OpenMatter Network Inc. today launched a platform it says lets organizations collaborate, run sensitive workloads and deploy artificial intelligence agents across computing environments they do not fully control, using cryptography to prove what happens rather than trusting that it happened.

The Melbourne, Florida-based startup is pitching the product as a “verifiable trust layer” built on a premise it sums up as “Don’t Trust Data. Prove It.” The pitch is that organizations should be able to mathematically verify how their data is used and how AI systems behave, rather than assuming the underlying systems are secure.

The launch comes as enterprises increasingly run AI agents that act on their own across applications and organizational boundaries. Its argument: trust-based security falls apart once data and AI workloads land in systems a company does not own.

The platform does not replace anything. It sits on top of the cloud, data and AI tools a company already runs, adding cryptographic verification and tighter control over how workloads execute. The company says it pairs that verification with enforceable policy controls and a distributed architecture.

OpenMatter’s platform centers on three components. Masked Compute allows execution and computation across organizations without exposing the underlying data. QuantumGuard handles policy enforcement and governance for AI agents working across different systems. Datavizor acts as a visibility layer, producing what the company describes as a cryptographically provable record of execution and AI activity.

“For decades, organizations have been asked to trust the systems they rely on,” said co-founder and Chief Executive Renee Davis. “We believe the next generation of digital infrastructure will be built on proof. They don’t need to replace the infrastructure they already rely on, they need the ability to verify what happens across it.”

Co-founder and Chief Technology Officer Ada Anderson framed the gap in governance terms, arguing that “policy prompts and assumed compliance are not enough” and that organizations cannot govern what they cannot prove happened.

The target market is anywhere sensitive data changes hands between parties. OpenMatter said the platform suits healthcare collaboration, secure AI model training, financial analytics and distributed scientific research. It has an early partnership with Dara AI Ltd., a privacy-focused health data platform, to explore whether the technology can generate healthcare insights without compromising the privacy of the individuals behind the data.

OpenMatter did not disclose pricing, or general availability. Founders Davis and Anderson have backgrounds in secure systems architecture, distributed computing and cryptography.

Image: OpenMatter