FLock.io is dedicated to building a decentralized artificial intelligence model training network, achieving collaborative training under data privacy protection through federated learning technology. Its core innovation lies in breaking down the computing resources, data contribution, and model verification processes into composable modules, breaking the monopoly of traditional AI development by tech giants like OpenAI.
The project is led by a team of PhD researchers from the University of Oxford’s Computer Science department, with a solid academic research background. In March 2025, FLock completed a $6 million seed funding round, led by Lightspeed Faction and Tagus Capital, with top institutions such as DCG and Volt Capital participating in the funding. This round of financing will be used to expand the team and develop a federated learning-driven AI training platform.
As of June 19, 2025, the real-time price of FLOCK is $0.1504 (approximately 0.051432 BTC), with a 24-hour increase of 8.7%. The market performance exhibits the following characteristics:
Current circulating supply is 110 million (total supply 1 billion), market cap is approximately 16.57 million USD, ranked #1241 on CoinGecko.
Several analytical institutions have provided predictive models for the long-term value of FLOCK, but these predictions show significant differences:
CoinDataFlow’s linear extrapolation shows:
Current technical indicators show a neutral signal:
The decentralized AI track that FLOCK is in has significant growth logic:
There are three major monopolies in the development of existing AI models:
Projects like Bittensor (TAO) and Render (RNDR) are addressing these challenges through token economics.
Project | Token | Core Function | Market Cap |
---|---|---|---|
Bittensor | TAO | Decentralized AI Training | $3.8B |
Render | RNDR | GPU Power Sharing | $1.7B |
Ocean | OCEAN | Data Tokenization | $320M |
FLOCK | FLOCK | Federated Learning Platform | $16M |
Data shows that FLOCK is still an early-stage project, with significant growth potential in market capitalization.
In the short term, you can pay attention to the fluctuation range of $0.135 - $0.16 for swing opportunities. In the medium to long term, it is necessary to closely track three milestones - the launch time of the test network, the number of partner data sources, and the improvement curve of model validation accuracy. The true value anchor of FLOCK does not lie in Price Prediction The model depends on whether it can achieve decentralized training validation for more than 10 enterprise-level AI models by the end of 2025.
The market is always nurturing opportunities amidst skepticism and hiding risks in fervor. When AI meets Web3, the technological revolution and financial speculation are often just a line apart.