We’re on a mission to transform the way our society works with data using Artificial Intelligence.
From our time as researchers in Machine Learning (ML) at the University of Cambridge, we often struggled to obtain sufficient clean and regularised data fundamental to building predictive models or testing a hypothesis. The obstacles were only compounded as the ML projects became more advanced and we struggled to obtain high-quality, clean data sets. More importantly, we identified that a lack of infrastructure to safely share data was causing a gap between the developments of the scientific community, and what was actually delivered in the real-world.
We started Synthesized with a mission to empower data scientists with the highest quality datasets for collaboration and innovation. Today, scientists are spending 70% of their time sanitising data and more than 60% of enterprise data is unused. Synthesized is the DataOps platform which solves the problem of collaborating on sensitive data. It enables enterprises to monetize and innovate through their data and speed up the development of data-driven products . The platform empowers data practitioners with secure and compliant, ready-to-use, high-volume, high-quality data sets in as little as ten minutes for development and testing purposes.
The most challenging problems that we face as a society need to be solved collaboratively. We constantly look for partners who share our vision of privacy preserving data sharing and are proudly supported by leading technology investors in the space.