AI Underwriting That
Shows Its Work.
Turn messy deal documents into structured, citation-backed analysis. Every number traceable to its source. Every claim verified. Every gap flagged.
The Underwriting Problem
Traditional underwriting is slow, error-prone, and produces analysis you can't trust.
8+ Hours Per Deal
Research shows analysts spend up to 8 hours per deal on data collection alone, before real analysis even begins.
94% Have Errors
Academic studies show 94% of business spreadsheets contain at least one error. In CRE, those errors have cost billions.
Black Box AI
Generic AI tools generate plausible-sounding numbers. But can you verify where they came from?
How Groundstone Works
A 5-pillar analysis system that delivers bank-grade credit memos with full citation trails.
Financial Analysis
NOI, DSCR, cap rates, cash flow projections with source citations
Property Analysis
Physical condition, tenant mix, lease terms, environmental review
Market Analysis
Submarket trends, rent comps, supply pipeline, demand drivers
Sponsor Analysis
Track record, experience, financial capacity, team assessment
Executive Summary
Deal brief, key risks, recommendation, gap analysis
The Groundstone Difference
We don't generate numbers. We extract them precisely and cite our sources.
What We Do
- Extract data precisely from source documents (like Excel reads cells)
- Cite every number to its source page, cell, or paragraph
- Cross-validate metrics across multiple documents
- Flag inconsistencies and missing information
What We Don't Do
- ✕Generate plausible-sounding numbers from training data
- ✕Make up metrics when documents are missing
- ✕Hide the source of our analysis
- ✕Pretend gaps don't exist
Complete Deal Intelligence
CRE Underwriting is just the beginning. See how Groundstone supports your entire deal lifecycle.
See Verified Analysis in Action
Upload a deal. Get citation-backed analysis. Know exactly where every number came from.
Start Free Analysis