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Gretel

Synthetic data platform, now part of NVIDIA

coding#synthetic data#data privacy#machine learning#anonymization
Free plan Free trial API Self-hosted Teams
Toolglade’s take

Gretel was a well-regarded synthetic-data platform, but the key fact as of 2026 is that NVIDIA acquired it in 2025 and folded it into NVIDIA's developer AI services. That means its independent product status and former pricing should not be assumed, and teams evaluating synthetic data should verify how the technology is now offered through NVIDIA rather than signing up expecting the old standalone experience. We flag Gretel as acquired.

About Gretel

Gretel is a synthetic data platform that generates privacy-safe artificial datasets and anonymizes sensitive data via APIs, used to create training data, share data safely, and meet privacy requirements. In 2025 NVIDIA acquired Gretel and began integrating its technology and team into NVIDIA's developer AI services, so its standalone status has changed.

Gretel built a developer-focused platform for generating synthetic data: artificial datasets that statistically resemble real data but contain no actual personal records. Teams used Gretel's APIs and tools to create training data when real data was scarce, to safely share data across teams, and to anonymize sensitive information for privacy and compliance. The platform supported generating tabular, text, and other data types and included tools for evaluating the quality and privacy of the synthetic output. In March 2025, NVIDIA acquired Gretel in a reported nine-figure deal, exceeding the startup's prior valuation of around $320 million. Gretel and its roughly 80 employees were slated to be integrated into NVIDIA's growing suite of cloud-based generative AI services for developers. As a result, Gretel's status as an independent, standalone product has changed, and its capabilities are being absorbed into NVIDIA's broader platform. Because of the acquisition, prospective users should not assume Gretel remains available as a separate self-serve product with its former pricing. Anyone evaluating synthetic-data tooling should check current availability and how Gretel's technology is now offered through NVIDIA before making plans around it.

TL;DR

Gretel is a synthetic data platform for generating privacy-safe artificial datasets and anonymizing sensitive data via APIs. In March 2025, NVIDIA acquired Gretel in a reported nine-figure deal and began folding it into NVIDIA's developer AI services. As a result, its standalone product status and former pricing should not be assumed. Verify current availability through NVIDIA.

Company overview

Gretel was a US-based synthetic data startup serving developers and data teams, founded around 2019. It was acquired by NVIDIA in 2025.

Before the acquisition, Gretel raised more than $67 million in venture capital from investors including Anthos Capital, Greylock, and Moonshots Capital, and had a valuation reported around $320 million. NVIDIA's acquisition was reported to exceed that valuation.

Product features

Gretel provided APIs and tools to generate synthetic tabular, text, and other data types, plus anonymization and privacy and quality evaluation. It targeted developers building models with scarce or sensitive data.

Following the acquisition, these capabilities are being integrated into NVIDIA's cloud-based generative AI services, so the exact standalone feature set and access model may change.

Target market

Developers and data teams needing synthetic training data, anonymization, and privacy-safe data sharing, increasingly within NVIDIA's AI ecosystem.

Buyer personas

End users

Machine learning engineers and developers generating synthetic data for training and testing.

Buyers

Data platform and ML leaders, now evaluating within NVIDIA's ecosystem.

Key influencers

Privacy, security, and compliance stakeholders.

Ideal customer profile

A developer or data team needing privacy-safe synthetic data, comfortable with the technology being delivered through NVIDIA rather than an independent vendor.

Funding & performance

Before its acquisition, Gretel raised more than $67 million in venture capital from investors including Anthos Capital, Greylock, and Moonshots Capital, at a valuation reported around $320 million. NVIDIA acquired Gretel in 2025 in a reported nine-figure deal.

Pros & cons

Pros

  • Purpose-built for high-quality synthetic data
  • API and developer-friendly workflow
  • Privacy and quality evaluation tools
  • Supports multiple data types
  • Strong technology now backed by NVIDIA
  • Useful for privacy and compliance use cases

Cons

  • Acquired by NVIDIA; standalone status has changed
  • Former pricing may no longer apply
  • Future availability tied to NVIDIA's roadmap
  • Uncertainty for existing and prospective users
  • Synthetic data quality must still be validated
  • Not guaranteed to remain a self-serve product

Pricing plans

Post-acquisition (via NVIDIA)
Verify with NVIDIA
  • Synthetic data generation
  • Data anonymization
  • Integrated into NVIDIA AI services
  • Availability and pricing subject to change

Key features

API
Team collaboration
Self-hosted
Integrations
Python SDK, REST API, Cloud platforms, Data warehouses
Input types
text, file
Output types
text, file
Best For
Generating synthetic training data, Anonymizing sensitive datasets, Privacy-safe data sharing, Augmenting scarce data

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Frequently asked questions

Is Gretel still an independent company?+

No. NVIDIA acquired Gretel in 2025, and its technology and team are being integrated into NVIDIA's generative AI services for developers.

What does Gretel do?+

Gretel generates synthetic, privacy-safe data and anonymizes sensitive datasets via APIs, used for training data, safe data sharing, and compliance.

Can I still sign up for Gretel?+

Because of the NVIDIA acquisition, availability and pricing may have changed. Check how Gretel's technology is now offered through NVIDIA before assuming the former standalone product and plans are available.

Why use synthetic data?+

Synthetic data helps when real data is scarce, sensitive, or restricted, enabling model training, testing, and sharing without exposing real personal records, though quality and privacy should still be validated.

How much does Gretel cost now?+

Pricing is uncertain post-acquisition. Gretel historically had a free tier and usage-based options, but current terms should be confirmed through NVIDIA.

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