TACEO Network is introducing a new approach to secure data collaboration by enabling organisations to process sensitive information on shared digital infrastructure without exposing the underlying data. Developed by researchers from Graz University of Technology, the platform uses advanced cryptography to allow functions such as biometric authentication, KYC verification, and payment routing to run on distributed networks while preserving full privacy. The system is already being used to support large-scale identity verification through the World project, demonstrating how confidential computing could reshape digital finance and data-sharing ecosystems.
The official launch of the TACEO Network is challenging the structural trade-off between data privacy and digital collaboration. Developed by a team of cryptography researchers at Graz University of Technology, the Austrian startup has unveiled what it calls a private execution layer for shared digital infrastructure. This network allows organisations to process sensitive functions, such as biometric authentication, KYC verification, and payment routing, on shared rails without ever exposing the raw underlying customer data to other participants or a central operator.
The technical foundation of the network relies on a combination of Multi-Party Computation (MPC) and a novel primitive called coSNARKs (collaborative Succinct Non-interactive Arguments of Knowledge). This hybrid approach allows distributed nodes to jointly compute functions on encrypted data while generating a verifiable proof that the computation was performed correctly. Unlike traditional systems, where sensitive logic must be kept in-house to maintain privacy, this architecture allows institutions to move their most confidential workflows onto a distributed network that is both private and auditable.
Lukas Helminger, the Co-founder and CEO of TACEO, noted that for decades, organisations have had to choose between keeping data locked in isolated silos or exposing it within shared systems. He explained that with the launch of this network, that trade-off disappears, enabling the next generation of financial services and AI applications to collaborate without handing over control of sensitive data to any single party. A distributed set of industry and academic node operators, including the Ethereum infrastructure firm Nethermind and the Czech Technical University in Prague, currently supports the network.
The most significant validation of this technology comes from its live deployment within the World project (formerly Worldcoin). The TACEO Network currently powers the proof-of-humanity verification for nearly 18 million people across 160 countries. By using the network to perform iris code membership checks against encrypted databases, World ID can ensure that each user is a unique human without any single operator—including TACEO or the World Foundation—having access to the biometric fragments. Philipp Sippl, the Director of Engineering at World Foundation, described the launch as the culmination of a multi-year effort to solve the “internet’s biggest unsolved problem” of global-scale private computation.
For the banking and fintech sectors, the network offers a way to modernise payment stacks and fraud controls while reducing the risk of data breaches. Applications on the network can utilise services such as “Private Reads and Writes” to shared ledgers and privacy-preserving identity checks. This allows a bank to verify a customer’s eligibility or creditworthiness across a broad network without centralising that individual’s sensitive records in a new, vulnerable environment. As stablecoins and digital settlements gain traction, these shared digital rails provide the necessary confidentiality for institutional-grade financial operations.
As the ecosystem of applications continues to grow, the startup, which raised $ 5.5 million in a 2025 seed round led by Archetype VC and a16z CSX, plans to introduce additional developer tooling for private state management. By providing production-ready services for “Private Recognition” and “Private Lookup,” the platform is positioning itself as the foundational layer of a more secure, provably fair digital future. The successful transition of this technology from academic research to a global-scale live network marks a pivotal moment for the adoption of confidential computing in mainstream finance.
What this means for the industry
- Confidential computing technologies are emerging as a key solution for secure data collaboration across financial institutions.
- Privacy-preserving cryptography such as MPC and zero-knowledge proofs could enable banks to share data without exposing sensitive customer information.
- Distributed privacy layers may become critical infrastructure for digital identity, payments, and AI-driven financial services.
- Financial institutions could reduce data breach risks while still benefiting from shared networks and collaborative analytics.
- The move from academic cryptography research to real-world financial infrastructure signals a new phase in secure digital finance.
Photo by Claudio Schwarz on Unsplash
