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Uptiq's Document AI extracts sale price, price per square foot, sale date, cap rate at sale, and buyer and seller names from each closed comparable, along with the adjustments applied for condition, location, and size, structured into the valuation section of the credit file.
Trusted by financial institutions across banking, lending & credit
What Is This
A sales comparables schedule lists recently sold properties with sale price, price per square foot, sale date, and cap rate at sale, supporting the sales-comparison approach to value on a CRE loan.
Uptiq's Document AI extracts sale price, price per square foot, sale date, cap rate at sale, and buyer and seller names from each closed comparable, along with the adjustments applied for condition, location, and size, structured into the valuation section of the credit file.
Thin transaction volume in a submarket forces reliance on sales that closed 18 to 24 months ago in a different rate environment
The Solution
Uptiq's Document AI extracts sale price, price per square foot, sale date, cap rate at sale, and buyer and seller names from each closed comparable, along with the adjustments applied for condition, location, and size, structured into the valuation section of the credit file.
The result: your team spends time on judgment calls, not re-keying sales comps data — measured across production deployments.
What Uptiq Extracts
A sample of the structured fields Uptiq's Document AI captures from this document type.
| Field | Example |
|---|---|
| Sale Price | $14,600,000 |
| Price Per Square Foot | $212/SF |
| Sale Date | 2025-11-06 |
| Cap Rate at Sale | 5.85% |
| Buyer | Harbor Point Holdings LLC |
| Seller | Meridian Capital Partners |
| Net Adjustment Applied | -7.5% |
| Adjusted Value Per SF | $196/SF |
{
"sale_price": "$14,600,000",
"price_per_square_foot": "$212/SF",
"sale_date": "2025-11-06",
"cap_rate_at_sale": "5.85%",
"buyer": "Harbor Point Holdings LLC",
"seller": "Meridian Capital Partners"
}Key Benefits
Uptiq's Document AI extracts sale price, price per square foot, sale date, cap rate at sale, and buyer and seller names from each closed comparable, along with the adjustments applied for condition, location, and size, structured into the valuation section of the credit file.
Thin transaction volume in a submarket forces reliance on sales that closed 18 to 24 months ago in a different rate environment
Adjustment grids for condition, location, and size are presented as percentage add-ons with no stated derivation
Every extracted field traces back to its source page — examiner-ready documentation, every time.
100+ native integrations across loan origination systems, cores, and workflows. No new infrastructure.
Process more sales comps volume with your existing team as application volume grows.
Proven at Scale
Results represent aggregate outcomes across production deployments. Individual results may vary.
How It Works
The sales comps arrives via email, portal, or upload. AI classifies it automatically.
Fields are extracted at 95%+ accuracy with full data lineage back to the source page.
Derived metrics and ratios are calculated automatically from extracted figures.
Structured, extracted data lands in your existing loan origination or servicing system.
Common Questions
Related Document Types
Book a 30-minute session. We'll run a live extraction demo on your own sales comps documents.
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