colf

Advancing machine intelligence through quantitative research.

Our mission is to develop AI systems capable of conducting increasingly sophisticated quantitative research.

We believe advancing research intelligence requires more than scaling models. It requires environments in which models can formulate hypotheses, design experiments, reason under uncertainty, and learn from verifiable outcomes.

Financial markets provide a uniquely demanding setting for this work. They combine complex, evolving systems with abundant data, rigorous experimentation, and measurable consequences.

We focus on two complementary efforts:

• Research intelligence: Developing methods and environments that improve the ability of AI systems to conduct autonomous quantitative research.
• Quantitative trading: Building and operating systematic trading and market-making strategies, applying rigorous research to real financial markets.

Our long-term ambition is to advance the methods through which machine intelligence learns to discover, reason, and conduct research independently.