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.





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Built on Qwen3.5-2B and with Qwen and Alibaba Cloud’s support, FLock.io’s new, fast, lightweight AI System One/decision model delivers sub-31ms local inference, achieving up to 5x the performance of enormous closed-source models on decision-making tasks. The news follows a wave of new decision models such as Typesafe's Jev and Microsoft-Decision-1.
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...