David Bratslavsky - Founder of QuickData.AI | Fractional CTO | AI × Real Estate Tech

  Entrepreneur journeys rarely unfold exactly as planned, and David Bratslavsky’s story is a good example of that reality. Before becoming known for building QuickData.AI and helping reshape workflows in commercial real estate through artificial intelligence, David Bratslavsky was studying a completely different world — international affairs. His time at The George Washington University did not point directly toward software, AI, or startup leadership. Instead, it introduced him to a way of thinking that would later influence every decision he made as an operator and founder. Looking back, the connection becomes clearer than it first appears. Studying Problems Bigger Than Individuals At George Washington University, David Bratslavsky focused on International Affairs with a concentration in Middle East Studies. The coursework demanded more than memorizing events or political timelines. Students were expected to understand how institutions functioned, how incentives shape...

  For decades, multifamily underwriting has followed a familiar pattern. Analysts receive property documents, spend hours extracting data, organize information into spreadsheets, and then begin evaluating the investment opportunity. While technology has improved many aspects of commercial real estate, underwriting remains heavily dependent on manual effort. David Bratslavsky believes that model is overdue for change. During a recent appearance at CRE AI Studio, Bratslavsky provided a live demonstration of how artificial intelligence can dramatically accelerate underwriting workflows without sacrificing accuracy or control. The demonstration focused on a common multifamily acquisition package. A rent roll, T12 financial statement, and Offering Memorandum were uploaded into QuickData.AI while attendees watched every step unfold in real time. Almost immediately, the software began analyzing the documents. Rent roll information was extracted and organized at the unit level. F...