Gretel

What Gretel does

Gretel is a privacy engineering platform that builds generative AI infrastructure for synthetic data creation. Founded in 2020 and headquartered in Poway, California, the company developed a model-driven approach that learns patterns from source datasets and generates statistically realistic artificial datasets spanning structured, text, and multimodal data types. Its product portfolio centers on Gretel Workflows, a workflow automation tool that integrates synthetic data generation into developer pipelines, supplemented by vertical-specific solutions for healthcare organizations and multilingual synthetic financial datasets published on HuggingFace. The platform incorporates differential privacy technology, which NVIDIA later integrated into its OpenShell governance runtime for AI agents following acquisition.

Gretel monetized primarily through SaaS subscriptions, targeting a hybrid customer base spanning developer-centric AI teams at startups, financial services AI teams needing privacy-safe test data, and healthcare organizations constrained by HIPAA and GDPR. Its go-to-market combined product-led growth via the HuggingFace developer community and enterprise cloud distribution through partnerships such as Microsoft Azure AI Foundry, where Gretel was listed across 1,800+ AI model options. Total funding raised across seed, Series A, and Series B rounds totaled approximately $67.7 million, with Anthos Capital leading the $50 million Series B in October 2021. In March 2025, NVIDIA acquired Gretel for over $320 million, absorbing its roughly 80 employees and integrating its synthetic data and differential privacy capabilities into NVIDIA's NeMo and OpenShell platforms.

Name

Gretel

Legal name

Gretel Labs, Inc.

Website

https://gretel.ai

Company type

Private

Founded year

2020

Operating status

Acquired

Headcount range

51–100 employees

Short description

Gretel is a privacy engineering platform that uses generative AI to produce synthetic structured, text, and multimodal datasets for AI training. It serves developer-centric AI teams, healthcare organizations, and financial services developers needing privacy-preserving training data.

Ownership category

akta.pro rank

Product category

Synthetic Data Platform

NAICS

Web Search Portals, Libraries, Archives, and Other Information Services (5192)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

Model Governance, Risk & Compliance (GRC) Platforms (HDAAAKAA)

akta.pro secondary industries

Privacy, Consent & Data Protection Management (BPAEAPAF), Privacy, Data Protection & Cyber Governance (GRC) (BPAHAFAF)

Keywords

• Synthetic data generation
• Privacy engineering
• AI training data
• Differential privacy
• Data anonymization

Headquarters

HQ city

San Diego

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations

Revenue model

1. Synthetic Data Platform Subscription: Gretel operates as a privacy engineering platform providing synthetic data tools and privacy solutions through a software-as-a-service model, generating revenue from organizations that need to generate artificial datasets for AI training while preserving data privacy

Go-to-market motion1 record

Distribution channels3 records

Marketing channels3 records

Core offering

Gretel is a privacy engineering platform that provides synthetic data generation tools using a model-driven approach to learn patterns from source datasets and produce statistically realistic artificial data for AI model training. The platform enables organizations to overcome data scarcity, comply with privacy regulations such as GDPR and HIPAA, and reduce dependence on real-world data collection. It supports tabular, text, and multimodal data synthesis, with domain-specific solutions for healthcare and financial applications.

Product overview

Gretel is a privacy engineering platform that provides synthetic data generation tools and solutions. The product portfolio centers on Gretel Workflows as the core product, complemented by domain-specific synthetic data solutions for healthcare and financial applications. The platform uses a model-driven approach to learn patterns from source datasets, generating synthetic data at scale for AI experimentation and statistical realism. Gretel publishes datasets directly to platforms like HuggingFace for developer access. Following NVIDIA's acquisition in March 2025, Gretel's differential privacy technology has been integrated into NVIDIA's OpenShell governance runtime for agentic AI.

Differentiator

Problem solved

Functional benefit

Products and services

• Gretel Workflows A workflow automation tool for synthetic data generation that emphasizes workflow integration for developers, enabling privacy-safe data generation within existing development pipelines.
• Healthcare Synthetic Data Solutions Privacy-preserving synthetic data solutions designed for healthcare organizations, enabling AI training on clinical data without regulatory or privacy constraints.
• Multilingual Synthetic Financial Dataset Synthetic financial dataset released on HuggingFace designed for AI developers working on PII detection and privacy-safe financial data applications.

Quantifiable outcome

• Enables organizations to generate training data on demand and explore edge cases without relying on real-world data collection

Named customers2 records

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration1 record

AI capability4 records

Feature4 records

Partnerships

One partnership is on record.

• Microsoft AzurecoreStrategic or Co-development Partner · 19 November 2024Gretel is listed as a partner in Microsoft Azure AI Foundry, expanding its AI model catalog to over 1,800 options. This partnership enables Gretel to reach enterprise customers through Azure's cloud platform and provides integration with Microsoft's responsible AI tooling.

Scale indicators5 records

Recent moves5 records

Expansion highlights5 records

Direct peers

• Mostly AI: Vienna-based synthetic data platform offering AI-generated synthetic datasets with privacy guarantees; one of the three players cited as consolidating the synthetic data generation market alongside Gretel.
• Tonic.ai: Synthetic data platform focused on de-identification and safe data for software development and AI training, serving developer and enterprise customers with similar privacy-preserving use cases as Gretel.
• Hazy: Enterprise synthetic data generation platform using generative AI to create anonymized datasets for financial services and other regulated industries, comparable to Gretel's model-driven approach.
• Datagen: Synthetic data provider specializing in computer vision and simulated environments, with overlapping generative AI capabilities for AI training data and developer-centric GTM.
• Synthesized: London-based synthetic data platform for test data management and ML training, competing in the same privacy-preserving data generation category as Gretel with enterprise focus.
• YData: Synthetic data and data quality platform using generative AI for structured data augmentation, targeting similar data scientist and developer personas as Gretel.
• K2view: Data product platform that takes a business-entity-based approach to synthetic data, explicitly cited as an architectural alternative to Gretel's model-driven methodology.

Broad incumbents

• SAS Institute: Large analytics and AI software incumbent with synthetic data capabilities as part of its broader data and AI platform; cited alongside Gretel as a key player consolidating the market.
• Microsoft (Azure AI Foundry): Hyperscaler partner and emerging competitor via Azure AI Foundry, where Gretel is listed; Microsoft's broader AI platform investments in privacy and responsible AI tooling create competitive overlap with Gretel's differential privacy approach.
• Google Cloud (Vertex AI): Hyperscaler offering synthetic data generation capabilities within Vertex AI, representing both a potential distribution channel and a competitive threat to standalone synthetic data platforms like Gretel.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat4 records

Key risks5 records

Key highlights6 records

Customer concentration

• Xx.com/gretel_ai
• LinkedInlinkedin.com/company/gretelai

Revenue estimate

Valuation estimate

Number of profiles

Profiles4 records

Funding overview

Funding rounds3 records

Investors6 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Gretel