Flock.io and Walrus have partnered to bring secure, community-owned AI development. The partnership will bring Walrus’s decentralized data layer and SEAL encryption to Flock.io.
The first decentralized AI training platform, Flock.io will build on Walrus as its core data layer to bring secure, privacy-preserving AI model development to the Sui ecosystem. The partnership will also bring Walrus’ data storage, availability, programmability, and access controls to Flock.io, adding to its innovative approach to AI development.
Flock.io uses Federated Learning and blockchain to enable communities to build, train, and own AI models without centralizing sensitive data. It provides AI Arena for competitive model training, FL (Federated Learning) Alliance for privacy-focused collaboration, and Moonbase for decentralized model hosting, offering an end-to-end stack for open, community-governed AI development.
Jiahao Sun, Founder & CEO of FLock.io said:
“Previously, our data solutions either lacked decentralization or encryption, creating onboarding hurdles. Walrus changes that. It gives us a fully decentralized, encrypted storage solution for gradients, which means we can confidently expand our FL Alliance and bring more secure AI training to our users.”
The integration with Walrus begins with the first phase, which focuses on strengthening FLock.io’s FL Alliance with Walrus and SEAL, while the next phase will involve fine-tuning an open-source foundation model, optimized for agentic interactions within the Sui environment.
Also commenting, Rebecca Simmonds, Managing Executive of the Walrus Foundation, said:
“Walrus provides the global data layer for builders, giving them full control over their data and new ways to create value. Our collaboration with FLock.io showcases the power of Walrus for decentralized AI, enabling a truly secure and programmable foundation for cutting-edge AI model development.”
In the future, the two platforms aim to deliver an actual agentic AI experience on Sui through open collaboration and hands-on development. Their target is to reach a functional prototype, comparable to a “Copilot for the Sui Blockchain,” capable of Move-native code generation, smart contract assistance, and context-aware agentic reasoning.
The partnership opens new avenues for building more collaborative, private, and powerful AI models, creating value and control for developers in the latest data economy by combining secure data infrastructure with innovative federated learning.
