AI Underwriting & Deal Analysis · Commercial Real Estate
Broker offering memorandums, T-12s, and rent rolls become validated models in your own Excel. Every assumption is checked against live market comps before it reaches your committee.
Compare Dealpath, ARGUS, CoStar Claude or ChatGPT An internal build
Forward a broker email and AcquiOS returns a validated model in your own template, every assumption sourced, in minutes.
Supercharge your analysts. Review 10x the dealflow without sacrificing quality, because every OM is screened against your buy box before anyone opens Excel.
Forwarded broker emails become scored pipeline entries with a PROCEED, CAUTION, or PASS call before an analyst opens them.
Output lands in the Excel and PowerPoint your committee already reads, formulas intact and every figure editable.
Every red flag surfaced before it costs you, and nothing dropped between the first screen and the close.
Each flag becomes a tracked item with severity, owner, mitigation, and live status, so it is answered rather than noted.
Screening, property, financial, legal, market, and closing, each with a gate review and a DD request list assigned by owner.
Move the slider to your real deal volume. Every figure below is calculated from published AcquiOS screening rates at a $85 / hr fully-loaded analyst cost.
Screening, underwriting, and IC prep versus doing it by hand
At a $85 / hr fully-loaded analyst cost
Screening, underwriting, IC prep, lease reconciliation
Same team, same hours, handle 20x the deal volume
338 manual hrs a month, 17 with AcquiOS
From the moment a deal hits the inbox to the moment you close. Every assumption validated, every output in the file your team already runs.
Forward broker emails or drop OMs, T-12s, rent rolls, and leases. AcquiOS ingests everything with no reformatting from your team.
Email-to-deal creationData is extracted with citation-level sourcing. Assumptions are pressure-tested against market comps, rents verified, conflicts screened, IRR updated live.
5 to 10 second recalculationIC deck and DCF in your PowerPoint and Excel. An AcquiScore PROCEED or CAUTION call against your buy box. Diligence workflow initialised.
Your template, your formulasEach one links through to full detail.
OM to a populated model in your Excel template, every input traced to the page it came from.
Detail → 02Rent growth, cap rates, vacancy, and expenses pressure-tested against market comps before the model runs.
Detail → 03Party registry, shared-ownership cross-checks, and timestamped annual declarations.
Detail → 04An agent checks the subject and up to four comps against listing data and public records.
Detail → 05Forwarded OMs become scored pipeline entries with a PROCEED, CAUTION, or PASS call on your criteria.
Detail → 06Exposure, concentration, and covenant tracking across the book, queryable in plain language.
Detail → 07Six phases with gate reviews, a live risk register, and DD request lists by owner.
Detail → 08IC presentations and DCFs generated in your PowerPoint and Excel, still fully editable.
Detail →A deal arrives, gets underwritten, moves through diligence, and carries its risks all the way to the investment committee. Same file the whole way.
Forwarded broker emails become tracked pipeline entries automatically, each scored against the buy box your committee already signed off on.
The OM, T-12 and rent roll are rebuilt inside the Excel your committee already reads, with every figure traceable back to the page it came from.
Screening, property, financial, legal, market and closing. Every phase carries its own request list and an owner attached to each item.
Conflicts, inflated rents, rent roll mismatches and covenant risk stop being notes in a memo and become items with a severity, an owner and a live status.
Want us to run this on a deal you are working on?
Book a personalized demoCommercial real estate is the primary vertical, where all eight capabilities apply. The same citation-sourced discipline extends to storage platforms, private equity, and corp dev.

Value-add and stabilised acquisitions for funds, family offices, and institutional buyers. All eight capabilities apply.
Multifamily software →
Office, retail, and mixed-use alongside industrial. Lease reconciliation against rent rolls and ARGUS on assets with 100 or more tenants.
Industrial underwriting →
Screen packages against the box, verify street rates against in-place rents at the unit-type level, and land IC output in your model.
Self storage software →
CIM parsing through to Day-1 plans. SPA, TSA, and covenant extraction plus QofE and revenue quality analysis.
Private equity →
Lane KPIs, carrier contracts, and TMS/WMS data turned into a network value map for SIM screening and M&A deal flow.
Logistics & corp dev →Swipe for all five sectors
Your deal documents stay in your environment, every output is traceable to its source, and nothing you upload trains a model for anyone else.
Controls audited by an independent third party. Certified May 2026.
Deploy the whole platform into your own VPC on dedicated infrastructure.
Client-only by default. Your deals never train models for another customer.
Every action attributed and timestamped, exportable for IC or LP review.
Okta, Azure AD, or Google Workspace, with provisioning handled automatically.
This is insane! I am extremely blown away with the quality of the report this created.
Impressive!
What you guys are building is very impressive and clearly full stack.
Founded in Los Angeles. A ReadyAI company. Founders who have sat on both sides of the table.

Former Disney M&A with $10B+ in closed transactions. Head of Investments at Tornante, Michael Eisner's family office. Harvard Economics.

Co-creator of Google AdSense. Former Head of Domain at Google. Co-founder of Scopely, which sold for $4.9 billion.

Former AI/ML engineer at Intuit and Demand Media. Enterprise systems architecture and AI infrastructure.
Join the team building the operating system for modern acquisitions.
We'll get back to you within one business day.