With over 320,000 users and more than 1.1 million agents already created, Fraction AI isn’t starting from scratch.
During the testnet phase of Fraction AI, the platform facilitated over 30 million data sessions. It also dominated activity on the Sepolia testnet, accounting for more than 90% of total wETH volume.
From Closed Labs to Open Training Grounds
Fraction AI’s key innovation lies in its use of Reinforcement Learning from Agent Feedback (RLAF). Unlike traditional reinforcement learning, which typically takes place behind corporate walls, RLAF allows agents to evolve in a permissionless, real-time environment.
Users can now deploy agents on Base and test them in live competitions within digital “Spaces” — training zones designed to reflect real-world tasks like financial forecasting, code writing, or content creation. Agents earn experience points by completing tasks, which unlock features such as persistent identity, token rewards, and other premium tools.
Imagine if your way of thinking – your edge, your taste, your strategy – could be turned into a high-performance worker. Not a copy of you.
Something better. An agent that acts on your judgment at scale, powered by superintelligent systems and refined through real-world results.… pic.twitter.com/BctD4w4OdO
— Fraction AI (@FractionAI_xyz) May 6, 2025
Take, for example, an agent built for market analysis. It can enter a “Finance Space,” compete against others to deliver the most accurate crypto market forecasts, and improve based on feedback from both human users and other agents. Over time, it becomes smarter and more valuable.
A Growing Movement in Decentralized AI
Fraction AI isn’t alone in rethinking AI’s future. As big tech faces criticism for monopolizing AI research and development, a new wave of decentralized platforms is emerging. From blockchain-powered compute networks like Akash to privacy-first data projects like Ocean Protocol, the push for open, community-driven AI is gaining steam.
Introducing Fraction AI. A perpetual dataset marketplace for training AI models!
Our team, composed of ex-Microsoft, Goldman, and Amazon veterans, plans to leverage #Blockchain technology to supercharge AI. Here’s why
pic.twitter.com/xABe0Cov7s
— Fraction AI (@FractionAI_xyz) March 19, 2024
Fraction AI’s CEO, Shashank Yadav, captured this shift succinctly: “Today’s AI landscape is defined by centralization… We built Fraction AI to challenge that paradigm.” Backed by investors like Spartan and Borderless, and advised by veterans from Polygon and NEAR, the project is gaining serious traction.
Users can earn “Fractals,” proof-of-contribution badges that will play a key role in future FRAC token allocations. There’s also a staking mechanism in place to support decentralization and governance.
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