For independent sponsors and repeat SMB acquirers
Turn a signed LOI into an investor-ready memo in days, not weeks of spreadsheets.
Acquiror AI is the deal diligence platform for business acquirers. It runs the whole diligence loop in one place: a Quality of Earnings workbench, a three-method valuation, DSCR-tested financing and the investment memo. One deal record, one audit trail, one number on every screen.
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Three methods, one range
2.17x debt service coverage on the same deal
- 16 modules in one workspace, from CIM to credit memo
- 3 valuation methods, triangulated with an audit trail
- 60 industry segments, each with seeded valuation benchmarks
- $139/mo for Solo on an annual commitment, billed monthly
How the numbers are checked.
- 9,104 automated tests passed on the build of 15 October 2026. 640 of them check the financial calculations against results worked out independently of the code.
- Three fictitious companies, with answer sheets worked out by hand, put through the product from document upload to the decision export. Five verification runs between 28 September and 1 October 2026.
The package your capital is waiting for lives in six files and nobody’s head.
A live deal produces a CIM, three years of statements, a broker’s add-back list, a lender’s term sheet and an investor’s questions. Today the answers sit in a valuation spreadsheet, a separate DSCR model, a QoE workpaper, a data room and a memo written at midnight. Every figure is typed twice. Every change breaks something downstream. By the time the memo is defensible, the exclusivity window is half gone.
Pipeline CRMs track the contact. Per-deal QoE reports cover one slice, once. Neither gives you the loop.
One record, from first upload to final memo.
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Upload the CIM and statements.
Sixteen file types, scanned pages included. Vera detects the document type, extracts revenue, EBITDA and margins with a confidence score per field, and checks each year against the column it came from.
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Normalize the earnings.
Build the Quality of Earnings: periods, add-backs by category, evidence and GL references on every adjustment, reviewer lock when the bridge is defensible. The locked EBITDA becomes the number every other module uses.
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Value it three ways.
Market comparables on the multiple basis you choose, a DCF, adjusted net assets from the normalized balance sheet. Weight them, scenario them, override with a reason, and every change is logged.
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Underwrite the debt.
Senior, mezzanine, seller note, earnout. DSCR computed on cash available for debt service, stress-tested against lower EBITDA and higher rates, solved for maximum debt capacity, exported as a credit memo.
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Test what survives the close.
Customer concentration, contract coverage, gross and net retention, backlog, a durability score. Working capital trends, the peg, closing adjustments.
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Generate the memo.
Up to thirteen sections, three drafted by Vera from the approved figures only, the rest built from the modules themselves, with an evidence appendix. Export to PDF with your firm’s branding.
Depth where the deal is decided.
Real financial engines: QoE, normalized statements, working-capital peg, three-method valuation, multi-instrument DSCR, revenue durability. Pipeline tools stop at the contact record.
One loop, one record.
The locked QoE feeds valuation and financing. The selected financing scenario feeds the memo. The memo cites the evidence. A figure reads the same on every screen and in every export.
AI that shows its work.
Confidence scores on every extracted figure. Numbered citations on every answer. Narratives built only from approved numbers. Refusals surfaced, not hidden. Bring your own model if you prefer.
Priced against the services it replaces.
Published pricing, a 14-day trial, monthly billing. A full year of any plan costs less than one mid-range Quality of Earnings engagement.
Published prices. Join the waitlist for the trial.
Four plans from Solo to Enterprise, monthly or annual, with a 14-day trial on every one when sign-up opens.
A single Quality of Earnings engagement typically costs $25,000 to $75,000
Every Acquiror AI plan includes the QoE workbench.
Sixteen modules in one workspace.
See every module
- Deal pipeline
- Nine stages from Sourced to Closed, days-in-stage and stalled signals, win probability, risk level, tags, Priority Deals, ⌘K quick-switch
- Documents
- Sixteen file types, auto-detected document type, scanned-page text recovery, inline preview
- AI Insights
- Extracted revenue, EBITDA, margins and risk flags, each with a confidence score
- Q&A
- Ask the documents; every answer cites the passage it came from
- Quality of Earnings
- Periods, categorized adjustments, evidence, support status, reviewer lock
- Income Statement
- Normalized P&L: reported, adjustments, adjusted, down to net income
- Balance Sheet
- Normalized balance sheet to adjusted net asset value, with the balance check
- Working Capital
- DSO, DIO, DPO, cash conversion cycle, AR aging, the peg, closing adjustments
- Revenue Durability
- Concentration, contracts, backlog, gross and net retention, durability score
- Valuation
- Vera’s AI estimate on day one; market comparables, DCF, asset approach, triangulation, sensitivity bands, scenarios, overrides, audit log
- Financing
- Multi-instrument structures, CADS-based DSCR, stress tests, debt capacity, credit memo
- Decision
- Append-only Go / No-Go / Conditional / Parked log with confidence and stage milestones, exported to PDF, Excel or JSON
- Investment Memo
- Thirteen sections, AI narrative on approved figures, branded PDF
- Tasks and playbooks
- Deal tasks, My Tasks across deals, industry question playbooks
- Contacts
- Sellers, brokers, advisors, lenders, with interaction timelines and multi-criteria ratings
- Analytics
- Pipeline funnel, estimated value, EBITDA under evaluation, by industry, stage and risk
Meet Vera. She reads the documents, cites her sources and shows her work.
Vera is the platform’s M&A analyst. She classifies what you upload, extracts the financials with a confidence score on each figure, answers questions with numbered citations that open the exact passage, and drafts the narrative sections of the memo from figures your reviewer approved. When she cannot support an answer, she says so.
Prefer your own model? Switch the organization to your own OpenAI or Anthropic key. The model list is fetched live from your account, one model runs every feature, and your key lives in a secure key vault, never in our database.
Built for people who buy businesses more than once.
Independent sponsors.
Package the deal for lenders and equity before the exclusivity clock runs out.
Search funds.
Kill deals fast, keep the reasons, and present the one that survives.
Private equity firms.
Add-on and platform diligence at a published price, without a $50k CRM.
Family offices.
Direct deals with an institutional record and an auditable memo.
Corporate development.
Repeatable screening and a decision log the board can read.
M&A advisors and brokers.
Find what the buyer will find, before the buyer does, with a buyer-ready QoE and valuation for every mandate.
Self-funded searchers.
Screen a pipeline and rebuild the earnings at a solo price.
- Customer data at rest in Canada
- Microsoft Entra External ID authentication
- Card data handled by Stripe, never stored by us
- 99.5% uptime commitment with service credits
- Billed in USD or CAD with GST/HST itemized
Built in Canada. A Canadian software company. Your deal data is stored in Canada.
Objections, answered
“I do this in Excel.”
Excel does not produce an audit-trailed, investor-grade memo and a DSCR stress test on demand, and it does not survive an LP’s second question. Show the memo and the credit memo. Keep your spreadsheets; export ours into them.
“I only close a couple of deals a year.”
You screen ten for every one you close. The value is killing bad deals in a day and packaging the good one before the capital moves. Monthly billing and a 14-day trial mean you can pay only in the months you are live.
“AI makes numbers up.”
Every extracted figure carries a confidence score and is cross-checked against the year column it came from. Every Q&A answer cites the passage. The memo narrative uses only figures a reviewer approved. Refusals are shown, not hidden. And you can run it on your own key and model. AI output can still be wrong, even when it looks precise: a qualified person must verify it before you rely on it, and it is not advice.
Your next deal is already in your inbox. Put it in Acquiror AI today.
Create the deal, upload the CIM, and Vera’s AI valuation gives you a first range with a confidence label before the broker follows up.
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