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Fere AI, an autonomous agent platform for financial markets, announced $1.3 million in funding in April 2026, led by Ethereal Ventures with participation from Galaxy Vision Hill and Kosmos Ventures.
Fere is building a platform where autonomous AI agents manage users’ financial activities. Users describe desired outcomes in plain language, and the agent handles the workflow end to end—researching, waiting, executing, and learning from outcomes—running continuously until the strategy is complete.
The platform is live on digital asset markets and operates across Ethereum, Solana, Base, Arbitrum, BNB Chain, and Polymarket. Fere said it has processed over 10 million autonomous agent actions, covering activities from real-time research and signal detection to on-chain trades and prediction market positioning.
Fere’s agents are designed to support recurring strategies that run on a user’s schedule, as well as “playbooks” that can be deployed with a single click. The platform also supports autonomous activity across venues, including Polymarket, and can scan sentiment across social and community channels such as Twitter, Discord, Telegram, and Reddit before executing when signals align.
According to the company, agents operate without users managing bridging or gas fees, and every agent action is described as auditable and reproducible, with users able to set parameters, define limits, and review activity.
Akshaya Aron, co-founder and CEO, said the way most people interact with markets is “broken,” describing a workflow that requires users to monitor screens, move between signal groups and trading venues, and act before price moves. Aron said Fere is intended to let users describe what they want and have agents handle the rest.
Pranav Prakash, co-founder and CTO, said other trading tools typically show what is happening, while Fere is designed to take action.
Fere said its agents maintain persistent memory, including preferences, risk tolerance, research performed, trades made, and how markets have shifted. The company also described agents as self-improving, using reinforcement learning running continuously against live market environments so that strategies that work are reinforced and those that do not are refined.
Fere said the agent framework is built to evolve based on real outcomes rather than simulated ones, and that the agent working for a user next week is “measurably sharper” than the one working today.
Fere said digital assets are the first market where AI agents can operate independently because agents can hold wallets, sign transactions, move capital across venues, and participate without a human confirming each step. The company also said digital markets provide dense real-time feedback, including signals from social, news, and on-chain data.
Fere described its approach as a starting point, with the same agent framework intended to expand beyond digital assets into other asset classes. The company said the backend is asset-class agnostic, while endpoints and regulation would change.
In “What’s Next,” Fere said the funding will accelerate development of deeper intelligence, broader market coverage, more powerful self-improving strategies, and an API for developers to build on top of the platform.
Fere said co-founders Aron and Prakash have been building AI together since 2014, citing over eleven years of experience, three ventures, and successful exits. The company said their prior work included autonomous AI systems deployed at Fortune 100 companies in pharmaceutical manufacturing and industrial operations.
Fere AI said it is live across digital asset markets and Polymarket, with infrastructure intended to expand into every asset class. The company reported over 10 million agent actions and described its platform as “always on” and “always learning.”
Website: fereai.xyz | Docs: docs.fereai.xyz | Twitter: @fere_ai
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