onebee

Commercial real estate

Find the rent roll errors before they become your purchase price.

Deal Desk reads every document in the data room, from leases, amendments and estoppels to the OM, SNDAs and service contracts. It checks what the seller claims against what was signed, and shows your team only what disagrees, with the page and clause cited.

Now enrollingCRE design partners for the fall cohort.See the program

An example

The rent roll says $8,412. The Third Amendment says $8,050.

Suite C-4 looks routine on the seller's rent roll, at $8,412 a month through 2030. The Third Amendment, three documents deep, cut the rent to $8,050. The tenant's estoppel shows the lease ending in 2028, not 2030. See how lease abstraction works →

The claim

What the seller hands you

A rent roll and an OM, prepared to sell the asset. Accurate on most lines. Not built to show you the rest.

  • Base rent, Suite C-4$8,412 /mo
  • Expiration01/31/2030
  • Renewal optionsnone listed

The evidence

What the documents actually say

The executed lease, every amendment in order, the estoppel the tenant signed. Each one read in full, with the latest terms winning.

  • Base rent, per Third Amendment$8,050 /mo · A3 p.2
  • Expiration, per Third Amendment01/31/2028 · A3 p.1
  • Renewal option1 × 5 yrs · p.21 §30

What it costs

ItemSeller's rollThe documentsGap
Monthly rent$8,412$8,050$362
Annual rent$100,944$96,600$4,344
Value at a 6.0% cap rate$1,682,400$1,610,000$72,400
Lease expiry203020282 years less term

That is one suite. Deal Desk checks every one, and shows your team only the ones that disagree.

Example property and figures, for illustration.

See it on your own numbers. We'll run a deal you've already closed and show you what your team caught, what it didn't, and how long it took.

Bring us one closed deal

Inside Deal Desk

Read. Rebuild. Reconcile.

Drop in the data room. Deal Desk reads every page, rebuilds each lease from its amendments and sorts every value into the place your team works from. Only disagreements reach a person.

Opening the data room
Data roomReads every pageWhere it landsXLSRent roll · Q3 2026.xlsxIn the data roomPDFLease · Bldg C Suite 4.pdfIn the data roomPDFThird Amendment.pdfIn the data roomPDFEstoppel · Suite C-4.pdfIn the data roomTIFScan_0042.tifIn the data roomPDFSNDA · Anchor tenant.pdfIn the data roomPDFLease · Bldg D Suite 1.pdfIn the data room+ 129 more documents, scans includedDeal DeskSortingRent roll · Q3 20…FoundPages read0 of 136 documentsWaiting for the first page…Rent roll0lines checkedWaitingLease abstracts0leases abstractedWaitingCritical dates0dates on the calendarWaitingSeller requests0draftedWaitingNeeds you0flags to reviewWaiting
Documents read
0
Fields, every one cited
0
Seller requests drafted
0
Need you
0

Hover a bucket to trace it back to its documents. Click a document to see what Deal Desk pulled out of it.

Ridgeline Commerce Park

Rent roll as of 09/30/2026 · Ridgeline – Rent Roll Q3.xlsx · 2 weeks old

Review 5 leases
70.8% verified
17 verified · 5 for you to review
DatesData roomRent varianceDocuments
Rent per leased SF$11.48212,640 leased SF
WALT3.6 yrsweighted by rent
Next 12 months9.4%of rent expires
Largest tenantKeystone Market14.1% of rent
Expense recovery81.2%triple net · 6% not stated
Documents136across 24 leases
Rent expiring each year
20262027202820292030203120322033+
Holds a renewal optionNo option found- - - Cumulative
Who can end a lease early
1 lease can terminate early · 3.1% of rent

B-7: tenant may terminate after month 36 on 180 days' notice, with a fee of 4 months' rent. p.14 §22

What the buyer takes on
Tenant improvements$182k owed on 3 leases
Leasing commissionsnothing stated as owed
Free rent granted9 months across 4 leases
Suites
+ 16 more leases
A · 1

Keystone Market

Verified

Matches the lease on SF, term and rent at your roll date.

Your roll vs the documents
SF26,400 SF✓Lease, April 20, 2018
Commencement06/01/2018✓Lease, April 20, 2018
Expiration05/31/2033✓Lease, April 20, 2018
Rent at roll date$28,680.00✓Lease, April 20, 2018
Security deposit$57,360.00✓Lease, April 20, 2018

Example property: the view your analysts open when the run finishes. It plays on its own; click anything to explore it yourself.

Provenance

Click any number. Land on the line.

Every value Deal Desk produces carries the document, page and clause it came from. The answer to every IC question about where a number came from.

  • No cite, no value. If it can't be found on a page, it's flagged as missing, never guessed.
Suite C-4 · abstract
Third Amendment.pdf

Third Amendment · Page 2

Commencing February 1, 2026, Monthly Base Rent shall be reduced to Eight Thousand Fifty Dollars ($8,050.00).

