Efficient Multifamily Underwriting: Excel Add-In for Automating T12 Data

What

QuickData is an Excel add-in for multifamily real estate underwriting. It automates data entry from rent rolls, trailing 12-month statements (T12s), and offering memorandums (OMs) into Excel so users can work inside their existing underwriting models instead of reformatting source documents manually.

The product is aimed at multifamily investors, syndicators, brokers, lenders, and accounting firms. Based on the page, its positioning is a specialized workflow tool for multifamily underwriting rather than a general-purpose document extraction platform, with an added API option for software developers that need structured T12 and rent roll extraction.

Features

• Excel-based document extraction — Pulls rent roll, T12, and OM data directly into Excel, which helps teams avoid manual copy-and-paste work during underwriting.
• Works with existing underwriting models — The add-in is designed to populate a user’s current Excel model, reducing process change and retraining needs.
• Automatic T12 categorization — Identifies and categorizes T12 line items so revenue and expense data can be structured more quickly for analysis.
• Rent roll automation — Extracts rent roll data into Excel, which can speed up unit-level review and portfolio comparison.
• OM section extraction — Captures selected sections from offering memorandums into Excel for faster review of supporting deal materials.
• API output in structured JSON — Offers an API for developers to extract T12 and rent roll data into JSON, which is useful for embedding underwriting automation into other software products.

Helpful Tips

• Validate fit with your model structure — Even though the add-in is described as working with any Excel underwriting model, teams should test mapping against their actual templates and naming conventions.
• Keep a human review step — The site provides accuracy claims, but users should still verify extracted financial data before investment, lending, or reporting decisions.
• Assess document variability early — Performance in practice often depends on how standardized your rent rolls, T12s, and OMs are across brokers, owners, and markets.
• Plan around platform constraints — The page states Windows PC only, with Mac coming soon, so mixed-device teams should confirm deployment implications.
• Consider the API for scale — Firms building internal tools or client-facing underwriting workflows may get more leverage from the API than from individual desktop usage alone.

OpenClaw Skills

QuickData could fit well into an OpenClaw environment as a document-ingestion and underwriting-prep layer for multifamily teams. Likely OpenClaw skills could include an agent that watches an acquisitions inbox or deal room, identifies new rent rolls, T12s, and OMs, routes them to QuickData for extraction, and then sends the structured output into Excel workflows, pipeline systems, or internal review queues. The page confirms API availability, so API-based orchestration is a supported path; deeper native integrations beyond that are not stated.

A broader OpenClaw workflow could likely combine QuickData with agents for deal screening, variance detection, comp collection, investment memo drafting, and lender package preparation. For acquisitions, brokerage, and lending teams, that could shift analyst time away from repetitive document cleanup toward higher-value judgment work such as scenario testing, diligence review, and committee preparation. If implemented carefully, the combination would likely be most useful in high-volume multifamily pipelines where intake speed and model consistency matter.