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Can AI actually find hedge fund trades a human would miss?

In this episode of Making Billions, Ryan Miller sits down with Jan Szilagyi, CEO and co-founder of Reflexivity, the AI investment analysis platform used by firms including Soros Fund Management and MUFG.

How do hedge funds use AI to find trade ideas? What is a knowledge graph in finance? How do you stop AI from hallucinating numbers when real capital is on the line? Can a small fund use AI to compete with a multi-manager giant?

Jan answers all of it from a two-decade macro career that included trading alongside Stan Druckenmiller at Duquesne and running a 15 billion dollar book.

Together, we discuss why the expression of a trade idea matters more than the idea itself and how a knowledge graph maps market ripple effects a spreadsheet cannot show.

Learn why AI is a leveler for fund managers and how to run scenario analysis before risking capital. 

[THE HOST]: Ryan Miller is a fund manager, capital strategist, and former CFO turned angel investor in technology and energy. He is the founder of Fund Raise Capital and Aequor Capital Partners, and has mentored over 1,000 fund managers across private equity, private credit, venture capital, real estate, and alternative assets globally.

[THE GUEST]: Jan Szilagyi is CEO and co-founder of Reflexivity, the AI investment platform used by Soros Fund Management and MUFG. At Reflexivity, he pairs large language models with a proprietary knowledge graph to surface trades and map risk in a zero-hallucination environment. Holds the world record for the fastest Harvard Economics PhD. 

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