How David Bratslavsky Expanded AI From Multifamily Underwriting to CRE Operations
Commercial real estate has never lacked data. The challenge has always been turning that data into useful information quickly enough to support better decisions. Rent rolls, operating statements, leases, offering memorandums, budgets, and property reports contain valuable details, but analysts and managers often spend significant time moving those details between documents and spreadsheets. David Bratslavsky saw this challenge firsthand while working on multifamily underwriting workflows. His response was QuickData.ai, an AI-powered approach designed to extract information from real estate documents and place it into the Excel models investment teams already rely on. The objective was not to replace the underwriting model. Instead, QuickData.ai was designed to reduce the manual work required before analysts could actually use the model. Solving the Data-Entry Bottleneck A typical underwriting process can involve reviewing a rent roll, analyzing historical operating statements, stu...