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The AI Quant: Autonomous Alpha Engine for Funds and Traders.
Founded by former WorldQuant portfolio manager Jeremie Cohen, KelAI is building the autonomous alpha engine for hedge funds, traders and institutional investors. Investment teams now have more data, tools and compute than ever, but research still runs across siloed systems and inefficient workflows. KelAI turns that fragmented process into a compounding AI-native engine that continuously finds, tests and validates trading signals at a pace no human team can match.
KelAI positions itself as an autonomous investment intelligence platform described as an AI Quant for funds and traders. It emphasizes end-to-end capability from research to trade, focusing on applied AI in quantitative finance.
An autonomous AI-powered quant engine designed for investment workflows, spanning AI research, quant development, and potentially trading execution. The platform aims to provide investment intelligence from research to trade, implying capabilities in data-driven research, model development, and execution or integration with trading processes.
Who it’s for: Funds and traders (quant funds, hedge funds, invest-trade teams).
Founder and CEO of KelAI. 6 years of experience as a quant portfolio manager. Managed a global equity book at WorldQuant and lead an ML team at Millennium Management.
An agentic AI platform that turns hedge fund research into a compounding system.
KelAI is an AI research platform for hedge funds that autonomously runs the full investment research process—from idea generation through backtesting and monitoring—while maintaining a knowledge base of prior research to improve future cycles.
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Agent harnesses for asset managers

AI-Native Investment Research