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.
Frequently Asked Questions
How does Groundstone AI underwriting work?
Groundstone extracts data precisely from your deal documents (rent rolls, proformas, operating statements), then runs a 5-pillar analysis covering financial, property, market, sponsor, and executive summary. Every number is cited back to its source.
How is this different from ChatGPT or other AI tools?
Generic AI tools generate plausible-sounding numbers from training data. Groundstone extracts actual values from your documents and cites every number to its source page, cell, or paragraph. We never fabricate data.
What document types can Groundstone analyze?
Groundstone processes PDFs, Excel spreadsheets, and Word documents including rent rolls, proformas, operating statements, offering memoranda, appraisals, and environmental reports.
How long does an analysis take?
A full 5-pillar analysis typically completes in 10-15 minutes, compared to 8+ hours of manual analyst work for data collection alone.
See Verified Analysis in Action
Upload a deal. Get citation-backed analysis. Know exactly where every number came from.