Catalyst raises $30 million seed round for AI-assisted trading, led by Sequoia

Catalyst has raised $30 million in seed funding led by Sequoia Capital, according to PANews, citing Fortune. Jump Trading, Peak XV, Lux Capital, AntiFund, Coinbase and Premji Invest also participated. Founded in 2025 by Justin Zheng and Dylan Iskandar, the startup aims to help ordinary investors formulate and execute trading strategies using AI agents. Users describe investment goals in natural language; the agents translate those goals into strategies and handle asset selection, cost optimization and trade execution, with final trades requiring user confirmation. Catalyst has completed a testing round with high-frequency trading users.

The company sits within financial-services AI, where the strategic question is whether an agent can connect investment intent to a useful transaction workflow. Its described scope reaches beyond conversational advice into asset selection and execution, making workflow reliability central to the product's value. The user-confirmation requirement also defines a meaningful boundary on autonomy: the system prepares and coordinates trading decisions while investors retain approval over final transactions. The funding backs that approach, but the reported test does not establish performance or adoption among ordinary investors.

For builders and investors, the concrete diligence priority is evidence that natural-language goals translate into strategies users understand and approve. Evaluation should examine asset-selection quality, execution costs and the clarity of the confirmation step, rather than treating a completed test as proof of investment returns. The gap between the high-frequency users involved in testing and the ordinary investors Catalyst intends to serve is particularly relevant when assessing whether the workflow fits its target audience.