The Problem We Couldn't Ignore
We came to real estate from technical backgrounds: computational chemistry and mechanical engineering. Both fields run on reproducible models and verified results. When we started underwriting multifamily deals, we found the opposite: Excel spreadsheets with circular references, hidden errors, and broker assumptions buried three tabs deep.
One deal analysis showed a 9.2% cash-on-cash return. A month later, we found a formula error in the base rent row. The real number was 6.1%. The deal had already moved to LOI. That was the moment we decided to build something different.
Scientists and engineers do not accept "it looked right" as a QA process. The same rigor that applies to quantum simulations or load-bearing mechanical design applies to underwriting: systematic inputs, verified outputs, explainable results. That's what we built.
Why We Are Different
Most underwriting tools were built by software developers who studied the real estate market. We built ours from the investor side. We know which broker assumptions inflate NOI. We know which T-12 line items need to be normalized before you model. We know that a 7.5% cap rate means nothing without knowing the vacancy rate trend in that submarket.
MultiVest Engine is not a calculator wrapped in a dashboard. It is an AI system that reads your documents, flags what's wrong, scores the deal across 8 dimensions, and tells you exactly why it reached that verdict, using the same explainability techniques (SHAP and LIME) that financial institutions use to audit their own models.
