Check the rent roll
before you close.
Abstractly reads the actual leases behind a rent roll and checks them against it unit by unit — tenant, rent, dates, escalations — before your deal closes, not after.
Annual Income
Overstated
- H104 Lease expired, still shown occupied $20,640/yr
- C203 Lease expired, still shown occupied $15,480/yr
- G204 Rent roll overstates lease rent $3,120/yr
- D203 Rent roll overstates lease rent $1,440/yr
+ 2 more discrepancies
Rent Rolls Drift From The Leases That Back Them
Not a hypothetical — here's real output from the reconciliation engine, run against a real test lease and a rent roll built to disagree with it. Same severity, dollar-impact, and source-citation format the product produces on your own documents.
Lease p.3 — “Base Rent shall be Nine Thousand Four Hundred Fifty and 00/100 Dollars ($9,450.00) per month”
Lease p.2 — “the Term shall expire on March 31, 2031”
Lease p.1 — “by and between the Landlord and Ridgeline Coffee Roasters LLC (‘Tenant’)”
Note: this run happened to be on a commercial unit — the reconciliation itself works the same way on a multifamily rent-roll line: same unit-by-unit match against the lease, same dollar-impact and citation format. Book a demo to see it on your own rent roll.
Two Files In. Every Mismatch Out.
Upload your leases and rent roll
A Yardi, AppFolio, RealPage, MRI, or Buildium export, a broker's hand-built Excel, a PDF, even a scanned one. No reformatting, no fixed column layout.
See every mismatch, with dollar impact
Every lease term — tenant, rent, escalation, expiration — is extracted with the exact page and quote it came from, matched unit by unit against the rent roll, and flagged with what the gap actually costs.
Export a report for your lender or LP
Every finding traces back to the lease text, so whoever's underwriting the deal confirms it in seconds instead of re-reading the file — and it's ready to hand off, not just to eyeball.
Built For Hundreds Of Units, Not A Handful Of Tenants
Most lease-review tools were built for commercial CRE — a handful of long, heavily negotiated leases per building. Multifamily is a different problem entirely.
Volume, not negotiation
A mid-size portfolio can mean hundreds of similar residential leases, not a dozen heavily negotiated commercial ones. A tool built to review 15 anchor tenants a year wasn't built for 300 units.
Constant turnover
Unit leases renew and turn over year-round across a portfolio, not on a handful of scheduled dates. The rent roll drifts from the actual leases continuously — which is exactly why it needs checking before every acquisition.
Built for the closing table
This isn't a tool for an owner managing a handful of tenants over years. It's for the diligence window before you sign — checking what the seller's rent roll claims against what the leases actually say, while you can still walk or reprice.
What's Actually True Today
Isolated per team
Each team's documents and results are only visible to that team's members.
Every finding cites its source
Every finding links back to the exact page and quote in the lease it came from — nothing is presented as fact without a way to verify it yourself.
Never used to train AI
Your documents are never used to train AI models.
Priced Per Property, Not Per Document
Three tiers, monthly or annual contracts. Every plan starts with a real walkthrough, not a self-serve checkout.
Questions We'd Ask Too
What happens to our data after we upload it?
Your documents and the data extracted from them are stored under your account and are never shared with, or resold to, a third party. You can delete any document and its extracted data at any time. If you export to Google Sheets, that data leaves our system and lives in your own Google account, under Google's own terms — we don't control it once it's there.
How accurate is the extraction?
We're not going to hand you a made-up accuracy percentage — anyone can print a number, and it means nothing without knowing what it was measured against. What we do instead: every extracted value shows a confidence level and links back to the exact page and quote it came from, so you (or your analyst) can verify any figure in seconds rather than trusting a black box.
What file formats and property management systems do you support?
Today: PDF lease documents, including scanned/image-only PDFs (via OCR), including files that bundle multiple leases into one document, plus hand-built broker Excel/CSV rent rolls and direct import from Yardi, AppFolio, RealPage, MRI, and Buildium exports.
How is this different from an analyst just eyeballing the rent roll for outliers?
Outlier flagging against portfolio averages is table stakes, and we do that too. The actual difference is validating against source documents, not just internal statistics — every value we surface traces back to the original lease itself, and cross-checking a rent roll against both the T12 and the underlying lease documents is the real differentiator, not a nice-to-have layered on top.
Does this replace my analyst?
No. It removes the slowest, most error-prone part of their job — manually retyping and cross-referencing a rent roll line by line — so they spend their time on judgment calls: is this deal worth pursuing, not did I transpose a rent figure correctly.