Quantamental is a relatively recent term in finance, bringing together two established approaches to investing: quantitative analysis and fundamental research. Rather than treating them as competing methods, a quantamental framework integrates both into a single, structured process.

While markets sold off, AI fundamentals strengthened meaningfully. Investing is ultimately a process of Bayesian updating, where each new data point shifts the probability distribution of outcomes. In Q1, several high-signal data points emerged that materially increased the probability of a much larger AI opportunity. The magnitude and consistency of recent progress suggest we are earlier, and the outcome is likely bigger than previously assumed.

Private markets are becoming increasingly accessible to institutional investors and wealth investors through semi liquid Evergreen funds. These vehicles offer regular subscription and redemption opportunities, bringing a level of flexibility traditionally absent from private assets. Yet the underlying investments remain long-term and inherently illiquid. How can a fund offer periodic liquidity while investing in assets designed to be held for years?