For CRE investors, brokers, lenders and owner-operators
Turn your CRE deal flowinto a ranked pipeline.
Drop in every OM you receive. ScoreOM extracts the numbers, normalizes the deal, gives you a first-pass score, and keeps everything organized in one place.
Real screens and recordings from the app. Every deal gets the same breakdown, so the tenth OM is as easy to read as the first.
Deal Score
See under the hood in a minute
Drop in the OM and get the numbers you check first, a plain-English brief and a 100-point score built on your criteria.
Going-in cap, DSCR, price vs. replacement, base IRR
Strengths and concerns pulled from the OM
Add the rent roll or T-12 later to sharpen the analysis
Deal Score
First pass on West Bend Plaza, scored on your criteria
PropertyRetail strip
LocationWest Bend, WI
Asking$2.53M
GLA42,331 SF
73/100
Strong fit 73 of 100
Fully leased8.75% going-in cap
Fully leased strip center priced well below replacement cost, with solid cash flow and tenant concentration to watch.
Going-in cap8.75%
DSCR1.66x
Price / replacement27%
Base IRR14.8%
✓Key strength
Fully leased
100% occupancy across 12 units.
From the OM
↗Opportunity
Below-market rents
Average rent per SF sits under market. Room to push on renewal.
Upside
!Concern
Tenant concentration
Hobby Knights holds 21% of GLA. A few tenants carry the rent.
Verify leases
Financials + Rent Roll
Find the real NOI
The operating statement is rebuilt with vacancy and reserves applied, next to a tenant-level rent roll with every expiration.
OM-stated vs. adjusted NOI, side by side
Near-term rollover and concentration flagged
Rebuilt NOI
Year 1 operating statement, built from the OM line items
OM-stated NOI$221,308
Adjusted NOI$204,562-8%
Potential gross income$342,704
Vacancy & credit loss (5%)($17,135)
Operating expenses($110,424)
Reserves / CapEx (estimated)($10,583)
NOI used in pro forma$204,562
↗NOI gap
-8% vs. the OM
Rebuilt with vacancy, expenses and reserves applied.
Adjusted
iTransparent
Estimates labeled
Reserves at $0.25/SF are flagged and editable.
!Rollover
2 leases near expiration
Plaza Barber Shop and KK Sew & Vac.
Near-term
Offer Scenarios
Know your number before you call the broker
Returns at the ask and from 15% under to 5% over, plus bull, base and bear cases with the assumptions spelled out.
Green clears your target IRR
Same assumptions on every deal, so they compare cleanly
Offer Scenarios
Levered IRR at each purchase price vs. your 15% target
15% target
20.0%
18.2%
16.5%
14.8%
13.3%
-15%$2.15M
-10%$2.28M
-5%$2.40M
Ask$2.53M
+5%$2.66M
Bull18.5%levered IRR
Base14.8%levered IRR
Bear9.3%levered IRR
✓Your number
About 5% under ask
$2.40M returns 16.5%, clearing the 15% target.
Clears target
↗At ask
14.8% levered IRR
Just under target at $2.53M.
!Bear case
9.3% if the market turns
Flat rents and a 75bps wider exit cap.
DealBoards
Line up every deal you are looking at
Every OM you receive lands on a DealBoard, broken down the same way and ranked by score, price, cap rate, NOI and occupancy.
One normalized view of your whole pipeline
Boards by market, asset class, client or strategy
Deal Scorecard
Retail DealBoard · ranked by score
1Greenfield Shopping Center$14.2M7.80%78
2West Bend Plaza$2.53M8.75%73
3Hales Corners Plaza$9.4M8.34%72
4Harwood Retail Center$7.0M8.39%69
5Fredericksburg Center$11.8M7.20%62
↗Normalized
17 OMs, one view
Every deal broken down the same way.
Same criteria
↗Sort any way
Score, price, cap, NOI
Ranked side by side, export to CSV.
Share + export
Share a DealBoard with one link
Send partners, lenders or clients a live board of deals on a map. They click the link and see the numbers. No login needed.
Map view of every deal on the board
Email any deal with an Excel workbook and Word brief attached
Share DealBoard
Lender Package · 17 properties
/share/6Heppfrx-dk4Copied
Anyone with the link can view
17deals on a map
50views
0logins needed
↗No login needed
Opens in any browser
Partners, lenders and clients just click the link.
Read-only
✓Live map
Every deal pinned
Click a pin for photos, score and key metrics.
Why not just use ChatGPT or Claude?
A chat gives you an answer. ScoreOM gives you a deal desk.
You can set up ChatGPT or Claude with your criteria and get a decent read on an OM. What you don't get is the system around it: every deal scored the same way, kept in one place, updated when you correct a number, and ready to rank, email or share whenever you need it.
73Strong fit
66Worth review
58Worth review
81Strong fit
45Below criteria
Every OMA different broker, format and story
One lensSame criteria, models and layout on every deal
ScoreOMGeneral AI chat
ConsistencySame criteria and CRE models on every OM, built inOnly as consistent as your prompt and setup
Your dealsEvery OM you've scored in one place, ranked and on a mapScattered across chat threads
CorrectionsFix a rent or expense once and the deal re-scoresFix it in one chat, gone in the next
New documentsAdd the rent roll or T-12 later and re-analyze the same dealRe-upload and re-explain every time
Ready to sendFormatted email with Excel workbook and Word brief, or a share linkCopy and paste a chat reply
PartnersPartners and lenders open a link, no AI account neededThey see whatever you paste them
LocationDemographics around the property on the mapWhatever the model knows or guesses
SpeedDrop the PDF, about a minutePrompt, paste, follow up, reformat
ScoreOM is a fast, consistent first pass for screening. It is a starting point for your underwriting, not a replacement for it.
Asset-specific models
Each OM is scored with a model built for its asset class.
