Decentralised infrastructure for collaborative AI training and inference.
BUILD WITH FLOCK
FLock.io develops AI research and infrastructure for decentralised model training, federated learning, and model inference.
Train and validate AI models through FLock’s decentralised training platform.
Open AI Arena (opens in a new tab)Refine models collaboratively with federated learning and participants’ local data.
Read the Docs (opens in a new tab)Browse supported AI models and connect through one API.
Explore Models (opens in a new tab)Explore and trade Real Model Asset tokens for AI models.
Explore Model Tokens (opens in a new tab)























Enable organisations/communities keep their data local, maintain fair value distribution, and launch community-driven AI models that can be deployed and monetised globally.
Secure high-value training with advanced Federated Learning and LoRA-based optimisation, reinforced by a proven on-chain incentive system that ensures resilience, accuracy, and fair rewards across the network.
Collaborate with the United Nations Development Programme (UNDP), Alibaba Cloud’s Qwen, and the Ethereum Foundation, providing a privacy-preserving infrastructure that meets real-world security and compliance needs.
Read inspiring stories and genuine feedback from users who have experienced exceptional results.





and more...
Stay in touch

Top-down AI pilots, it turned out, were the completely wrong approach. It was the go-to way for organisations to adopt generative AI after it took off. It mimicked the top-down SaaS era, during which the C-suite selected ready-made tools then rolled them out across departments. But they struggled with adoption, with 95% failing to reach production.
FeaturedOur Chief Scientist Dr.Cheng gave a truly inspiring keynote on decentralized scaling in AI. He unpacked the growing risks of LLM hallucinations and scheming behavior in centralized systems...
FeaturedFLock has partnered with Qwen – a tier 1 open-source LLM, developed by Alibaba Cloud. This is the first time a major Web2 LLM has chosen to deeply integrate with a decentralised training platform...