Syntho has signed a partnership with Groningen-based company Researchable to further develop their synthetic data platform. By doing so, they joined forces to solve the privacy dilemma in an accelerated way. The collaboration between both companies focuses on the further development of Syntho's generative ML models and the development of the underlying software and systems. Researchable is a software partner with a scientific background and specialises in the development and architecture of data-intensive applications.
Syntho is an expert in synthetic data technology and has developed an AI model that makes it possible to synthesise privacy-sensitive data while preserving the original value of the data. Researchable, located in Groningen, has extensive expertise in designing and implementing complex software systems that are required to make Syntho's model scalable, sustainable, and secure. "By tapping into each other's expertise, we are joining forces to enable end-users to safely adopt Syntho's AI solution," explains Ando Emerencia, CTO at Researchable.
It is essential that privacy legislation is in place, but sometimes this means that data-driven innovations are not always possible within organisations. Syntho's software makes it possible to make data completely anonymous by synthesising it through artificial intelligence. "The potential of synthetic data is enormous because this new technology allows data to be shared freely within and outside organisations without violating the privacy of individuals," explains Simon Brouwer, CTO at Syntho. "Besides data sharing, there are many other interesting use cases we could think of. For example, our technology is often used to configure test and development stages, allowing software developers and data scientists to truly work according to the 'privacy-by-design' principle".
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