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OpenMatter Network is expanding its push to make cryptographic verification a key part of modern computing, with its Head of Operations and Partnerships, Chris Biele, set to participate in Belgrade Blockchain Week 2026.
Biele will lead sessions on secure scientific collaboration, agentic AI, and the growing importance of Verification Architecture. His participation comes after the recent commercial launch of the OpenMatter Network platform and its ongoing work with Hashgraph Online (HOL) and the Decentralized AI Agent Alliance (DAIAA).
The company’s broader goal is to move computing away from relying mainly on assumptions and trust toward systems where actions and results can be mathematically verified.
“Launching OpenMatter was only the beginning,” said Renee Davis, CEO and Co-Founder of OpenMatter Network. She emphasized the importance of helping businesses, researchers, technology leaders, and standards organizations understand why verification is becoming increasingly important as AI systems become more autonomous.
Secure Collaboration Without Exposing Sensitive Data
On August 25, Biele will lead an OpenMatter session during Moonstruck’s DeSci Day. The discussion will focus on how cryptographic verification and privacy-preserving technologies can help organizations collaborate while keeping sensitive information protected.
The session will cover technologies including masked computing, multi-party computation, zero-knowledge proofs, and post-quantum infrastructure. It will also feature a live demonstration of a verified computing task using OpenMatter Network’s Datavizor platform.
A fireside discussion will explore whether cryptographic proof can reduce the need for traditional trust when organizations need to work with information they cannot safely share.
According to Biele, many valuable datasets remain isolated because organizations cannot risk exposing sensitive information. Cryptographic verification could allow organizations to perform useful computations on protected data without revealing the data itself.
Focus on Agentic AI and Verification
On August 26, Biele will deliver a keynote at ETH Belgrade titled “Don’t Trust, Prove: Building the Post-Quantum Verification Layer for Agentic AI.”
The presentation will examine the challenges created by increasingly autonomous AI agents that can make decisions and perform actions at machine speed.
OpenMatter argues that traditional security controls, runtime safeguards, and after-the-fact audits may not be enough on their own. Organizations also need ways to cryptographically verify that AI systems performed approved computations and followed required policies.
Biele will discuss how multi-party computation, zero-knowledge proofs, and post-quantum cryptography could allow AI systems to work with protected information while providing evidence that the required rules were followed.
Potential applications include healthcare research involving sensitive patient information, financial fraud detection, and policy enforcement within critical infrastructure.
Building Industry Standards
OpenMatter is also working with DAIAA and Hashgraph Online on standards for verifying how autonomous AI agents execute instructions and follow policies.
The company is leading the Cryptographic Agent Execution Standards Working Group, which aims to establish common approaches for verifying AI agent behavior.
OpenMatter believes verification needs to become an industry-wide capability rather than remain limited to a single technology or company.
As AI becomes more autonomous and organizations increasingly collaborate across systems they do not fully control, the ability to prove that data was handled correctly, computations were performed accurately, and policies were followed could become an important part of future computing infrastructure.
About OpenMatter Network
OpenMatter Network, headquartered on Florida’s Space Coast, is developing what it describes as a Verifiable Trust Layer for Secure Collaboration and AI Agents.
Its architecture focuses on cryptographically verifiable computing, secure collaboration, governed AI behavior, and mathematically verifiable execution across environments where traditional trust cannot always be assumed.
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