Gretel.ai, San Diego, California-based best-in-class synthetic data and anonymization service makes privacy engineering accessible to everyone, closed a $50 million Series B funding round.
The round was led by Anthos Capital, along with participation from Section 32 and existing investors Greylock and Moonshots Capital, bringing the total funding raised to date to $65.5 million. This new funding helps accelerate Gretel’s pioneering work on its Privacy Engineering as a Service platform and suite of tools for developers.
The funding will fuel Gretel’s continued innovation with high-quality synthetic data, and expansion into new use cases linked to data privacy.
Company: Gretel Labs.
Round: Series B
Funding Month: October 2021
Lead Investors: Anthos Capital
Additional Investors: Section 32, Greylock, and Moonshots Capital
Company Website: https://www.gretel.ai/
Software Category: APIs and an open-source AI-based core
About the Company: Gretel is a privacy engineering toolkit featuring simple APIs and an open-source AI-based core built for developers. Companies and developers use Gretel’s easy-to-integrate APIs to classify and label, transform and anonymize, or create synthetic data to quickly and safely build and collaborate with data. Gretel’s platform enables developers to synthesize, transform and classify data with an easy-to-use suite of tools and APIs that aim to eliminate data privacy issues through safe data sharing. By applying advanced AI and ML techniques, Gretel generates the most accurate, private, and high-quality synthetic data of any product in its class and with significant time savings for engineers. With the new funding, Gretel will continue to advance the AI capabilities of its platform to support customer use cases in the life sciences, financial, gaming, and technology industries. Gretel customers use services either as a SaaS offering or run our CLI and APIs in their environments.