About
We build AI agent-based simulations to stress-test trading strategies and manage real-world market risk.
If you've ever watched a trading strategy get destroyed by a four-sigma event or sold just before a large move up, you know what's missing from the trading software marketplace. This is why our mission is to create the premier risk management platform for trading any type of asset.
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Leadership
Jonathan Haynes, Ph.D.
Founder & CEO
Jonathan founded Embedded Markets to bring AI agent-based simulation and complexity science to trading risk management. He holds a Ph.D. in Sociology from Stanford and completed postdoctoral work at the Northwestern Institute on Complex Systems (NICO) and the Kellogg School of Management. He graduated magna cum laude from Brown with an A.B. in Economics and Anthropology. He led data science teams for over a decade and later led a global forecasting, pricing, and analytics team at a pharmaceutical firm before founding Embedded Markets. This academic and professional experience shapes the company’s approach to modeling reflexive, social markets.
