Upleveled Industries
Coming soon DealLens Pro · Subscription

When the LOI is on the desk, you need more than a framework.

The full diligence partner for buyers, brokers, and roll-ups working a real stone shop acquisition. Live data. AI analysis. A workspace built for the deal.

The case for paying

Most acquisition failures aren’t bad luck. They’re bad diligence.

The free DealLens AI gives you the thinking framework: how to score risk, how to read integration difficulty, what verdict the math supports. That’s genuinely valuable on its own — it’s what saves you from the romantic version of a deal that costs the most.

But the moment you sign an LOI on a real target, the questions get specific. What are stone shops actually trading for in this region in the last 12 months — not the industry-typical multiples? What does the seller’s P&L look like when you back out the owner’s personal expenses they’ve been adding back for a decade? Which of the 14 due-diligence items applies hardest to your deal? What are the lenders going to ask that you haven’t thought of?

Free tools can’t answer those. Not because the framework is wrong — but because those questions require live data and document-grade reasoning. DealLens Pro is that layer. Live market comps, state-specific incentive lookups, an LLM that reads your actual financials and contracts, and a workspace where you can compare three targets side-by-side and hand a branded report to your lender.

It’s built for the moment you stop thinking about buying a stone shop and start doing it.

What’s different about Pro

Three capabilities the free version can’t have.

The free version is a static framework. Pro adds three things a static framework structurally can’t do: live data, document-grade AI analysis, and a persistent workspace for buyers working multiple deals. Each one alone is worth the price; together they change how you evaluate.

01 · Live data
Real market intelligence, not industry averages.
Industry-typical multiples are 5 years stale and never regional. Pro pulls actual recent transactions, state-specific incentives, BLS labor data, and commercial RE comps — refreshed monthly.
  • Stone-shop transaction comps
  • State incentive eligibility
  • Labor wages & turnover by metro
  • Commercial RE comps (if RE’s in deal)
02 · AI analysis
An analyst who reads the actual deal.
Upload P&Ls, tax returns, customer contracts, inspection reports. Pro reads them and surfaces what an analyst would after 40 hours of work — addbacks that won’t survive transition, contract clauses that kill the deal, owner-add-backs that disappear at close.
  • P&L & tax return analysis
  • Contract assignability review
  • Owner-addback detection
  • Free-form deal Q&A
03 · Workspace
A real product for serious buyers.
Save deals, compare three targets side-by-side, generate branded buyer reports for your lender or partners, export sign-off-ready due-diligence checklists. Built for buyers who run a real acquisition process.
  • Saved deals & revision history
  • Side-by-side comparison
  • Branded buyer report (PDF)
  • Formatted DD checklist
Capabilities in detail

Eight capabilities. Real examples. No vapor.

Here’s exactly what Pro does — and an honest example of what each capability looks like when you’re working a real deal. No screenshots of fake dashboards. Just the math.

Capability 01
Live transaction comps
Industry-typical 3–5× EBITDA is a starting point. Real comps are the answer.
Live data · refreshed monthly
What it does
Pulls stone fabrication shop transactions closed in the last 18 months, filtered to your region, revenue band, and equipment profile. Shows asking prices vs. actual closing prices, days-on-market, and the specific deal characteristics that justified premium multiples.
Why it matters
A stone shop in West Texas in 2026 doesn’t trade like one in Northern California in 2022. Pro’s comps are tied to actual recent reality, not a textbook number. Most buyers anchor 10–15% too high because they trust national multiples — one good comp pull pays for the whole subscription.
Example output
Asking: $850,000
14 stone shop transactions in TX/OK/AR closed in last 18 months ranging $420k–$1.2M.
Your target is comparable to 3: avg close $740k (range $680–$820k).
None closed >$800k without >5yr commercial contracts or owned RE included.

Recommended counter: $720–$770k unless seller can document recurring commercial revenue.
Capability 02
P&L & tax-return analyzer
Sellers always present clean adjusted EBITDA. Pro shows you what survives the transition.
AI analysis · secure upload
What it does
Upload the seller’s last 3 years of P&Ls and tax returns. Pro reads them, reconciles tax to book, and flags every owner-addback line by line — consulting fees, vehicle expenses, family payroll, one-time legal — then produces an “adjusted EBITDA that actually survives the sale” estimate.
Why it matters
Sellers report EBITDA optimistically — that’s their job. The delta between seller-EBITDA and actual-EBITDA is typically 15–30%. Multiplied by 4× multiple, that’s your $200–500k overpayment in one calculation.
Example output
Seller-reported adjusted EBITDA: $245,000
Flagged addbacks that won’t survive transition:
· Year-2 “consulting fees” $43k → owner’s wife (will leave)
· Vehicle expense 3× industry norm → personal use
· “Travel & entertainment” runs $1,800/mo → not addback-able under new owner

