Know if a Deal Fits
Before You Open the Files
You know your credit box: the property types, geographies, loan sizes, and LTV limits you will lend on. Define those criteria once in Groundstone. When a deal comes in, instantly see if it matches before an analyst spends a minute on it.
The Manual Screening Problem
Every deal that hits your desk gets some attention. Even the ones that never had a chance of closing.
Analyst Time Spent on Non-Starters
An analyst opens the package, reads through the summary, pulls some numbers, then realizes it is a property type you do not lend on. Or the LTV is 85% when your max is 75%. Time burned.
Good Deals Delayed by Bad Ones
When your team processes deals first-in-first-out, a perfect deal can sit behind three non-starters. By the time you get to it, the sponsor has already gone with another lender.
No Consistent Criteria Application
One analyst might know you do not do hospitality. Another might not. Criteria lives in peoples heads instead of a system. Deals slip through or get rejected inconsistently.
Define Your Credit Box Once
Set up your lending criteria in Groundstone. When deals come in, AI extracts the key parameters and matches them against your box. You see the result before anyone reviews.
Define Your Criteria
Set your credit box: property types, geographies, loan sizes, LTV/LTC limits, DSCR minimums, sponsor net worth requirements. Set these once and update as your appetite changes.
Upload Incoming Deals
When a new deal comes in, upload the package. Groundstone extracts the property type, location, loan amount, LTV, and other key parameters automatically.
See the Match Score Instantly
Before anyone reviews, you see: "This deal matches 8 of 10 criteria" or "This deal fails on LTV and geography." Decide in seconds whether it is worth pursuing.
Credit Box Criteria
Define the parameters that matter for your lending program. AI extracts these from each deal and scores the match.
Property Type
- Multifamily, office, retail, industrial
- Hospitality, self-storage, mobile home
- Mixed-use, special purpose
- Set include or exclude lists
Geography
- States, MSAs, or counties
- Primary, secondary, tertiary markets
- Urban, suburban, rural
- Flood zone or disaster risk limits
Loan Size
- Minimum loan amount
- Maximum loan amount
- Sweet spot range
- Per-unit or per-SF thresholds
Financial Metrics
- Max LTV or LTC
- Min DSCR
- Debt yield minimum
- Occupancy thresholds
Sponsor Requirements
- Minimum net worth
- Liquidity requirements
- Track record (units owned, years)
- Recourse vs. non-recourse eligibility
Deal Type
- Acquisition, refinance, construction
- Bridge, permanent, mezz
- Stabilized vs. value-add
- Ground-up vs. renovation
What You See
For every deal uploaded, you get an instant credit box match before anyone reviews.
Credit Box Match Report
Instant scoring against your defined criteria
Why This Matters
Pre-screening lets you prioritize the right deals and pass faster on the wrong ones.
Do not waste 30 minutes reviewing a deal that fails on three criteria. Know instantly.
Sort incoming deals by match score. Jump to the ones that fit your box perfectly.
Your criteria applied the same way every time. No deals slipping through or getting rejected wrong.
Stop Reviewing Deals That Never Fit
Define your credit box once. See which deals match before anyone spends time on them. Focus your team on deals that have a real chance of closing.