretel.ai uses generative AI to create synthetic data that maintains the statistical properties of real data. This approach ensures the synthetic data is both accurate and safe for use in various applications, including machine learning and data sharing.
Target users:
- Developers needing synthetic data for testing and development
- Enterprises requiring safe data sharing and robust machine learning models
- Industries such as finance, healthcare, and the public sector where data privacy is crucial
How to access:
Gretel.ai is available as a web app and API, making it accessible for developers and enterprises looking to generate synthetic data.
Community and Support:
A Synthetic Data Community is available on Discord for users to connect with the Gretel team and other users. Comprehensive documentation and SDKs are provided to assist with setup and environment connection.
Pricing model: Usage/Credits/Tokens |
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