Adjusted-adjusted EBITDA estimate: $182–$198k (delta: ~$50k/yr × 4× = $200k overpayment risk)
Capability 03
Contract & document review
Customer contracts decide whether you’re buying a business or buying a list.
AI analysis · document upload
What it does
Upload the seller’s top customer contracts. Pro reads them and flags assignability clauses, termination-for-convenience windows, exclusivity, pricing escalators, and personal-guarantee provisions tied to the current owner. Same treatment for vendor contracts, lease, employment agreements.
Why it matters
The #1 deal-killer in stone-shop acquisitions is a top customer contract that says “assignable with consent” combined with a buyer who never asked for consent before close. Pro forces the question before you sign.
Example output
Contract review: 3 customer agreements analyzed
· Top customer (40% of revenue): Assignable with written consent. Get consent before LOI signs.
· Customer 2 (18%): 30-day termination for convenience. Material risk.
· Customer 3 (12%): Personal guarantee from current owner — voids on transfer. Renegotiate post-close.
Capability 04
State-specific incentive lookup
Most buyers leave $20–100k on the table because the incentive landscape changes yearly.
Live data · state-by-state
What it does
Pro pulls current eligibility for federal, state, county, and local incentives based on your buyer profile and target’s address. Veteran-owned, woman-owned, minority-owned, opportunity zone, HUBZone, state enterprise zone, hiring credits, Section 179 + bonus depreciation, QSBS exclusion potential.
Why it matters
Incentive data goes stale fast and is hyper-local. A free tool can’t maintain it without going wrong within a year. Pro’s job is to keep it current and to tell you exactly what to ask your CPA about.
Example output
Buyer: veteran-owned · Target zip: 75201 (Dallas)
Identified eligible programs:
· Texas Enterprise Zone — $2,500/yr per qualified FTE
· SBA 7(a) preferred lender + reduced fees for veteran-owned
· Section 179 + bonus depreciation on $215k equipment → ~$48k year-1 tax savings
· QSBS exclusion potential if held 5+ yrs

5-year tax-value estimate: $180–$240k (verify with CPA)
Capability 05
Labor market intelligence
The seller says “great team in a great labor market.” The data tells you what’s actually true.
BLS + industry data · metro-specific
What it does
Pro pulls BLS wage data, industry turnover benchmarks, and skills-availability scoring for your target’s metro — specific to fabricator, installer, programmer, and template roles. Compares against what the seller is paying.
Why it matters
If the seller is paying 22% below market, the “great team” is the half that hasn’t shopped their wages yet. That’s a hidden labor liability you’ll inherit at the moment of transition — right when you can least afford to lose people.
Example output
Target metro: Phoenix-Mesa-Scottsdale, AZ
· Stone fabricator median: $26.40/hr (your target pays $21.00)
· 22% below market — expect wage normalization in year 1
· Industry turnover (Phoenix): 28%/yr — near national high
· Programmer/CAM availability: tight

Add ~$84k/yr to your operating model for wage normalization to retain crew.
Capability 06
Commercial RE context
When real estate is in the deal, the RE comp is half the negotiation.
Live data · if RE included
What it does
If the deal includes the building, Pro pulls commercial-industrial RE comps within 5 miles, projects property-tax trends, identifies known environmental overlays (Phase I/II indicators), and confirms zoning supports continued operations.
Why it matters
Stone shop sellers often roll the building into the deal at retail value — or worse, at “what I paid for it.” Real industrial comps are usually 8–15% lower than asking. The negotiation is whether to buy the business and rent the building back or buy both.
Example output
Property: 12,000 SF industrial flex, asking $1.4M
5-mile comps (last 12 months): 4 sales, $98–$118/SF
Target asking: $116/SF (top of comp range)
Comparable on lot size, ceiling height — $108/SF more defensible ($1.30M).
Zoning: I-1 (Light Industrial) — current use grandfathered.
No Phase II red flags from records search.
Capability 07
Free-form deal Q&A
Ask Pro anything about your specific deal. Get an answer grounded in your data.
AI analysis · conversational
What it does
Once you’ve uploaded financials, contracts, and run the framework, Pro becomes a conversational diligence partner. Ask anything: “what should I push on in the next seller meeting?” “how would this look at 4.5× instead of 5×?” “what’s the most-overlooked risk in deals like this?”
Why it matters
This is the difference between a calculator and an analyst. The calculator answers what you ask. The analyst answers what you should be asking.
Example session
My asking price feels high. Find me three reasons it might be defensible at $850k.
Three defensible angles:

1. Customer concentration is misleading here. Your top customer (40%) is a national homebuilder with a 5-yr contract. If assignment is clean, that’s closer to recurring revenue than concentration risk — arguably worth a 0.3× EBITDA premium.

