Origin
Seven years ago at Harvard, during research at the intersection of real estate and asset pricing theory, a question crystallized:
"What if capital allocation could be made autonomous?"
Not digitized. Not improved at the margins. Fundamentally restructured — so that the decisions themselves, the synthesis of data, the application of theory, the identification of risk and opportunity, could be executed by systems built for exactly that purpose. That question is what became Apers.
What We Believe
Capital misallocation has real human costs. When capital flows intelligently — when it finds the right projects, prices risk correctly, avoids the structural failures that compound over years — real outcomes follow. More housing. More innovation. More safety. The stakes are not abstract.
Apers is an AI-Asset Pricing Lab. Our intellectual lineage is Geltnerian: David Geltner pulled real estate into the asset pricing literature, made real estate honest by treating it as the financial asset it always was. We extend that tradition into the age of machine intelligence.
The model we work from is the Combat Information Center on a naval vessel — a room that fused radar, sonar, weather, and satellite feeds into a single coherent picture. Ships stopped reacting to individual signals and started reasoning from a unified state of the world. That is the cognitive infrastructure we build for real estate capital. Not another tool in a stack. A CIC for capital allocation.
The Name
Apers: Autonomous Private Equity Research Systems. The brand is just Apers.
Team
Francis Huang (CEO) and Simon Mendelsohn (CTO). Harvard and MIT. Small team, high conviction.
We are building research that makes capital think. If that is the problem you want to work on, we want to hear from you.
We're hiring →