Generative AI Tools For Creating Synthetic Data

Here’s a roundup of some of the most useful, interesting, or unique generative AI tools designed to create synthetic data, including both free and paid-for tools:

🤖 Mostly:

A well-established synthetic data platform used in industries like finance, retail, telecommunications, and healthcare. Recognized as a Cool Vendor by Gartner, Mostly enables the creation of datasets ensuring privacy and compliance with regulations like GDPR and CCPA. Its user-friendly interface allows data querying through natural language, similar to chatting with a bot like ChatGPT. It also includes guardrails to prevent bias in the synthetic data.

🔍 Gretel:

Makes it simple for anyone to create tabular, unstructured, and time-series data for analytics or machine-learning workflows. With easy usability and numerous connectors and API integrations, Gretel is compatible with various cloud and data warehouse infrastructures, supported by an active user community.

💊 Synthea:

A free, open-source tool tailored for generating synthetic patients for healthcare analytics. Synthea can produce complete medical records of fictional patients, aiding researchers in addressing healthcare challenges without compromising real patient data ethics or privacy.

🔒 Tonic:

A comprehensive platform for developing realistic, compliant, and secure synthetic data, primarily for software and AI development. Tonic offers de-identification services for anonymizing real-world data and can be deployed on-premises or on the cloud, integrating seamlessly with commonly used databases.

Explore these cutting-edge AI tools for synthetic data creation in various industries! 🌐 #AI #DataScience #SyntheticData #Innovation