Highlighted · A3 · p.2 §3 · opened from the abstract

Across the data room

One question, checked against everything the seller signed, including what the summary missed.

Ask in plain words. Deal Desk follows the question through the lease, every amendment and the estoppel, and cites each step.

Your analyst asks

“Is anything in the data room inconsistent with the roll for Suite C-4?”

  1. Group the lease
    4 documents belong to Suite C-4Original lease, First, Second and Third Amendments. Ordered by date so the latest terms win.Data room · 4 files
  2. Find the controlling terms
    Third Amendment cuts rent and shortens the termBase rent drops to $8,050/mo from 02/01/2026. The term now ends 01/31/2028.Third Amendment · p.1 §1, p.2 §3
  3. Check the other side
    Tenant's estoppel agrees with the amendmentSigned 08/14/2026. Confirms $8,050/mo, a 01/31/2028 expiry and no defaults.Estoppel · p.1 ¶2
  4. Compare to the roll
    The rent roll doesn't reflect the Third Amendment
    Seller's roll$8,412 · exp. 2030
    The documents$8,050 · exp. 2028

Yes. The roll overstates C-4 rent by $362/mo and runs the lease to 2030; the Third Amendment and the tenant's estoppel both say $8,050 through 01/31/2028.

DraftPlease provide a corrected rent roll for Suite C-4 reflecting the Third Amendment (rent $8,050/mo, term through 01/31/2028).
Cited · Third Amendment p.1–2 · Estoppel p.1 · Rent roll row 14

Why teams use it

Lease forty gets the same attention as lease one.

By the fortieth lease that looks like the last thirty-nine, even careful reviewers start recognizing instead of reading. That is when a changed rent step, a shortened term or a buried option slips through. It is not a skill problem. Deal Desk reads every page as if it were the first, and your team sees only the conflicts, so judgment goes where it counts.

  • Fewer surprises at IC. Rent, term and option conflicts surface in the first week of diligence, while there is still time to reprice or walk.
  • A defensible number. Every figure in the underwriting traces to the page and clause it came from, so the answer to “where did this come from?” is one click.
  • More deals, same team. Reading and re-keying move off the analysts' desks, so the team can work more opportunities without adding headcount.
  • Seller questions in week one. Deal Desk drafts the questions as it finds the conflicts, instead of after the abstracts are done.

Analyst time per deal, by task

The usual way40 h
With Deal Desk14 h
Reading & abstractingTying out the rollSeller requestsJudgment & IC memo, unchanged
0analyst hours back on a 24-lease deal.
0%of leases read in full, not a sample of the big tenants.

onebee's team spent years on the same attention problem in cybersecurity, where the fix for analysts drowning in routine alerts was machines that read everything and send people only the exceptions.

Built for your firm

Set up for how your team runs diligence.

Before your first deal, a forward-deployed engineer configures Deal Desk to your process. Then it hands the clean result to the tools you already run.

01

Your abstract

The fields your team abstracts, named and ordered the way your analysts already read them.

02

Your checks

The rules your team ties out on every deal, and what counts as a flag for your firm.

03

Your deliverables

Seller requests, the deal workbook and IC exhibits in the templates you already send.

  • Seller's data room
  • Deal Desk
  • Deal management
  • Valuation
  • System of record
  • Counsel
  • Excel

Design partners · Fall 2026

Bring AI into your diligence, on your deals, with your judgment in charge.

A small group of acquisitions and asset management teams, working on real deals. You get an engineer and a working product. We get your judgment on every miss.

  1. 01
    Weeks 0–2

    Bring one deal

    Send a recently closed deal's rent roll and leases. We reconcile it, and you grade our work against what your team actually found.

  2. 02
    Weeks 3–8

    Run it live

    On your next acquisitions, alongside your analysts. Every flag goes to your people, and nothing publishes without their sign-off.

  3. 03
    Weeks 9–12

    Fit it to your stack

    Connect the clean result to what you run: deal management, valuation, your system of record or plain Excel.

  4. 04
    After

    Decide on your numbers

    We report hours saved and issues caught against your baseline. Continue, change scope, or walk away.

What you get

  • A named forward-deployed engineer who learns your deal process.
  • Deal Desk on your live deals, configured to your abstract schema.
  • A seat on the roadmap: what we build next comes from your misses.
  • Design-partner pricing, held after the program ends.

What we ask

  • One live deal a month through the program.
  • A 30-minute weekly review with one of your analysts.
  • Blunt feedback whenever we get something wrong.
Apply as a design partner

Questions

What CRE teams ask us.

It reads a deal's leases, amendments and estoppels, checks the seller's rent roll against them line by line, and cites the page behind every value. Lines that don't match, or have no document behind them, become a list of questions for the seller. Your team reviews every flagged value before it is used.

Bring us one deal.

We'll run a deal you've already closed and show you what we find: what your team caught, what it didn't, and how long it took.

Bring us one closed deal

Every value cited to its page. Your documents never train a model. How we handle your data →