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Gretel

Privacy-safe synthetic data that mirrors real datasets for AI training and

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About Gretel

Gretel generates privacy-safe synthetic data that mirrors real datasets for AI training and testing. Teams use it to prepare, label, monitor or analyse data without building internal tooling from scratch. It typically connects to existing storage and model pipelines, keeps an audit trail of changes and versions, and offers both an interface for non-engineers and APIs for automation inside larger machine-learning workflows.

Gretel key facts

About the Data & Analytics category

Analytics and BI platforms that turn raw data into clear insights. The Data & Analytics category on Tools Hub currently lists 712 tools. Alongside Gretel, it includes Mostly AI, Tonic AI, Voxel51, Evidently.

FreemiumData & Analyticssynthetic-dataprivacyai-training

More in Data & Analytics

Comparing tools in the Data & Analytics category? These related listings are worth a look: Mostly AI — Synthetic versions of tabular and text data so teams can share; Tonic AI — De-identifies and synthesises test data so developers can work with production-like; Voxel51 — FiftyOne, a tool for visualising, curating and evaluating computer vision datasets.

MData & Analytics

Synthetic versions of tabular and text data so teams can share

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TData & Analytics

De-identifies and synthesises test data so developers can work with production-like

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VData & Analytics

FiftyOne, a tool for visualising, curating and evaluating computer vision datasets

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EData & Analytics

Open-source framework for evaluating and monitoring machine learning and LLM systems

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AData & Analytics

AI observability platform that traces model performance and troubleshoots production issues

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FData & Analytics

AI observability platform for monitoring, explaining and governing models in production

Paidobservabilityexplainabilitygovernance