Jeeves

Jeeves is the research system we’re building for an AI-native hedge fund at Berkeley Street Capital Middle East, a $500 million digital-asset hedge fund based in Abu Dhabi. Portfolio managers need to understand why an investment idea deserves capital. Jeeves connects the hypothesis, agent research, underlying data and evaluation evidence so they can inspect that reasoning. GPT-6 Astra agents work across Chief Investment Officer, Portfolio Manager and Quant Researcher roles. They develop signal and regime candidates: signals express trading conviction, while regime models identify changing market conditions. Deterministic code evaluates candidates, and graph memory preserves relationships between data, hypotheses, findings and failures. During the hackathon, we built a native Rust terminal CLI over our existing research engine to enable observability, added Research, Results and Graph views, and developed a shared agent development and integration workflow. The terminal lets a portfolio manager inspect research output, component definitions, strategy reports, and steer future research decisions for trading. Our ambition is to build an AI-native hedge fund where research scales beyond human bandwidth, and every investment decision remains grounded in evidence.