AI Quant Labs, an Atlanta-based startup specializing in automated cryptocurrency trading, launched its AIQuant platform on Thursday, aiming to leverage a new AI platform that provides cryptocurrency investors with access to bots that never sleep.
The trading platform allows users to create and deploy autonomous agents across multiple blockchains, marking another step in a broader trend of automated tools moving from professional desks to individual investors.
AIQuant is embarking on that change by promising an “end-to-end” AI trading experience that integrates everything from strategy design to execution.
“AIQuant.fun puts hedge fund-grade tools into the hands of everyday traders,” said founder Marlon Williams. decryption. “Unlike closed bots, our platform allows anyone to create and refine their own autonomous trading strategies without writing any code.”
Through a combination of automation, gamification, and community incentives, the startup is betting on giving traders who have previously been hesitant to use trading bots a chance.
AIQuant aims to take high-frequency trading beyond traditional financial institutions by providing traders with access to AI agents that operate 24/7. Williams’ argument is simple. “Money never sleeps and should never be traded.”
Traders can develop autonomous agents that analyze real-time data and execute trades according to preset strategies. Unlike human traders, these AI agents operate 24 hours a day, a feature the company says removes emotion from trading and increases consistency.
As Williams explained, the AIQuant bot is more than just a ChatGPT knockoff.
“AIQuant.fun agents can chat with quants, but they are not chatbots or image generators,” he said. “These are trading strategies that process market data and execute logic-based trades built around performance.”
At launch, AIQuant supports decentralized exchanges on Base, Solana, and BNB Chain, with plans to expand to other blockchains. According to the company, setting up AI Quant takes just a few clicks, lowering the barrier to entry for beginners and providing a sufficiently sophisticated tool for advanced users.
“AIQuant.fun does not run any centralized bots. Each strategy operates through audited smart contracts with creator-defined parameters to limit exposure,” Williams explained. “Users define assets, position sizes, and risk thresholds in advance. Quants cannot move outside these guardrails, so execution always remains within the limits set by the creator.”
Instead of relying on subscription plans, AIQuant adopted a one-time “incubation fee” model. Users pay a one-time fee, initially in Ethereum and then in the platform’s AIQ token, to activate the trading agent. Each AIQuant agent includes features such as adaptive stop-loss and take-profit settings, customizable evaluation criteria, and slippage control.
“As adoption increases, demand for AIQ will scale directly with platform usage,” Williams says. “Tokenized quants built on bonding curves will create new mechanisms for ownership and liquidity, further deepening AIQ’s role at the heart of the ecosystem.”
Later this year, the platform plans to roll out additional functionality tied to the bonding curve mechanism. The update introduces a “core mode” that enables quantitative tokenization, and the company says it adds a “gamified experience.”
Analysts say that while AI-driven strategies can outperform humans under certain conditions, they also raise questions about market stability and fairness. The rise of retail-focused AI bots could lead to increased competition for liquidity on decentralized exchanges, squeezing profits and amplifying sudden price fluctuations.
Despite these concerns, the announcement comes as algorithmic and AI-assisted trading, from autonomous bots in prediction markets to retail tools that analyze data and execute trades in real-time, is rapidly growing and increasingly taking over crypto trading.
