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

Artificial intelligence is creating new opportunities for commercial real estate companies to improve productivity, automate repetitive processes, and streamline daily operations. David Bratslavsky , founder of QuickData.ai, is helping firms take advantage of these developments by showing them how to integrate AI into their existing business workflows. Rather than relying entirely on off-the-shelf software, Bratslavsky encourages commercial real estate professionals to explore customized AI solutions that address their specific operational challenges. Bringing AI Into Everyday Real Estate Operations Commercial real estate firms manage substantial amounts of information, including rent rolls, operating statements, lease agreements, financial reports, and investment documents. Reviewing these materials and transferring information between systems can consume significant employee time. QuickData.ai addresses one of these challenges by automating financial data extraction and transferring ...

Multifamily real estate investing involves more than identifying properties with attractive financial potential. Before investors can make informed decisions, their teams must review rent rolls, operating statements, offering memorandums, and other property documents. Transferring figures from these sources into spreadsheets can consume hours that would otherwise be spent evaluating deals. David Bratslavsky, founder of QuickData.AI, is addressing this challenge through artificial intelligence and workflow automation. His approach focuses on reducing repetitive data entry while helping commercial real estate professionals work with the financial models and systems they already use. Addressing a Time-Consuming Part of Underwriting Multifamily underwriting depends on reliable property information. Analysts typically gather rental income, occupancy figures, operating expenses, and other financial details before building or updating an investment model. The difficulty is that source documen...

 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...