High-quality data access and provisioning shouldn't be daunting and time-consuming. Synthesized automates this process — it solves the problem of replacing sensitive production data from non-production environments with right-sized, production-like data.
Founded by PhD researchers from leading UK universities, Synthesized has pioneered the generation of production-like data for machine learning and application development across all structured data formats within one platform.
Synthesized pioneered Generative modeling in 2018, commonly referred to as Generative AI, for all structured data — tabular data, time-series, event-based data, databases, and semi-structured domains.
The performance of applications is only as good as the quality of data used in their development. Since its foundation, Synthesized has been on a mission to empower developers with fast access to production-like data by making the creation and access of high-quality data fast and easy, enabling collaboration and innovation.
While working as researchers at the University of Cambridge, Synthesized's founding team members struggled to obtain sufficient clean and regularized data, which is fundamental to building and validating ML-based applications. This was the origin of the Scientific Data Kit (SDK). Soon after, the Testing Data Kit (TDK) was developed to support full database creation, assisting application teams with their application development, testing, and cloud migration strategies.
Synthesized products are now used by some of the world's leading organizations, such as Deutsche Bank, UBS, the European Commission, and others.
Synthesized continues to be a part of various roundtables on AI regulations and ethics in the UK and Europe. Most recently, Synthesized contributed to the AI Roundtable with the Secretary of State for Science, Innovation, and Technology Chloe Smith, who hosted senior AI leaders at Downing Street