Gretel.ai
Gretel.ai is an AI platform that generates synthetic data to protect privacy, accelerate development, and overcome data scarcity.
Price: Freemium
Description
Gretel.ai allows developers and data scientists to create privacy-preserving synthetic data that mimics the statistical properties and relationships of real-world datasets without exposing sensitive information. This is crucial for industries dealing with confidential data (e.g., healthcare, finance) or for developers needing realistic data for testing and model training without privacy risks. Users can upload their real data, and Gretel's AI models generate new, artificial datasets that maintain utility while offering strong privacy guarantees. Gretel.ai stands out by making high-quality synthetic data generation accessible, enabling faster innovation, secure data sharing, and robust AI development in privacy-sensitive environments.
How to Use
1.Sign up for Gretel.ai and upload your real dataset (e.g., CSV, SQL).
2.Select a Gretel AI model (e.g., Tabular, Language) appropriate for your data type.
3.Configure privacy settings and utility metrics to control the balance between privacy and data realism.
4.Train the AI model on your real data to learn its patterns.
5.Generate a new synthetic dataset, evaluate its quality and privacy, and then download it for use.
Use Cases
Privacy-preserving data sharingAccelerated software development and testingTraining AI/ML models with sensitive dataOvercoming data scarcity for researchCompliance with data privacy regulations (GDPR, HIPAA)Internal data exploration and analysisDeveloping new data productsBenchmarking and experimentation with new algorithms
Pros & Cons
Pros
- Generates high-quality synthetic data with strong privacy guarantees.
- Enables secure data sharing and collaboration without exposing real data.
- Accelerates development and testing cycles by providing realistic data on demand.
- Helps comply with stringent data privacy regulations.
- Supports various data types (tabular, time series, natural language).
Cons
- Requires a strong understanding of data privacy and synthetic data concepts.
- The quality of synthetic data is highly dependent on the quality of the original data.
- Can be resource-intensive for very large or complex datasets.
Pricing
Free Plan: Up to 1 GB of data processed per month, access to core Gretel.ai models, community support, limited API access
Developer Plan: $25/month
Up to 10 GB of data processed per month, includes Free features, increased API access, email support
Team Plan: $250/month
Up to 100 GB of data processed per month, includes Developer features, team collaboration, priority support, dedicated environment
Enterprise Plan: Custom pricing
Unlimited data processing, on-premise deployment options, advanced security and compliance, dedicated account management, custom integrations
Free Trial: A free plan is available, acting as a perpetual free tier
Refund Policy: Not explicitly detailed on the public pricing page
standard SaaS cancellation terms usually apply.
FAQs