AI for Multifamily Underwriting That Saves 15 Hours a Month
In commercial real estate, speed and accuracy can make the difference between winning and losing a deal. Multifamily investors, brokers, and lenders spend countless hours pulling numbers from rent rolls and T12 operating statements into Excel. QuickData.ai changes that by using AI to automatically extract and map this data into any underwriting model, saving an average of 15 hours every month.
Automate Rent Roll Extraction
Manually copying data from a rent roll into Excel is slow and prone to errors. QuickData.ai uses AI for rent rolls to read your file, extract the key details, and place them directly into your model. Whether it is unit counts, market rents, or lease start dates, everything lands exactly where you need it.
AI in Commercial Real Estate
QuickData.ai applies AI for multifamily underwriting in a way that is both powerful and practical. It supports a variety of rent roll formats and T12 layouts, so there is no need to reformat or retype data. You upload the file, review the extracted values, and link them to your underwriting model in seconds.
Better Underwriting in Less Time
The time saved goes beyond the 15 hours per month. With data extraction automated, your team can focus on analyzing deals instead of preparing spreadsheets. Faster underwriting means more deals reviewed, more bids submitted, and fewer opportunities missed.
Accuracy You Can Trust
QuickData.ai reduces the risk of human error. Every number comes directly from the original document, eliminating the small mistakes that can lead to big differences in valuation.
Built for Multifamily Professionals
Whether you are an investor reviewing acquisitions, a broker preparing a marketing package, or a lender assessing a loan, QuickData.ai removes the repetitive work from your process. It works directly in Excel, so you keep the models and workflows you already use.
QuickData.ai delivers a simple promise: automate rent roll extraction and T12 data entry so you can spend more time making decisions and less time typing numbers. In a competitive market, that edge can be the difference between closing and missing the deal.
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