A short note before we begin

Real estate investing has always involved forming judgment under uncertainty.

Over time, valuation frameworks emerge — shaped by experience, market cycles, and the collective memory of past decisions. As new data and analytical tools evolve, I have become increasingly curious about how these familiar approaches might also change.

This letter shares a personal perspective informed by recent academic research, industry observation, and the ongoing process of learning while building technology for the investment community.

These reflections are also shaping how we are thinking about product design at Reml — and we look forward to sharing more tangible examples in the coming months.

Welcome to The Reml Letter — a monthly note where I explore emerging technology and its real-world impact on investment decision-making.

This month, I’d like to explore why AI won’t replace analysts — and how it will redesign workflows in institutional real estate investing.

Welcome to The Reml Letter — a monthly note where I explore emerging technology and its real-world impact on investment decision-making.

AI is not a finished product; it’s a learning journey. The technology is evolving quickly, and so is how it’s being applied. Through this letter, I invite you to learn alongside me — through observations shaped by building at the intersection of technology and industry.

I write from a dual vantage point: eight years in institutional investing, and now, building an AI company (Reml) in Silicon Valley. This letter is my attempt to bridge those two worlds — translating fast-moving technological advances into practical insight for an industry where decisions are high-stakes and judgment matters.

For this first issue, at the opening of 2026, I’d like to explore the current state of AI agents — and what effective, responsible deployment looks like in practice for institutional investors.