Gleneas is an independent research initiative focused on understanding large-scale economic and financial dynamics. Our work combines macroeconomic theory, econometrics, and modern machine learning to analyze regimes, transitions, and systemic risk.

Rather than producing short-horizon forecasts or discretionary market views, we emphasize structural signals, probabilistic inference, and long-horizon conditioning. The goal is not prediction for its own sake, but clarity around uncertainty, persistence, and non-linear behavior.

Our research is designed for practitioners, institutions, and curious minds who value transparency, methodological rigor, and data-driven insight over narrative.