OpenMatter Network Adds New Tools for Secure AI and Data Collaboration
aiinsider ·
OpenMatter Network, less than three months after its commercial launch, expanded its platform with new tools for secure AI model management, application development, privacy-preserving machine learning, and data collaboration. The additions include MatterSDK, MatterVault, Model Router, and MatterML V2. MatterSDK provides developers streamlined access to MatterChain capabilities, while MatterVault uses threshold cryptography to distribute key shares and protect API keys and credentials. Model Router offers a single gateway for managing access to AI models from providers such as OpenAI, Anthropic, and Google, as well as self-hosted endpoints. MatterML V2 enables multiple organizations to jointly train or run models on combined data without exposing underlying information, and early benchmarks indicate a 1000x increase in efficiency. The platform also supports communities that let research groups organize around datasets, set privacy levels, and govern endorsements. CEO Renee Davis emphasized that these features demonstrate the extensible Verification Architecture, which is designed to evolve with future computing changes rather than being a fixed solution.
aiinsider