Gretel Pricing, Plans and Cost Breakdown for 2024

Gretel is a synthetic data platform designed to help developers create and utilize artificial datasets that mirror the properties of real data. This enables the development and testing of AI models while maintaining data privacy. Gretel offers a range of pricing plans tailored to different needs, from individual developers to large enterprises.

Developer Plan

The Developer Plan is Gretel's entry-level option, aimed at individual developers or small teams just starting with synthetic data. It includes:

• Free Tier: The plan begins with a no-cost option that provides a set of features without any upfront payment.
• Monthly Credits: Users receive 15 free credits each month. The free credits included in this plan reset monthly and do not roll over.
• Pay-As-You-Grow: Beyond the free credits, additional usage is billed at $2.00 per credit.
• Synthetic Records: The free credits can generate over 100,000 high-quality synthetic records.
• Transform Records: Users can transform up to 2 million records per month.
• PII Detection: The plan includes the detection of personally identifiable information (PII) in up to 2 million records.

Team Plan

The Team Plan is designed for small to medium-sized teams that require more resources and support. This plan includes:

• Monthly Fee: The plan costs $295 per month.
• Additional Credits: Each credit beyond the included amount costs $2.20.
• Concurrent Jobs: Up to 10 jobs can be run concurrently.
• API Availability: The plan guarantees 99.5% API availability under a Service Level Agreement (SLA).
• Support: 1 business day email support is provided.
• Custom SSO Support: Integration with Single Sign-On (SSO) systems is available.
• Credit Pooling: Credits can be pooled across the team.
• Annual Review: An annual technical review with a solutions engineer is included.
• Onboarding Workshop: Teams receive a private onboarding workshop with a solutions engineer.

Enterprise Plan

The Enterprise Plan is Gretel's most comprehensive offering, suitable for large organizations that need to standardize synthetic data and privacy engineering practices. This plan is customized for each organization and includes:

• Custom Pricing: Pricing is tailored to the specific needs of the enterprise.
• Turbo-Scaling: Custom scaling options are available to meet the demands of large-scale operations.
• API Availability: The plan includes a 99.5% API availability SLA.
• Support: Round-the-clock phone and email support are provided.
• Custom SSO Support: Custom integration with SSO systems is offered.
• Credit Pooling: Credits can be shared across the enterprise.
• Quarterly Reviews: Enterprises benefit from quarterly technical reviews with proactive guidance.
• Workshops: Quarterly private workshops of 2 hours each are available.
• Dedicated Support: A designated customer success engineer is assigned to the enterprise.

Conclusion

Gretel's pricing structure caters to a wide range of users, from individual developers to large enterprises. The Developer Plan offers a generous free tier, making it accessible for users to start with synthetic data generation and privacy-focused development. As needs grow, the Team and Enterprise plans provide additional resources, support, and customization to integrate synthetic data solutions into more extensive development processes. Each plan is designed to scale with the user's requirements, ensuring that Gretel can accommodate the evolving demands of AI model development and data privacy.