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Sequoia-backed Catalyst raises $30 million to build AI trading agents for everyday investors

Reported by Fortune
Oct 8, 2026· 2 min read
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Key Takeaways
  • • Catalyst, a startup building AI trading agents for retail investors, raised a $30 million seed round led by Sequoia Capital, according to Fortune's exclusive report.
  • • Other investors in the round include Jump Trading, PeakXV, Lux Capital, AntiFund, Coinbase, and Premji Invest.
  • • The platform converts natural language instructions into trading strategies and executes them, with reports indicating human approval is part of the process.
  • • Cofounders Justin Zheng (25) and Dylan Iskandar (21) launched Catalyst in 2025 with the goal of making a complex financial landscape navigable for everyday investors.
Summary
Catalyst, a startup focused on AI-driven retail trading, has raised a $30 million seed round led by Sequoia Capital, Fortune reported on October 8, 2026. Other participants in the round include Jump Trading, PeakXV, Lux Capital, AntiFund, Coinbase, and Premji Invest. The company was cofounded in 2025 by Justin Zheng and Dylan Iskandar, both of whom have backgrounds in technology and quantitative work. Zheng, 25, previously built a Village Global-backed biometrics startup and later joined Sam Altman's Worldcoin, while Iskandar, 21, published cybersecurity research for the U.S. Department of Defense while still in high school.

According to the Fortune article, the founders identified a gap in the market: the proliferation of new financial assets has made markets too complex for individual investors to navigate effectively. Zheng argued that recent advances in AI capable of processing large volumes of information could address this, stating that no current provider is "actually helping to preserve and grow your capital." Catalyst's stated aim is to serve as a platform that safeguards investor capital and helps users reach their financial goals.

The product works by translating natural language instructions into trading strategies and then executing those strategies. Industry coverage of the round describes the system as seeking to execute trades with human approval, though the primary reporting does not detail the approval mechanism, the company's current user base, or its regulatory arrangements. Additional details on valuation and timing of product availability were not disclosed in the available reporting.

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Sources

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AlphaMaven summarised this story from the reporting below. Each link opens the original article.

Fortune Sequoia-backed Catalyst raises $30 million to build AI trading agents for everyday investors