OpenMatter adds an AI model gateway and privacy-preserving machine learning

OpenMatter Network Inc. has significantly expanded its platform since its commercial launch three months ago. The company added a developer kit, a gateway for managing access to AI models from multiple providers, a rebuilt privacy-preserving machine learning engine, and a marketplace for computing across data without any transfer of ownership.

OpenMatter, a Melbourne, Florida-based startup, launched in June with a platform that uses cryptography to prove what happens to data and what an AI agent does without requiring customers to trust the underlying systems. The new Verification Architecture, added to the existing stack, sits above the cloud, data, and AI tools a company already runs.

The MatterSDK developer kit allows applications to reach the platform's cryptographic verification functions through a single client layer without direct calls to the underlying infrastructure. A secrets manager called MatterVault, part of the developer kit, uses threshold cryptography to protect application programming interface keys and credentials, distributing key shares across several parties to prevent any single machine from decrypting the data.

OpenMatter also introduced a Model Router, a gateway that allows companies running several AI providers to manage them through a single point of access. Routing rules and provider credentials are centrally managed, and switching to a different model does not require redeploying the calling application. The privacy-preserving machine learning engine, MatterML V2, enables organizations to train or run models over their combined information without exposing the underlying data to each other or the infrastructure.

Secure multiparty computation, which typically requires specialist cryptographic programming, is now accessible through a graphical interface. The new Data Marketplace and Communities environment round out the release. Unlike traditional marketplaces, OpenMatter's version allows participants to find and evaluate datasets without transferring ownership, enabling secure sessions for computing across datasets.

Communities applies the same machinery to member-led groups, allowing research and scientific organizations to cluster around datasets, set privacy levels, and govern what they endorse. Co-founder and CEO Renee Davis stated that the June launch established an "architecture designed to grow" rather than a finished destination. All new capabilities are now available to customers on the commercial OpenMatter platform, with pricing not disclosed.