Synthetic Data Platform
Provider 
Founded 2016
Sells To Enterprise
Pricing Model Recurring, Software
Ownership Private

Synthetic-data platform that generates privacy-preserving artificial datasets for AI/ML training and testing.
Gretel provides a synthetic-data platform that lets organizations generate artificial, privacy-preserving datasets for training, validating, and testing machine-learning models. Teams can create statistically similar substitutes for sensitive production data without exposing real customer or patient records.
The platform supports tabular, time-series, text, and image data through differential privacy and other safeguards, making it useful for safe sharing across engineering, analytics, and partner environments.
| Attribute | Synthetic Data Platform | Curator | |
|---|---|---|---|
| Provider | |||
| Founded | 2016 | 2024 | |
| Sells To | Enterprise | Enterprise | |
| Pricing Model | Recurring, Software | Recurring | |
| Ownership | Private | Venture-backed |
Provider 
Founded 2016
Sells To Enterprise
Pricing Model Recurring, Software
Ownership Private
Provider 
Founded 2024
Sells To Enterprise
Pricing Model Recurring
Ownership Venture-backed


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Synthetic data platform that generates photorealistic labeled images and video for training computer vision models.

Appen Data Catalog licenses 597 off-the-shelf AI training datasets for immediate model training, fine-tuning, and evaluation.

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Licensed real-world clinical datasets for training, evaluating, and benchmarking healthcare AI models.

Expert-curated datasets and reinforcement learning environments for training and evaluating AI models.

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Ready-to-license expert-authored datasets for AI post-training across professional, coding, search, and multimodal tasks.

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