QuickData.ai

QuickData.ai automates rent roll and T12 data entry into Excel, speeding up multifamily underwriting by 10x.

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Published on:

September 5, 2025

Pricing:

QuickData.ai application interface and features

About QuickData.ai

QuickData.ai is an innovative Excel add-in designed specifically for the multifamily real estate sector. It streamlines the data extraction process by automating the entry of critical information from rent rolls, T12 statements, and offering memorandums directly into Excel underwriting models. This powerful tool is ideal for acquisitions teams, commercial real estate brokers, lenders, and accounting firms who often deal with large volumes of data. By eliminating the need for manual data entry, QuickData.ai saves users an impressive 15 hours each month, allowing them to analyze deals in mere minutes. The integration with existing Excel models ensures a seamless transition, enabling professionals to make informed decisions faster and with greater accuracy. The main value proposition lies in its ability to enhance productivity and significantly reduce human errors in data handling.

Features of QuickData.ai

Automated Rent Roll Parsing

This feature allows users to automate the extraction of rent roll data, effortlessly transferring tenant and lease information into their Excel models. This eliminates tedious manual entry, ensuring data accuracy and saving time.

T12 Parsing

QuickData.ai automates the process of extracting financial data from T12 statements. Users can quickly import operational data without the hassle of manual input, leading to more efficient financial analysis and reporting.

Excel Integration

The tool integrates flawlessly with Excel, making it easy for users to incorporate extracted data into their existing financial models. This integration ensures that users can utilize QuickData.ai without needing extensive training or system changes.

Unit-Level Data Extraction

QuickData.ai excels in extracting detailed unit-level data, allowing users to analyze individual units within a multifamily property. This granularity helps in making precise underwriting decisions and enhances the overall evaluation process.

Use Cases of QuickData.ai

Multifamily Real Estate Underwriting

QuickData.ai is essential for underwriting multifamily properties, enabling users to compile and analyze critical data quickly and accurately. This leads to faster deal evaluations and improved decision-making.

AI in Commercial Real Estate

The application of AI technology within QuickData.ai revolutionizes data handling in commercial real estate, providing users with the tools necessary to meet the demands of a fast-paced industry while maintaining high accuracy levels.

Streamlined Acquisition Processes

Acquisition teams benefit from QuickData.ai by significantly reducing the time spent on data entry. With automated processes, teams can focus on strategic analysis rather than manual data management.

Enhanced Financial Reporting

Lenders and accounting firms utilize QuickData.ai to improve financial reporting accuracy. By automating data extraction, professionals can ensure that their reports reflect true and current financial standing, leading to better stakeholder communication.

Frequently Asked Questions

What types of documents can QuickData.ai process?

QuickData.ai can process both PDF and Excel formats, making it versatile for various data sources used in multifamily real estate.

How does QuickData.ai integrate with existing Excel models?

The add-in seamlessly integrates with existing Excel models, allowing users to incorporate extracted data without the need for extensive retraining or adjustments to their workflows.

Is there a trial period for QuickData.ai?

Yes, QuickData.ai offers a 14-day free trial, allowing users to experience the benefits of automated data extraction before committing to a subscription.

Who are the primary users of QuickData.ai?

The primary users include acquisitions teams, commercial real estate brokers, lenders, and accounting firms, all of whom benefit from enhanced productivity and reduced manual data entry.

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