// Features

One thread, from thesis to outcome.

Other tools organize around the data room. MergerGod organizes around your thesis, and never loses it.

// The thread

Every finding, term, and task stays tied to why you’re buying, all the way through.

Read everything

Reads the whole room, not just the easy files.

Upload from any VDR. MergerGod reads every file and writes its own diligence requests as it finds the gaps.

  • Every function: financial, commercial, legal, technical, people
  • Auto-generated follow-ups for missing items
Diligence · reading the room
1,206 of 1,284 read78 processing
ARR_by_Customer_FY23.xlsxFinancial
MSA_top20_customers.pdfLegal
eng_org_chart_2024.pngPeople
Auto-generated requests
+Customer-level churn for the top 10 accounts, last 8 quarters
+Founder employment & non-compete terms
Thread to thesis

Every finding tied back to why you’re buying.

You bring the thesis. MergerGod builds the pillars it has to prove, then organizes the whole read around them.

  • Pillars built from your thesis, not entered by hand
  • Built on the Buyer-Led M&A framework
Thesis · pillars
Durable Retention
Recurring revenue is sticky after close
1 risk
Founder & Culture
Business runs without its founders
challenged
Market Consolidation
Clean cap table, no blocking CoC
holding
Verify

Cross-referenced across models, so you see what it missed.

Every finding is read by more than one model. Where they diverge, MergerGod routes it to you. The disagreement is the signal.

  • Divergences flagged for a human decision
  • Verified-clean areas shown too, because that’s a finding
Model AModel Bdiverged
Deferred revenue: one reads it clean, one flags $1.2M as a possible pull-forward
91% agreement45 clean
3 divergences routed to you
Carry it to close

Findings, integration, and the agreement on one thread.

Each risk is traced to the integration action it needs and the protection it requires in the agreement, drafted as you go.

  • Integration plan builds while diligence runs
  • Each risk mapped to a term, or flagged if it can’t be protected
Diligence · integration plan
Built while diligence runs. Each finding feeds the stack-rank and the plan.
Risk stack-ranklive
Customer concentration: top 3 = 64% ARR
Founder in 11 of 14 key contracts
Hosting cost outgrowing revenue
Plan, buildingfrom diligence
90-day key-account retention plan
OWNER ASSIGNED
Founder transition & knowledge transfer
PRE-CLOSE
Decide & defend

Living readouts, every line sourced.

Spin up an IC brief or status view that refreshes as the deal moves, every line traced to its source.

  • IC brief, diligence status, or a tailored variant
  • Auto-refreshes as new documents land
IC Briefcurrent
Verdict, material findings, all sourced · updated 2m ago
Diligence Status3 open
47 of 62 requests resolved
After close

A private record of how your calls aged.

After close, MergerGod grades how each call aged and keeps the record, the misses included, traced to the finding behind it. A private history of your own deals.

  • Honest track record, including the misses
  • Recalibrating future reads from outcomes is on the way
Concentration earnoutheld
Accounts retained · protection worked
Tech-debt estimateran heavy
Graded against the original call
// Two gears

Ask it, or let it drive.

Gear one · Ask

Ask the room anything.

Question the whole room in plain language. Every answer cited to the source it came from.

Gear two · Drive

Or let it run the diligence.

Point it at the room and it works your thesis pillar by pillar. Autonomous where it can be, human where it must be.

// Trust

You can check everything it does.

Cited to the source

Every claim points to the document and the passage it came from. Click it and see it.

Verified across models

Re-derived by a second model, with the disagreements shown, not smoothed over.

You make the call

It does the reading and the threading. The judgment is yours. It never closes a deal.

Live today
  • Reads the whole room, any VDR upload
  • Findings threaded to your thesis
  • Cross-reference verification across models
  • Source citations on every claim
  • Risk stack-rank, scored by severity
  • Findings carried to the agreement and integration plan
  • Living readouts, including the IC brief
  • Post-close thesis grading
On the way
  • Every finding carries a dollar impact, into a price and structure view
  • Export to your model, or reconcile it against the room
  • Outcomes recalibrate future risk reads
  • First-look screening before the LOI
  • Strategic-fit scoring
  • Choose the models it runs and verifies against
  • Native data-room integrations, DealRoom first
  • Portfolio view across deals
// The foundation

Built on Buyer-Led M&A.

MergerGod runs the methodology distilled from hundreds of practitioner interviews at M&A Science. Thesis first, room second, never the other way around.

400+
Practitioner interviews, one methodology

See it on your own deal.

Start free, or book a walkthrough with the team.

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