Modulus Labs joins TFH to support applied research for World

Cutting-edge research and development are fundamental to empowering individuals globally through World Network. 

That’s why today, Modulus Labs is officially joining World contributor Tools for Humanity (TFH) to establish a new Applied Research team dedicated to pioneering cryptographic and machine learning solutions that are practical, scalable and secure.

The TFH and Modulus journey began in the spring of 2023 when the two organizations started collaborating on crucial projects to enhance the security and scalability of World Network. 

Since then, the Modulus team has been instrumental in developing zero-knowledge (ZK) prover solutions custom-tailored for machine learning applications. This technology plays a vital role in transforming millions of mobile devices into trusted environments that authenticate computations while preserving user data privacy and individual anonymity.

In collaboration with TFH, Modulus:

• Deployed a zero-knowledge data commitment scheme to thousands of Orbs, giving millions of individuals private custody of their human verification data while supporting future authentications.
• Created a heavily optimized security library for World App that generates verifiable AI authentications in mere minutes for individuals across the globe.
• Developed the mobile features that help people generate secret shares of signatures, providing a perfectly secret end-to-end pipeline for a user-centric uniqueness check in conjunction with World’s AMPC protocol.

As part of TFH, Modulus will become the new Applied Research team, expanding the organization’s focus into areas where cryptography intersects with machine learning to play a pivotal role in building the world’s largest financial and identity network. 

The Modulus team brings an unmatched level of expertise in zero-knowledge cryptography and its application to mobile and AI-driven environments—key areas that align with our ambition to scale the World network securely and efficiently. 

• Modulus Labs was founded in 2022 by Stanford graduates Daniel Shorr and Ryan Cao, who were inspired by the massive growth of generative AI to develop new accountability tools for the rapidly expanding capabilities of artificial intelligence.
• Modulus created a new standard for verifiable AI security that also protected user privacy. This was achieved through the application of specialized techniques in zero knowledge cryptography to machine learning operations. 
• Modulus created the world’s first verifiable AI projects, including the world’s first verifiable AI games and authenticated AI art. Modulus Labs also became the first team to successfully prove a multi-billion parameter Large Language Model (LLM) in zero knowledge.

TFH is delighted to be welcoming Daniel and Ryan, as well as Giorgos Zirdelis, Ben Wilson, Vishruti Ganesh, Ende Shen, and Makis Arsenis to the team. And with Modulus now part of TFH, the team is equipped to build out the next generation of verifiable, decentralized applications that deliver security, privacy, and accessibility at unprecedented scale.

TFH is not only committed to delivering exceptional products but also to advancing the state of cryptographic research that underpins them. The expertise and accomplishments of the Modulus team make them an ideal partner as TFH takes on some of the most significant challenges in scaling and securing decentralized systems. 

TFH, which is now inclusive of the Modulus team, is positioned to drive forward innovations in cryptography that will redefine the possibilities of decentralized technologies for billions of people worldwide.