Gretel Blog

Gretel, a leader in privacy-preserving AI and synthetic data generation, has been named one of LinkedIn’s Top U.S. Startups

Gretel's synthetic GSM8k dataset shows an 84% improvement for AI Reasoning tasks vs synthetic data generated without reflection.

Gretel's Workflow Builder streamlines multi-step synthetic data generation for financial services, boosting privacy and efficiency with no coding required.

Enhance finance chatbots with privacy-first synthetic data using Gretel and Databricks to boost performance while ensuring compliance with privacy regulations.

Generate domain-specific tabular datasets with multiple modalities.

Can synthetic data really be used in machine learning? We explore the utility of synthetic data created from popular datasets and tested on popular ML algorithms.

How thoughtful, high-quality synthetic data generation, rather than 'indiscriminate' use, can prevent model collapse.

Create privacy-safe synthetic patient data with Gretel, ensuring compliance, secure sharing, and actionable insights for AI and machine learning in healthcare.

Gretel releases industry standard synthetic tabular data privacy evaluation and risk-based scoring system.

Rapid SLM releases highlight the need for clarity on licenses + lineage, which are crucial for enterprises navigating open-weight models and synthetic data ownership

Gretel Navigator’s synthetic data generation outperformed OpenAI's GPT-4 by 25.6%, surpassed Llama3-70b by 48.1%, and exceeded human expert-curated data by 73.6%.

Gretel's latest open synthetic dataset aims to enhance LLM interactions and contributes to the popular 'awesome-chatGPT-prompts' GitHub repository.