As data science and machine learning have become common, users and regulators alike have demanded greater privacy guarantees. The next generation of cryptography techniques has the potential for a privacy breakthrough, tackling the conflict between privacy and big data. However, just as artificial intelligence has required improvements in computing chips, software and algorithms, next-generation cryptography requires that same coordinated effort to achieve real world adoption.
To take on all of these challenges, Silicon Valley hardware startup Fabric Cryptography is today announcing its $33 million Series A funding round to build computing chips, software and cryptographic algorithms. This Series A funding round was co-led by Blockchain Capital and 1kx, with participation from leaders in the sector, such as Offchain Labs, Polygon, and Matter Labs. It follows a $6 million seed round led by Metaplanet with participation from Inflection and Liquid2 Ventures amongst others. Total funds raised stand at $39 million.
Founded by MIT and Stanford dropouts Michael Gao and Tina Ju, along with hardware veterans such as Sagar Reddy, the team aims to use state-of-the art hardware-software codesign techniques currently found in AI hardware to build a brand new processing unit for cryptography, which they call the Verifiable Processing Unit (VPU). It will do for cryptography what Nvidia’s GPUs and many other startups’ chips are doing for AI.
