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

 Artificial intelligence is becoming one of the biggest drivers of innovation in commercial real estate, and few people have been more vocal about its practical applications than David Bratslavsky. During his appearance on the Joe Fairless Podcast, David Bratslavsky discussed how AI-powered underwriting is changing the way multifamily investors evaluate opportunities, reduce manual work, and make better investment decisions. Rather than focusing on futuristic predictions, the conversation centered on how AI is already improving real estate operations today. From launching QuickData.AI to helping acquisition teams streamline underwriting, David Bratslavsky shared valuable insights for sponsors, passive investors, and commercial real estate professionals alike. Why AI Matters More Than Ever Throughout the interview, Joe Fairless focused on one important question: How does artificial intelligence create real value for investors? David Bratslavsky explained that technology only matters...

 As technology companies grow, leaders often face a critical decision about the future of their products. Some choose to keep their technology entirely within their own platform, while others look for ways to extend their reach through partnerships. For David Bratslavsky, founder of QuickData.AI, the answer became clear after observing how the commercial real estate technology market was evolving. QuickData.AI was originally developed to solve a major challenge in multifamily real estate underwriting. Analysts and acquisition teams spent countless hours manually reviewing rent rolls, T12 financial statements, and offering memorandums before they could begin evaluating investment opportunities. By automating document extraction and data organization, QuickData.AI significantly reduced the time required to complete these tasks. As adoption increased, something unexpected happened. Other software companies operating in the proptech sector began reaching out with a similar request. T...

  Commercial real estate has always been an industry built on information, but for decades that information moved slowly. Documents passed through inboxes, analysts transferred numbers into spreadsheets, underwriting teams created static models, and asset managers worked from reports that often reflected conditions weeks or months after they had already changed. According to David Bratslavsky, that operating model is approaching a breaking point. After spending years inside commercial real estate workflows and observing how firms process deals, evaluate opportunities, and manage portfolios, he believes artificial intelligence will not simply improve existing systems—it will fundamentally change how the industry works.   David Bratslavsky view is not centered around dramatic predictions about machines replacing professionals. Instead, he sees the future being built through something less glamorous but far more important: eliminating friction in how data moves across organizat...

  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...