Gretel is a software company focused on addressing the data bottleneck faced by AI scientists, developers, and data scientists. Gretel provides APIs that allow users to generate anonymized and privacy-preserving synthetic data, enabling safe, fast, and easy access to high-quality datasets without sacrificing accuracy or privacy.
How does Gretel help with synthetic data?
Gretel's platform is designed by developers for developers and offers tools to create synthetic data that mimics real datasets while protecting sensitive information. This approach makes it possible for organizations to innovate, train machine learning models, and test AI systems without exposing or risking private data. Their APIs streamline the process of producing compliant, de-identified data at scale, solving a critical challenge for industries that handle sensitive or regulated information.
Who are Gretel's customers?
Gretel works with a wide range of organizations across industries, including technology, healthcare, finance, academia, and government. Notable customers include Bayer, Brown University, Carrs, Databricks, Priceline, CSIS, Fujitsu, Google, the US Department of Justice, HCA Healthcare, HSBC, Illumina, MedStar Health, Riot, SAP, SA Health, and Snowflake. These customers use Gretel's solutions to securely access and work with data for AI and analytics projects.
How was Gretel started?
Gretel was co-founded by Ali Golshan (CEO), Alexander Watson (CPO), and John Myers (CTO). The founding team brings expertise in security, data privacy, and software development, shaping the company's focus on safe synthetic data generation for developers and data teams. More information about their founding story and team can be found on their About page.
Where is Gretel based?
Gretel is headquartered in Palo Alto, California, and operates as a privately held company with a team of 51-200 employees.
Learn more
To explore technical insights, use cases, and the latest research on synthetic data, you can visit Gretel's blog.
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