Contract terms extracted with source-level verification.
Dealmetri is an AI-powered contract-to-close operating system for U.S. residential real estate. It takes a purchase contract from upload to closing by extracting and verifying contract terms, automatically building the transaction timeline and deadline tree, monitoring actual transaction activity against contractual obligations, identifying missing or conflicting requirements, predicting closing risk, and recommending the next best action.
Built for U.S. residential real estate agents and mortgage brokers: solo agents, teams and brokerages. Title and escrow agents next.
Sample deal · Austin, TX · fictional data
$486,000 · Closing Nov 14
82
health
Closing readiness
71%
Open flags
2
1 conflict · 1 signature
Deadline tree
Contract executed
Oct 02
Option period ends
Oct 12
Appraisal due
+3 daysOct 23
Financing contingency
Oct 30
Title commitment
Nov 06
Closing
Nov 14
Product preview built in HTML and CSS. Sample deal, fictional data.
Built for teams like these. Sample names for layout, not real customers.
Dealmetri reads the paper, keeps the calendar honest and tells you which deal needs attention first, with the clause that says why.
Upload the contract and every date, dollar amount and party is pulled into structured fields, each tied back to its page.
Source-level verification
Every extracted term links back to the contract page it came from.
Extracted fields · sample
Dates hang off the events they depend on, so when an upstream event moves, everything downstream shifts with it.
Mismatched dates, contradicting addenda and unsigned pages are flagged before they become closing-week surprises.
Closing date differs across two documents
Buyer signature missing, p.4
Every deal gets a health score and a closing-readiness score. Every change comes with a cited reason, so nobody has to take a number on faith.
Score history · sample
Appraisal deadline moved 3 days. Addendum 1 §2
Earnest money receipt confirmed. Receipt p.1
Seller initials missing. Addendum 1 p.2
Solo agents, teams, brokerages and the mortgage brokers working their deals. Dealmetri takes the date-hunting and cross-checking off your plate, with no enterprise procurement gate in the way. Title and escrow agents next.
Self-serve
Start on your own
No sales call
Waitlist, then early access
No procurement gate
Solo agents to brokerages
Previews are illustrative product screens with fictional sample data.
Transaction tools, spreadsheets and chat assistants each solve part of the job. Here is what stays open for agents, teams and brokerages.
Dealmetri
Extracted from the upload, cited to the page
Dotloop
Checklist-driven rather than contract-driven
SkySlope
Checklist-driven rather than contract-driven
Brokermint
Manual date entry
Spreadsheets + coordinator
Manual date entry
ChatGPT + manual upload
One-off extraction, re-uploaded each time
Dealmetri
Event-driven tree: downstream dates shift
Dotloop
No deadline dependencies
SkySlope
No deadline dependencies
Brokermint
No deadline dependencies
Spreadsheets + coordinator
Only formulas you build and maintain
ChatGPT + manual upload
No persistent deal calendar
Dealmetri
Flagged across documents, automatically
Dotloop
Signature status; conflicts checked by hand
SkySlope
Review checklists; conflicts checked by hand
Brokermint
Checked by hand
Spreadsheets + coordinator
Checked by eye
ChatGPT + manual upload
Only if you ask, document by document
Dealmetri
Scores with a cited reason for every change
Dotloop
No cited reasoning
SkySlope
No cited reasoning
Brokermint
No cited reasoning
Spreadsheets + coordinator
Judgment lives in one head
ChatGPT + manual upload
Uncited, not tied to a deal record
Dealmetri
Self-serve, no sales call
Dotloop
Workflow and template setup
SkySlope
Broker-level setup
Brokermint
Workflow setup
Spreadsheets + coordinator
You build and maintain it
ChatGPT + manual upload
Prompting and copy-paste per deal
Comparisons are general characterisations of each category of tool, not statements about specific plans, pricing or customers. Features vary by plan and change over time; check each vendor for current details.
A risk score is only worth trusting if it is checked against what happened. This is exactly how we will measure Dealmetri, and we commit to publishing our hit rate.
The question: of the deals Dealmetri flagged as at-risk, how many actually missed a deadline or failed to close?
Precision =
flagged deals that actually missed a deadline or failed to close
all flagged deals
Flag. Each at-risk flag is timestamped when it is raised, with its cited reasons.
Wait. We follow the deal to its outcome: closed on time, missed a deadline or failed to close.
Count. Flagged deals that missed a deadline or failed to close are hits. The rest are false alarms.
Publish. Precision goes public with the method, hits and false alarms alike.
Our commitment: we will publish our hit rate, including the misses, as pilot data comes in.
Illustrative sample — pilot results will be published here
At-risk flag precision · placeholder figures
XX%
of flagged deals were hits. No real figure exists yet.
Deals flagged at-risk
N = —
Hits
— of N
Hatched bars show layout only. They do not represent measured results.
At publication this panel will show
A large, under-served category: residential closings run on checklists and spreadsheets while the paper that drives them goes unread.
TAM
$2.1B
SAM
≈ $420M
SOM
≈ $8.4M
Rings are not to scale.
≈ $180M
TAM
$2.1B
1.4M licensed REALTORS in teams/brokerages plus 60k transaction coordinators
SAM
≈ $420M
~300k U.S. agents in 2-50-agent teams and independent brokerages reachable via the brokerage/team channel
SOM
≈ $8.4M
~6,000 seats (2% of SAM) within 3 years
Free to start, from $129/mo
Monthly plans. Unlimited transactions on paid plans.
Free
$0
Try the contract-to-deadline-tree core
Individual
$129/mo
One agent
Pro
$249/mo
Higher-volume individual or small team
Team
$499/mo
Multi-agent team
Brokerage
$1,299+/mo
Brokerage-wide, enterprise pricing above that
Join the waitlist to hear first when plans open and to get early access for your team.
Placeholders for now. Fictional names, roles and brokerages, to be replaced with real quotes from pilot customers.
Sample testimonial — replace with customer quote about catching a date conflict before closing week.
Sample testimonial — replace with customer quote about how the cited reasons changed team check-ins.
Sample testimonial — replace with customer quote about getting started without a sales call.
Not here? Join the waitlist and ask us directly.
Contract terms extracted with source-level verification. Every extracted field links back to the page and clause it came from, so you can verify it in a few seconds.
Dealmetri is built for U.S. residential transactions. Join the waitlist and tell us your state so we can prioritise your forms.
In non-attorney closing states there is often no lawyer watching the paper trail, so the agent and their team carry it. Dealmetri is built to be that second pair of eyes on dates, conflicts and signatures.
You upload the contract and its addenda as documents. The exact list of supported forms and formats will be confirmed with early access, and waitlist members will hear about it first.
Deal health and closing readiness move when something in the deal changes, such as a date shifting or a signature missing. Each change shows its reason and the clause or page behind it. We will also publish how often our at-risk flags were right (see risk prediction above).
Free is $0 and covers the contract-to-deadline-tree core. Individual is $129/mo for one agent, Pro is $249/mo for a higher-volume individual or small team, Team is $499/mo for a multi-agent team, and Brokerage starts at $1,299/mo, with enterprise pricing above that. Paid plans include unlimited transactions. The waitlist is free and nobody is charged today.
Dealmetri is self-serve for agents and teams: no enterprise procurement gate and no sales call. A full security overview will be published before launch.
Join the waitlist for early access. Self-serve, no sales call. Free to start, paid plans from $129/mo.