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

 Artificial intelligence in commercial real estate does not always need to begin with a massive technology transformation. Sometimes, the most useful starting point is one repetitive process that consumes too much employee time. For David Bratslavsky, that starting point was multifamily underwriting. Analysts frequently work with rent rolls, trailing financial statements, offering memorandums, and other property documents before they can complete an investment analysis. Much of the information already exists. The difficulty is transferring it accurately into the models and systems used by the investment team. QuickData.ai was created to address that bottleneck. A Different Approach to Real Estate Automation Many commercial real estate companies have spent years developing spreadsheets and internal processes that fit their investment strategies. Their Excel models may contain customized formulas, assumptions, formatting, and approval requirements. Replacing those systems is not nece...

 Artificial intelligence is rapidly becoming an essential business tool across commercial real estate, but David Bratslavsky believes technology alone is not enough to create a competitive advantage. The firms that achieve the greatest success are those that learn how to integrate AI into their daily operations while keeping experienced professionals in control of every important investment decision. As transaction activity increases and more opportunities reach acquisitions teams, firms face a familiar challenge. Analysts must process rent rolls, operating statements, offering memorandums, and supporting documents before they can determine whether a property deserves further evaluation. This manual work often slows the entire investment process, limiting the number of deals a team can review each week. David Bratslavsky has built his approach around removing this operational bottleneck. Rather than replacing analysts, he focuses on eliminating repetitive administrative work so p...

 Commercial real estate has always depended on accurate financial analysis. Whether evaluating an apartment community, office building, or mixed-use property, investors rely on organized information before making important decisions. Yet one challenge continues to consume valuable time across the industry—preparing financial data for analysis. Although sophisticated underwriting models have evolved over the years, the process of gathering information often remains surprisingly traditional. Analysts still spend countless hours reviewing property documents, locating financial figures, and transferring numbers into spreadsheets before any meaningful evaluation can begin. David Bratslavsky believes this forgotten stage of the investment process deserves far more attention than it receives. Instead of chasing technology that promises to predict successful investments, he focuses on improving the daily workflows that every commercial real estate team performs. His philosophy centers ...

 For years, commercial real estate firms measured their competitive strength by the amount of capital they could deploy or the relationships they maintained with brokers and lenders. Those advantages still matter, but today's market demands something different. With more investment opportunities returning to the market, the ability to process information quickly has become just as valuable as the capital behind an acquisition. Every property acquisition begins with data. Before investors can determine whether a deal deserves serious consideration, they must understand occupancy trends, rental income, operating expenses, historical performance, and future potential. The information already exists inside offering memorandums, rent rolls, financial statements, and lease documents. The challenge has never been finding the information—it has been organizing it efficiently. David Bratslavsky believes this operational bottleneck is one of the biggest reasons firms miss attractive inves...

 Commercial real estate professionals are no strangers to spreadsheets. For decades, Excel has been the foundation of multifamily underwriting, helping investors evaluate acquisitions and measure financial performance. Yet according to David Bratslavsky , the greatest inefficiency today is not the spreadsheet itself—it's the hours analysts spend manually entering information before they can even begin analyzing a deal. As transaction activity increases, acquisition teams are expected to evaluate more properties with fewer resources. Every listing arrives with extensive documentation that must be reviewed, organized, and transferred into underwriting models. The process remains largely manual despite rapid advances in artificial intelligence. An Industry Built Around Repetitive Tasks Every multifamily acquisition begins with collecting financial information. Analysts review rent rolls, trailing twelve-month operating statements, property summaries, expense reports, and offering...

 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...

  Over the past few years the artificial intelligence has transformed countless industries but few people have had as much impact on multifamily realestate data automation as David Bratslavsky. As the founder of QuickData.AI, Bratslavsky has focused on solving one of the industry most persistent challenges. the timeconsuming process of collecting, organizing and analysing property data. His mission is simplehelp brokers, lenders and investors spend less time entering information and more time making informed decisions. Many professionals first encounter David Bratslavsky through industry conferences, podcasts or conversations on LinkedIn. His growing reputation stems from his practical approach to AI implementation. Rather than promoting futuristic concepts, he concentrates on delivering measurable improvements that make real estate underwriting faster, more accurate and more efficient. Interestingly, David Bratslavsky path to Protech entrepreneurship was far from traditional. ...

  David Bratslavsky is a technology entrepreneur, operator, and speaker using AI to reshape how multifamily real estate gets underwritten and the founder behind QuickData.AI's  10x faster  deal workflow. I help businesses cut operational costs by 30% in 90 days by using proven AI automation that actually work. As a Fractional CTO and business automation expert, I specialize in deploying AI systems that eliminate manual bottlenecks, accelerate revenue generation, and reduce overhead without the cost of a full-time executive. My focus areas: Real Estate AI: automating multifamily underwriting, lead qualification, property analysis, client communications, and deal tracking so teams close and manage assets at lower cost. Operations Automation: identifying the critical workflows draining time and money, then replacing them with intelligent, scalable systems Revenue & Cost Optimization: building automations that directly impact the bottom line: more revenue in, fewer dollar...