Gretel

Gretel is a software development company that specializes in generative AI, synthetic data, machine learning, privacy, and AI. Founded in 2019 and headquartered in San Diego, California, Gretel is solving the data bottleneck problem for AI scientists, developers, and data scientists by providing them with safe, fast, and easy access to data without compromising on accuracy or privacy.
Gretel's APIs help developers create and fine-tune custom AI models, as well as generate synthetic data that is as good or better than the real data they already have. The synthetic data is based on real-world examples and is generated on demand. This makes it easy to preserve privacy, enhance data quality, and innovate faster. The synthetic data platform provides unlimited synthetic data generation, privacy-preserving transformations on datasets, and identification of sensitive data such as PII with NLP.

The mission of Gretel is to help developers unlock synthetic data, achieve more with safe access to the right data, and accelerate progress across various industries. The company caters to developers and ML/AI engineers who seek scalable privacy for their data. Gretel's technologies offer a myriad of use cases for structured or unstructured data, enabling developers to label and classify, anonymize and transform, and generate privacy-proven datasets at scale.

Gretel's APIs provide a complete tool-kit for synthetic data. The Gretel synthetics, transform, and classify APIs combine to enable developers to cover a variety of use cases for structured or unstructured data. The APIs are designed by developers for developers and are accessible through Gretel's online console, CLI, SDK, or connectors. Gretel's Privacy Filters enable developers to tune data privacy versus utility by balancing privacy with the data they generate. Additionally, the APIs use Named Entity Recognition to identify and label PII, thereby keeping data safe.

Gretel offers a complete synthetic data platform that provides accurate and safe synthetic data on demand. The company's APIs make it simple to generate anonymized and safe synthetic data, thereby enabling developers to innovate faster while preserving privacy. Gretel's Python libraries, sample notebooks, and web apps are easily accessible to developers who seek to generate synthetic data quickly and efficiently.

Gretel's technology is widely used by the community, with 150 billion+ records synthesized, 500k+ SDK downloads, and 21k+ developers using Gretel Cloud. The company's cloud runners keep data contained by running Gretel containers in the developer's own environment or scaling out workloads to the cloud in seconds. The Gretel Cloud enables developers to train and generate synthetic data, scale workloads automatically with no infrastructure set up and manage, and collaborate with team members on cloud projects.

In conclusion, Gretel is an innovative software company that is leveraging synthetic data and AI to help developers and ML/AI engineers unlock previously inaccessible data. The company is providing a complete synthetic platform that is safe, scalable, and privacy-preserving. Based on Gretel's APIs, developers can create and fine-tune custom AI models, as well as generate synthetic data that is at par or better than the real data they already have. Its technologies provide a complete tool-kit for synthetic data that makes it easy to preserve privacy, enhance data quality, and innovate faster. Through the Gretel Cloud, developers can train and generate synthetic data, scale workloads, and collaborate with team members on cloud projects. Overall, Gretel is revolutionizing the way data is accessed and used by developers while simultaneously preserving privacy and data quality.