Meet Drew.
Your team's newest deal analyst.

Drew reads deal documents, flags risks, writes memos, and scores every deal against your thesis. No salary. No Patagonia vest. No two-week notice.

Bank-level encryption · Your CIMs are never shared · Data never used for AI training

No credit card required

getdrew.ai/deals/summit-ridge-mechanical

Summit Ridge Mechanical

HVAC · Denver, CO · Commercial & Residential

PURSUE

Revenue

$8.2M

EBITDA

$1.4M

Margin

17.1%

Multiple

5.2x

Thesis Fit
Deal Score8

Investment Memo

Summit Ridge Mechanical presents a compelling acquisition target in the commercial HVAC space with stable recurring revenue from 340+ service agreements. Customer concentration is manageable at 12% top-client...

You've seen 50 deals. How many do you remember?

You saw a deal two months ago. Good margins, interesting geography, seller was retiring. You offered and got outbid. But now you're looking at something similar, and you can't find the CIM for the prior deal. How much did that business spend on marketing compared to this one? Payroll? What was the EBITDA margin?

Every deal you've ever received -- the financials, growth story, tech stack -- lives in a CIM often in your email, saved on your computer, but never in software built to evaluate deals.

You've got a good memory, but you also have a full plate. Throw your deal documents into Drew, and it's reviewed, graded, and saved. Forever.

How does Drew
analyze a deal?

  1. Upload a deal document

    Drop in a PDF -- a CIM, teaser, offering memo, whatever you've got. Drew accepts anything.

  2. Drew reads the whole thing

    Drew extracts the financials, identifies the business model, scores it against your thesis, and flags what should concern you -- all before you finish your coffee.

  3. You make the call

    Company overview, industry background, historical revenue and EBITDA growth, thesis fit score, strengths and risks, and a recommendation. Everything you need to decide whether to keep reading -- or move on.

A deal database that gets smarter over time

This is the real magic. Every deal you upload becomes part of a structured, queryable database. Ask Drew: "What's the average EBITDA multiple on home health deals I've seen?" or "Show me every deal I passed on where the seller was retiring." Your deal history becomes an asset -- not a graveyard of PDFs in a random folder.

avg EBITDA multiple on HVAC deals?

4.8x avg across 12 HVAC deals evaluated

The instant deal summary

Drop in a PDF. Drew extracts the financials, identifies the business model, grades it against your thesis, and flags what should concern you. Drew writes a complete investment memo -- business overview, financial analysis, risk assessment, and the specific diligence questions you'd want answered.

Summit Ridge MechanicalPURSUE

Revenue

$8.2M

EBITDA

$1.4M

Score

8

Thesis scoringIndustry analysisPipeline managementDeal monitoringIOI & LOI draftingOrigination pipeline

Deal intelligence that compounds.

What makes Drew different from ChatGPT?

Any AI chatbot can summarize a PDF.

Drew is more. Every deal you upload becomes a structured record -- financials, geography, industry, thesis score, red flags, your notes, your rating. Over time, you're not just evaluating individual deals. You're building an intelligence layer across your entire deal flow.

Every deal you've ever seen. Structured, scored, and searchable.

CapabilityChatGPT / ClaudeDrew
Summarize a single deal document
Structured data extraction
Scoring against your investment thesis
Queryable database across all deals
Pipeline management
Deal monitoring & alerts
Remembers every deal you've evaluated
Industry-specific analysis framework
Export-ready memos and reports

Drew is like hiring a sharp analyst who reads every deal document cover to cover, writes the memo, flags the risks, scores the deal against your thesis -- and remembers every deal you've ever looked at. Except Drew works 24/7, doesn't need a salary, and never gives two weeks' notice to go to KKR.

If you've ever opened a CIM, Drew was built for you

Roll-Up Operators

You're buying 6 businesses this year. Drew reads every deal document, scores against your thesis, and tells you which ones are worth your time -- before you schedule the management call.

Every deal you upload makes the next one sharper. By your 20th deal, Drew knows what good looks like in your market.

How does Drew protect confidential deal data?

Encrypted end-to-end

AES-256 at rest, TLS 1.3 in transit. Your deal data is protected from upload to storage.

Never trains AI models

Your CIMs and memos are never used to train any model. Not ours, not anyone else's. Ever.

No human access

Fully automated analysis. No Drew employee reads your deal documents at any point.

What people actually ask

Drew is like hiring a sharp analyst who reads every deal document cover to cover, writes the memo, flags the risks, scores the deal against your thesis -- and remembers every deal you've ever looked at. Except Drew works 24/7, doesn't need a salary, and never gives two weeks' notice to go to KKR. Upload a CIM, teaser, or offering memo, and Drew returns structured data, a full investment memo, and thesis scoring in minutes, not hours.

Put Drew to work.

Free to start. No credit card required. Upload your first deal document in under a minute.

Encrypted end-to-end · No credit card required · Your data never trains AI models