Gretel Navigator Tabular generates production-quality synthetic data optimized for AI and machine learning development from prompts, schema definitions, or seed examples. Unlike single-LLM approaches to data generation, Navigator employs a compound AI architecture specifically engineered for synthetic data, combining top open-source SLM models fine-tuned across 10+ industry domains. This purpose-built system creates diverse, domain-specific datasets at scales of hundreds to millions of examples while preserving complex statistical relationships and offering increased speed and accuracy compared to manual data creation.

Top use cases:

Creating synthetic data for LLM training and fine-tuning
Generating evaluation datasets for AI models and RAG systems
Augmenting limited training data with diverse synthetic samples
Creating realistic PII/PHI data for model testing

This offer is integrated with Azure AI Studio. You will be asked to navigate to Azure AI Studio to subscribe to this offer and use the models.

Gretel Tabular NavigatorGretel Labs, Inc.

Gretel Tabular Navigator

Gretel Labs, Inc.

Gretel Tabular Navigator

Gretel Labs, Inc.

Gretel Tabular Navigator
Gretel Labs, Inc.