Document AI · CRE Lending

AI CoStar Report Extraction & Financial Analysis

Uptiq's Document AI extracts submarket vacancy, net absorption, average asking rent per square foot, and the construction pipeline from a CoStar PDF, landing structured market data in the credit file — you keep your CoStar subscription, Uptiq just structures what it produces.

95%+
Extraction accuracy
41%
Faster underwriting cycle time
100+
Native integrations

Trusted by financial institutions across banking, lending & credit

CRE LendersCommunity BanksCredit UnionsCommercial LendersNon-Bank Lenders

What is a CoStar Report?

A CoStar report is a third-party commercial real estate market data package covering submarket vacancy, net absorption, asking rent trends, the construction pipeline, and comparable sets, used by lenders to sanity-check a borrower's market assumptions.

Uptiq's Document AI extracts submarket vacancy, net absorption, average asking rent per square foot, and the construction pipeline from a CoStar PDF, landing structured market data in the credit file — you keep your CoStar subscription, Uptiq just structures what it produces.

Submarket statistics arrive as chart images and multi-column tables that don't survive copy-paste into a credit memo

Intake / ApplicationUnderwritingClosing / DocumentationServicing / Monitoring
Submarket statistics arrive as chart images and multi-column tables that don't survive copy-paste into a credit memo
Vacancy, absorption, and asking rent are reported for several geographies at once — market, submarket, and property radius
Asking rent figures exclude concessions, so they overstate what a property actually collects
Report vintage matters — a pull from two quarters ago misstates a pipeline that has since delivered
Re-keying comparable sets and pipeline tables into an underwriting model is slow and error-prone

AI agents built for costar report processing

Uptiq's Document AI extracts submarket vacancy, net absorption, average asking rent per square foot, and the construction pipeline from a CoStar PDF, landing structured market data in the credit file — you keep your CoStar subscription, Uptiq just structures what it produces.

1
Classification
CoStar Report documents are classified and matched to the correct extraction schema automatically.
2
95%+ accuracy extraction
Every field is extracted with full data lineage back to the source page.
3
Automatic ratio & metric calculation
Key financial metrics are calculated automatically from the extracted figures.
4
Delivery into your LOS
Structured output flows into your existing LOS — 100+ native integrations, no rip-and-replace.

The result: your team spends time on judgment calls, not re-keying costar report data — measured across production deployments.

36%
Less spreading & extraction time
41%
Faster underwriting cycle time
95%+
Extraction accuracy
5 days
To first production deployment

Fields Uptiq extracts from a CoStar Report

A sample of the structured fields Uptiq's Document AI captures from this document type.

FieldExample
SubmarketDowntown Austin Office
Submarket Vacancy Rate12.4%
Net Absorption (T-12)184,000 SF
Average Asking Rent$38.50/SF/yr
Under Construction620,000 SF
Market Cap Rate6.75%
Report Period2026-Q2
Comparable Properties Listed14
Sample structured output
{
  "submarket": "Downtown Austin Office",
  "submarket_vacancy_rate": "12.4%",
  "net_absorption_t_12": "184,000 SF",
  "average_asking_rent": "$38.50/SF/yr",
  "under_construction": "620,000 SF",
  "market_cap_rate": "6.75%"
}

What changes when this runs automatically

CoStar Report Extraction, Not Just Storage

Uptiq's Document AI extracts submarket vacancy, net absorption, average asking rent per square foot, and the construction pipeline from a CoStar PDF, landing structured market data in the credit file — you keep your CoStar subscription, Uptiq just structures what it produces.

Handles the Real-World Complexity

Submarket statistics arrive as chart images and multi-column tables that don't survive copy-paste into a credit memo

Consistent, Structured Output

Asking rent figures exclude concessions, so they overstate what a property actually collects

95%+ Accuracy, Full Audit Trail

Every extracted field traces back to its source page — examiner-ready documentation, every time.

Integrates with Your LOS

100+ native integrations across loan origination systems, cores, and workflows. No new infrastructure.

Scales Without Adding Headcount

Process more costar report volume with your existing team as application volume grows.

Results from 150+ financial institutions in production

36%
Less spreading & extraction time
41%
Faster underwriting cycle time
95%+
Extraction accuracy
5 days
To first production deployment

Results represent aggregate outcomes across production deployments. Individual results may vary.

From costar report receipt to structured output

CoStar Report arrives at intake

The costar report arrives via email, portal, or upload. AI classifies it automatically.

AI extracts key fields

Fields are extracted at 95%+ accuracy with full data lineage back to the source page.

AI calculates key metrics

Derived metrics and ratios are calculated automatically from extracted figures.

Delivery into your LOS

Structured, extracted data lands in your existing loan origination or servicing system.

What teams ask before they start

CoStar Report AI is Uptiq's Document AI capability for classifying and extracting costar report documents, turning them into structured, underwriting-ready data instead of a PDF to read manually.
Uptiq's Document AI is certified to 95%+ extraction accuracy by a Knowledge Team of former underwriters, bankers, and analysts, with every extracted field tracing back to its source page for audit purposes.
No. CoStar remains the data source and you keep your own license — Uptiq reads the PDF or export you already receive and turns its tables into structured fields. Uptiq has no data-sharing relationship with CoStar and adds no market data of its own.
Yes. Comparable property tables are extracted as structured rows — address, size, year built, asking rent, occupancy — rather than left as an image block. Those rows can then be compared against the subject property in the same underwriting model.
Uptiq extracts the underlying figures where the report prints them as labeled data — vacancy by quarter, absorption by year — and cites the source page for each value. Chart imagery with no printed numbers is flagged for analyst review rather than estimated.
Yes. Uptiq connects to 100+ integrations across loan origination systems, core banking platforms, and underwriting workflows — the agent layer sits above your existing stack with no rip-and-replace required.

Explore related document types

See CoStar Report AI in Action

Book a 30-minute session. We'll run a live extraction demo on your own costar report documents.

CoStar Report AI, done right.

150+ financial institutions run Uptiq's AI agents to process financial documents and accelerate underwriting.