Gretel
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.
- Company typePrivate
- Founded2020
- HeadquartersSan Diego, United States
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
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.
Gretel firmographics
Firmographics- 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
Gretel industry classification
Industry- 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
Where Gretel is headquartered
LocationHeadquarters
- HQ city
- San Diego
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Gretel business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- 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
Gretel product offering
Product offeringCore 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
Companies that use Gretel
Customer profileNamed customers2 records
Segments3 records
Ideal customer profiles3 records
Gretel technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration1 record
AI capability4 records
Feature4 records
Gretel partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- Microsoft AzurecoreGretel 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
Gretel competitors and assessment
Company assessmentDirect 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
Gretel social profiles
Digital presenceGretel financial estimates
Financial estimateRevenue estimate
Valuation estimate
Gretel leadership team
Management profileNumber of profiles
Profiles4 records
Gretel funding detail
Funding detailFunding overview
Funding rounds3 records
Investors6 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Gretel M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Gretel
What does Gretel do?
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.
Is Gretel a public or private company?
Gretel is a private company. It is classified as corporate owned and is currently acquired.
When was Gretel founded?
Gretel was founded in 2020. It employs 51 to 100 people.
Where is Gretel based?
Gretel is headquartered in San Diego, United States, in the North America region.
How does Gretel make money?
One revenue line is on record: synthetic Data Platform Subscription.
Who are Gretel's main competitors?
Direct peers on record are Mostly AI, Tonic.ai, Hazy, Datagen, Synthesized, YData and K2view. Broad incumbents are SAS Institute, Microsoft (Azure AI Foundry) and Google Cloud (Vertex AI).
Does Gretel have an API?
No public API is recorded for Gretel.
What industry is Gretel in?
Gretel's product category is Synthetic Data Platform. Its primary akta.pro industry code is HDAAAKAA, Model Governance, Risk & Compliance (GRC) Platforms, with a secondary code of BPAEAPAF, Privacy, Consent & Data Protection Management. Its NAICS code is 5192 and its SIC code is 7370.