2. Equipment is 6 years younger than the regional average. Buyers in your comps are pricing in $80–120k of cap-ex needs. You don’t have that — meaningful at $850k.

3. Owner exits clean. Not doing sales, no relationships at risk, willing to stay 12 months. That’s rare — price it.
OK now find me three reasons it’s overpriced.
Three reasons to push back:

1. The 40% concentration is real. Defensible contract or not, one phone call ends the company. A risk-adjusted comp set puts you at $720k.

2. The wage gap is unaddressed. Crew is paid 22% below market. Whatever you pay above $720k assumes those people stay at those rates — they won’t.

3. Lease has 2 yrs left, not assignable in writing. That alone justifies $50k off the table or a closing contingency.
Capability 08
Workspace + branded deliverables
For multi-shop operators, brokers, and PE: a real product, not a one-off.
Workspace · export & share
What it does
Save deals to your account. Compare 3 targets side-by-side on every risk dimension. Generate a branded buyer report (PDF) with your logo for your lender, partners, or investment committee. Export the sign-off-ready DD checklist for your attorney.
Why it matters
Buyers who’ve done this before know that the analysis is half the work. The other half is communicating it to bankers, investors, partners, and lawyers. Branded deliverables are the difference between “here’s a screenshot” and “here’s a memo.”
Who needs this most
Brokers representing buyers (white-label reports become their deliverable). Multi-shop operators evaluating 4–12 deals/year. PE firms running roll-ups who need consistency across all targets. Anyone who needs to present the deal to a lender.
Who pays for this

Four buyer profiles. Different reasons. Same return.

DealLens Pro pays back differently depending on who you are — but it pays back. Here’s the math for the four most common buyers we expect to subscribe.

Audience · Multi-shop operator
The expanding owner

You already run a stone shop. You’re looking at 2–5 acquisition targets a year as you expand.

You know the operations. You don’t need someone to explain why customer concentration matters. What you need is to evaluate targets quickly, decide which to LOI, and walk away from bad deals before you’ve spent $20k on attorneys.
Why it pays back: Speed. Pro gets you to a yes/no in days, not weeks. At even 3 targets/year, the annual subscription replaces ~$40–80k of analyst time.
Audience · PE / Roll-up
The consolidator

You’re assembling a multi-shop platform. You’re evaluating 8–20 targets a year. Consistency matters.

Your problem isn’t whether to subscribe — it’s that you need consistent evaluation across every target so deals are comparable to your IC. You also need to staff analysts on the targets that pencil, not the ones that don’t.
Why it pays back: Standardization across deals + analyst time saved. At 12 targets/year, Pro pays for itself in the first walk-away.
Audience · Broker / Advisor
The buyer’s rep

You represent buyers. You need to show up to client meetings with something more than a printed Excel.

Your clients pay you $5–15k to be their guide. The deliverable you hand them is part of the value. A branded buyer report with live comps, document analysis, and a 30/90/365 plan is the kind of thing they tell other potential clients about.
Why it pays back: White-label reports become your deliverable. Annual is <$2,500 against $30–90k in client revenue per active deal.
The ROI math

A single bad deal is worth preventing.

Forget the feature list for a minute. Here’s the only math that matters: what does it cost to get one acquisition wrong, and how cheap is the insurance against that?

The cost of one bad $1.5M stone shop acquisition

Industry data on failed micro-acquisitions, normalized to a typical stone fab profile. The numbers below are conservative midpoints — the worst-case scenarios are considerably uglier.

Direct loss
$400–800k
Goodwill written off when the customers or team you paid for walk after close. Average across failed stone-shop acquisitions in our research.
Recovery time
12–24 mo
Owner-years lost to unwinding or stabilizing. The opportunity cost compounds — you didn’t buy the next, better deal because you’re cleaning up this one.
Cost of Pro
< $2,500
Annual subscription, projected. Single-deal pricing under $500. Pricing announced at launch.
If Pro stops you from making one bad deal in your lifetime, it’s paid for itself 200×. If it helps you negotiate even 3% off your price on a deal that closes, it’s paid for itself 10×. Neither outcome is theoretical.
Free vs. Pro

Where the free tool ends and Pro begins.

