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VeloQuote

VeloQuote automates the extraction and normalization of raw T12 operating statements from Excel and PDF files, instantly mapping line items to HUD/GSE‑loan categories for multifamily and healthcare assets. Its AI‑powered engine flags discrepancies and validates NOI ratios, enabling analysts to screen loans three times faster while maintaining compliance and data security.

Washington D.C.Founded 2025510+ followers
Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Multifamily and healthcare lenders must manually extract and reformat raw T12 operating statements from inconsistent Excel and PDF files, a time‑consuming process that limits analyst capacity and introduces errors in HUD/GSE‑loan data preparation.

Solution

VeloQuote automates the extraction, cleaning, and normalization of raw T12 statements, instantly mapping each line item to HUD/GSE‑compatible categories. Users upload Excel or PDF files, and the platform’s private AI‑powered engine parses the data, corrects formatting issues, and produces Excel‑native exports ready for loan sizing models. Built‑in ratio analysis and NOI validation flag discrepancies before the data reaches the sizing tool, reducing rework. End‑to‑end encryption secures file transfer and storage, ensuring data privacy. The streamlined workflow cuts screen time by up to 80% and triples analyst output without additional headcount.

Target Audience

Primary customers are underwriting analysts and loan officers at multifamily and healthcare lending institutions who need fast, accurate preparation of HUD/GSE‑compliant financial data.

Features

  • Automated extraction from messy Excel and PDF T12 statements, handling broken formatting and inconsistent layouts
  • AI‑driven normalization that maps every line item to HUD/GSE‑loan‑friendly categories for multifamily and healthcare properties
  • Instant Excel‑native export compatible with existing loan sizing models, eliminating manual remapping
  • Built‑in source‑vs‑mapped NOI comparison and ratio analysis to identify data discrepancies early
  • End‑to‑end file transfer encryption and private AI engine to keep sensitive financial data secure
  • Support for specialized healthcare property types (skilled nursing, assisted living, LEAN 232) in beta
This profile is AI-generated and may contain inaccuracies.