With the proliferation of data-driven industries, protecting individual privacy and complying with GDPR regulations has become an increasingly difficult and important task. It’s here, at the crossroads of innovation and data privacy, where Amsterdam-based startup, Syntho, makes its mark. Specialising in deep learning software that generates synthetic data ‘twins’, Syntho offers a groundbreaking solution to these contemporary issues, ushering in a new era of the open data economy.
Founded in 2020 by Marijn Vonk, Simon Brouwer, and Wim Kees Janssen, Syntho enables the use and sharing of data that is free from privacy and GDPR concerns. Through their Syntho Engine, they can replicate the statistical characteristics of any form of data, while ensuring that no original records are present. This result is a completely artificial dataset that reproduces the statistical characteristics of the original dataset, enabling data utilisation and promoting innovation, all while ensuring optimal privacy.
Key Takeaways:
- Syntho offers a novel approach to handling data and privacy concerns by creating synthetic ‘twin’ data.
- The startup’s offering holds the potential to enable an open data economy where data can be used and shared freely while ensuring privacy.
- Syntho’s deep learning software can be trained on any data, offering versatile application.
Syntho’s unique selling proposition lies in the synthesis of deep learning software and privacy-enhancing technologies (PET). This combination enables the generation of data that is statistically identical to the original, albeit devoid of any privacy concerns. The resulting synthetic data fuel innovation without the risk of privacy invasion, thus solving the so-called privacy dilemma.
In addition, the capability of training Syntho’s software on any form of data gives it considerable flexibility. This result is a versatile solution that can be of significant value to a vast array of industries, giving Syntho a broad and diversified market to tap into.
By facilitating data sharing without compromising on individual privacy, Syntho’s innovative enterprise promises to pave the way for the future of data-driven innovation whilst adhering to strict privacy laws like GDPR. The operational model Syntho has adopted can potentially revolutionise the manner in which companies, governments and institutions handle sensitive data.
As for the future, Syntho’s continued advancement of its deep learning software and progress in privacy-enhancing technologies pose a potential to become global leaders in the privacy-tech sector. For more details on their developments, you can visit their website, or follow them on their Linkedin page.
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