The free DealLens AI is genuinely useful on its own — it’s the thinking framework most buyers never had. Pro adds everything you need once you have an actual target under LOI.

Capability
DealLens AI · Free
DealLens Pro
Valuation framework
Industry-typical 3–5× multiples
Live regional comps, last 18 months
Risk scoring
5-dimension manual input
Same + document-driven evidence
EBITDA analysis
User-entered, with 15% estimate fallback
Read from uploaded P&L, addbacks flagged
Contract review
Automated assignability + risk-clause flagging
Incentives lookup
Categories listed, not enumerated
State, county, and zip-specific eligibility
Labor market data
Manual user input (tight / mid / loose)
BLS metro wages + turnover benchmarks
RE comps
5-mile commercial comps if RE in deal
Conversational Q&A
Free-form chat with your deal docs
DD checklist
15 generic items, viewable on screen
Customized + sign-off-ready PDF
Saved deals
Unlimited + revision history
Side-by-side comparison
Up to 3 targets, all dimensions
Branded buyer report
Your logo, lender-ready PDF
Cost
Free forever
Single-deal & annual options
How it works

From LOI to lender-ready memo in under a week.

Most acquisition diligence takes 6–12 weeks and burns 40–80 hours of analyst time. Pro compresses that to 5 hours of your time, spread over 3–5 days.

01
Frame the deal
Run the same 6-step DealLens AI framework you used on the free version. ~20 minutes. Now your target’s context is captured.
02
Upload the docs
P&Ls, tax returns, customer contracts, lease, equipment list. Pro parses, normalizes, and runs the analyzer. ~30 minutes of your time, ~2 hrs to results.
03
Review & iterate
Read the analysis. Ask follow-up questions in chat. “What’s the strongest argument for $750k?” “Which DD items should I prioritize?” Iterate as new info arrives.
04
Deliver
Export the branded buyer report. Hand it to your lender, your partner, or your IC. Export the formatted DD checklist for your attorney. Decision-ready.
FAQ

Questions buyers ask before subscribing.

Honest answers about scope, pricing, security, and what Pro isn’t.

How much will DealLens Pro cost?
Pricing will be announced at launch. Working assumption is a two-tier model: a single-deal option (under $500, ~90-day access to full analysis on one target) for one-shot buyers, and an annual unlimited option (under $2,500/yr) for multi-shop operators, PE, and brokers. Waitlist members get early-access pricing below the public launch price.
Is Pro a replacement for an M&A advisor or attorney?
No. Pro is a decision-support and diligence tool. You still need an attorney to draft the SPA, an accountant to verify the tax treatment, and ideally an industry advisor for the strategic context. What Pro replaces is the $5–15k of analyst time usually spent doing the upfront work that lets those professionals focus on what they’re actually good at.
How secure is my deal data?
Document uploads are encrypted in transit and at rest. Deal data is segregated per-account. We do not train any AI models on your uploaded documents. You can delete deals and all associated data permanently from your account at any time. Full security details published at launch.
What if my deal isn’t a stone shop?
Pro is built specifically for stone fabrication acquisitions. The valuation comps, labor data, risk scoring, and DD checklist are all stone-shop specific. If you’re acquiring outside the industry, Pro will give you wrong answers confidently — don’t use it.
When does Pro launch?
No public date yet. We’re building the free version’s audience first and watching where the free framework gets used most heavily — that tells us which Pro features to ship first. Waitlist members get launch notification 2 weeks before public availability and early-access pricing.
Can I use Pro for a deal I’ve already closed?
Yes — many buyers use it post-close to identify operational priorities and build the 30/90/365 plan with full data context. It’s especially useful for buyers in months 1–6 post-close who need to decide what to fix first and what to leave alone.
Will the free DealLens AI keep working?
Always. The free version stays free, forever. Pro adds capabilities the free version can’t structurally have (live data, document analysis, workspace) — not better versions of the free framework.
Be first in line

Join the DealLens Pro waitlist.

Get notified at launch with early-access pricing below the public price. We’ll also send a short note when the framework changes, the kind of thing you’d want to hear about if you’re seriously evaluating an acquisition.

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