Catalyst Raises $30M for AI Trading Agents
Catalyst has raised a $30M seed round to build AI trading agents for retail investors.
AI agents are beginning to move from research and productivity into financial execution.
What happened
Catalyst raised a $30 million seed round to build AI trading agents for retail investors.
Users describe an investment objective in natural language, and the system turns that intent into a trading strategy across assets such as digital tokens, tokenised stocks and prediction markets.
The platform is designed to research and construct the strategy while requiring the user to approve execution.
Why it matters
Retail trading is becoming more complex as investors gain access to more asset classes, venues and financial products.
An agent that can translate a high-level goal into a structured trading plan could reduce that complexity, but it also raises important questions around suitability, risk controls and user understanding.
The bigger picture
Financial interfaces may shift from menus and charts toward intent-based systems.
Instead of manually choosing every instrument and trade, users could increasingly tell software what outcome they want and let agents handle the workflow beneath it.
Catalyst is betting that trading will become one of the first consumer-finance categories where that model gains traction.