Biophy Capital Management

Biophy deploys proprietary machine-learning models to perform the initial screening of hedge fund managers, evaluating quantitative attributes such as performance persistence, factor decomposition, and capacity analysis. This model identifies managers with attributes historically correlated with future alpha generation. The machine-first sequence is designed to surface high-conviction, often capacity-constrained managers that qualitative screens might overlook.

Biophy constructs portfolios spanning equity long/short, credit, event-driven, and relative value strategies. The firm seeks managers across the liquidity spectrum, including those running more concentrated or capacity-constrained books. Allocation decisions are driven by the output of its machine-learning models, which continuously reassess the opportunity set.

Biophy targets institutional limited partners including endowments, foundations, family offices, and pension funds. The firm officially launched services to external institutional investors in 2024, making it a relatively new allocator in the institutional fund-of-funds landscape.

Biophy operates as a pure fund-of-funds manager, allocating capital to external hedge fund managers rather than making direct investments. This structure is designed to provide institutional clients with diversified, risk-managed access to a curated set of hedge fund strategies selected by its machine-learning platform.

The primary differentiator is Biophy's machine-first manager selection methodology. Most fund-of-funds platforms rely on a qualitative funnel of consultant databases, capital-introduction meetings, and in-person due diligence to build a pipeline — a process susceptible to behavioral biases. Biophy inverts this by running a quantitative, data-driven screen across a wide universe first, using alternative data and machine learning to identify managers with persistent alpha signals.