June 2021 Summaries

Gretel.ai has launched Beta2, a privacy engineering service that provides clean APIs and automates the process of creating synthetic data. The new features include making privacy engineering accessible to anyone, an easy-to-use command-line interface (CLI), built-in privacy controls, and the ability to run workloads anywhere. Gretel Beta2 also offers tutorials on its website for top use cases in the space. The service is currently free but will eventually transition to a freemium offering with pricing details released early next year.

Dolphin joined Gretel due to its unique approach in addressing data privacy issues by developing fundamental building blocks of data privacy and creating tools targeted at developers, engineers, scientists, and anyone who works with data. The company's Privacy Engineering as a Service aims to enable teams to build using speed, trust, and accuracy simultaneously. Gretel is working towards making data safe for everyone while fostering an environment of trust and collaboration within the team. The problem they are tackling is immense but holds enormous potential for innovation and growth.

Privacy engineering is a systematic approach to protect sensitive information using software and security engineering principles. It involves two key stakeholders - businesses requiring access to data, and customers whose personal data is being used. The importance of privacy engineering lies in its ability to build trust with customers, enable control over shared information, and differentiate services. Business models enabled by privacy engineering include faster data access for technology companies, creating marketplaces for financial institutions, and enabling information sharing while protecting patient privacy in health-tech industries.