In a major leap toward open AI innovation, Fraction AI has officially launched its mainnet on Base, the Ethereum Layer 2 network backed by Coinbase. After months of testnet activity, the decentralized platform—known for enabling users to create and train AI agents—has transitioned into a live environment.

Fraction AI’s model is a bold departure from the current AI landscape dominated by centralized tech giants. Built on a novel training method called Reinforcement Learning from Agent Feedback (RLAF), the platform empowers over 320,000 users to deploy AI agents into gamified, real-world scenarios. These agents compete in “Spaces,” tackling challenges such as financial modeling, copywriting, and coding.

In testnet alone, users created over 1.1 million agents and generated more than 30 million data sessions. Fraction AI also dominated Sepolia testnet activity, processing over 90% of wrapped ETH volume—a sign of substantial developer interest.

Now on Base, users can earn Fractals (proof-of-contribution tokens) and stake assets while helping their agents evolve. The project has drawn backing from Spartan, Borderless, Anagram, and Symbolic Capital, and is advised by veterans from Polygon, NEAR, and 0G.

With broader themes of decentralization, open access, and permissionless AI innovation, Fraction AI may be more than just another Web3 project—it’s part of a potential shift in how artificial intelligence is built, trained, and owned.

Is FRAC worth watching?
For those tracking the intersection of AI and crypto, Fraction AI’s rollout could be a significant signal. Whether the token becomes investable or not, the platform’s utility-focused design and user-driven learning loops could make it one of the more compelling AI projects in the space.

This article is for informational purposes only and does not constitute financial advice or an investment recommendation.