AcquisitionAtlasDEAL ORIGINATION FOR PRIVATE CAPITAL

We build your proprietary deal flow.

Fully managed sourcing infrastructure built around your investment thesis — proprietary data, AI research, scoring and multi-channel outbound that deliver warm acquisition conversations.


You set the thesis. We run the engine. You close the deal.
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THE ENGINE

From full market to warm conversation.

Four functions, run as one system — for funds, family offices, independent sponsors, search funds and corporate acquirers.


  • Identify — The full market, mapped from public and proprietary data.
  • Research — Cited AI memos on any target, on demand.
  • Prioritize — Every company scored against your buy-box.
  • Engage — Outreach to the named decision-maker, gated by your team.
HOW THE PIECES CONNECT

One engine. Built on your cloud.

Proprietary deal origination before the investment — every piece runs inside infrastructure you own.

Recommended

01 · Your cloud

Runs on AWS in your own account. The market database, scrapers and AI layer live inside your infrastructure.

IRS · SEC · PITCHBOOK

02 · Market data

Public registries, filings and records ingested on a schedule, structured into one searchable market.

Best fit

03 · AI research

Claude researches every target, estimates size and scores it against your buy-box — served over an MCP server.

04 · Enrichment

Clay and Apollo return verified emails, phones and profiles for each decision-maker, only when needed.

05 · Sending layer

Instantly campaigns on 3–5 warmed lookalike domains plus aged accounts. Your primary domain is never exposed.

06 · Your CRM

Warm replies land in Salesforce or HubSpot with full research attached. Engagement syncs back automatically.

07 · Available channels

WhatsApp, Telegram, Instagram, LinkedIn, email, SMS & voice — switched on per campaign.

Everything is custom-built on your infrastructure. We work with you to integrate directly into your existing tech stack.

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THE PROCESS

Where the conversations come from.

Nothing is bought off a list. You hand us the investment thesis, and we launch agent swarms against it — parallel AI agents that read public records, company sites, filings and news until the market is mapped, scored and contactable.

YOUR BUY-BOX
Sector & sub-verticalRevenue & EBITDA bandGeographyOwner-operatedPlatform or bolt-on
SWARM 01

Registry crawl

The complete company universe.

SWARM 02

Site reading

What the business actually does.

SWARM 03

Filings & news

Ownership, size and timing signals.

SWARM 04

Contact discovery

A deliverable email and profile.

A scored market, not a lead list

Every company in your thesis, tiered 1–5 against the buy-box with a cited memo attached — before a single message goes out.

Hyper-personalization, plus intel

Every message is written from that company's own intel — what the swarms found, not a merge field. The research travels with the thread.

THE ORIGINATION EDGE

Full AI Visibility

Outreach at this volume normally dies in scattered inboxes. Every channel lands in one place, your AI reads all of it, and the reply is drafted before you open it.

Email · SMS · Voice · LinkedIn · WhatsApp · Telegram · Instagram

UNIFIED COMMUNICATION AT SCALEEMAIL BRIEFS — RECLAIM OUTREACHSUGGESTED RESPONSES + LINKS
DAILY BRIEF · EVERY MORNING
2 to reply · 2 at risk
Suggested reply drafted — ready to copy-paste.

Delivered every morning: who to reply to, what is at risk, and the suggested response — with links straight into the pipeline.

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CASE STUDY — US ACCOUNTING ROLL-UP

The Problem

A family office set out to roll up US accounting firms. Most CPA firms are privately held, revenue is not public, ownership data is messy, and the best targets barely appear in the databases investment teams use.

380,704
accounting firms in the U.S. — the market no database had mapped.

We built the market ourselves.

On the client’s own cloud, with an AI layer doing the research an investment team would otherwise do firm by firm.

380,704
firms mapped from public records
596,000
decision-makers identified
55,186
firms researched & scored by AI
100%
auto-tiered against the buy-box

The Data Foundation

BUILT FROM PUBLIC RECORDS
IRS EFIN registryIRS PTIN registryState & county filings

Re-ingested on a schedule, so the market stays current without anyone maintaining a list.

From registry records to contactable owners

1,180,704Total records ingested from the registries
380,704Accounting & tax firms
596,000Decision-makers identified
419,000Verified firm contacts
55,186Buy-box fit — researched & scored
LOIs signed

What the engine does

  • 1 Identify the full market
  • 2 Research every target
  • 3 Prioritize by buy-box fit
  • 4 Engage the decision-maker

Claude reads every company’s website, estimates revenue and EBITDA, and returns a cited research memo.

Two independent revenue estimates are produced for every firm. The conservative one ships, and their agreement becomes the confidence signal attached to the memo.

SCORES EVERY FIRM 1–5 AGAINST YOUR BUY-BOXSCREENS OUT FIRMS ALREADY ACQUIRED
YOUR CLOUD — EVERYTHING RUNS INSIDE IT

Owned Infrastructure

The engine runs on your own cloud, with Claude for research and reasoning, your CRM as the system of record, and outbound tooling connected directly to it. You own the data, the code and the pipeline.

Market database

The full firm universe and its scrapers, in your AWS account.

Claude

Research, reasoning and buy-box scoring, served over MCP.

Salesforce / HubSpot

Your system of record. Every warm reply lands with research attached.

Enrichment & outbound

Clay, Apollo and Instantly — every seat opened in your name.

AFTER THE CLOSE

After the close, Automation Atlas embeds AI engineering teams inside portfolio companies to grow revenue.

Automation Atlas →
PODCAST · Episode 014:32The whole model, in four and a half minutes.

The Middle Market, hosted by Ray and Dana — both AI. Episode 1: where deal flow really comes from, and what replaces the rolodex. 4:32.

INSIGHTS

Insights

Notes and analysis from the team running the engine.

FAQ

Questions, answered.

Warm, interested conversations with decision-makers who fit your buy-box — delivered to your calendar with financials, research and verified contacts attached. We work with funds, family offices, independent sponsors, search funds and corporate acquirers. You set the thesis. We run the engine. You close the deal.

Nothing is bought off a list. We map the full market from public records — registries, filings, company sites and news — then research and score every company against your buy-box before a single message goes out. Traditional retained buy-side search runs $15k–$50k per month; the engine does that coverage for a fraction of it.

You do. The engine runs on AWS in your own account — the market database, scrapers and AI layer live inside your infrastructure. On a project build, the infrastructure, data and IP are yours outright, and every tool seat is opened in your name.

Claude reads every company’s website, estimates revenue and EBITDA, and returns a cited research memo. Every firm is tiered 1–5 against your buy-box, and firms already acquired are screened out. Two independent revenue estimates are produced for every firm — the conservative one ships, and their agreement becomes the confidence signal on the memo.

Email, SMS, voice, LinkedIn, WhatsApp, Telegram and Instagram — switched on per campaign. Email sends from 3–5 warmed lookalike domains plus aged accounts. Your primary domain is never exposed, and outreach to a named decision-maker is gated by your team.

Every channel lands in one place. Warm replies arrive in Salesforce or HubSpot with the full research attached, your AI reads everything, and a suggested reply is drafted before you open it. A brief lands every morning: who to reply to and what is at risk.

Two ways to engage. Retained search is a managed monthly engagement — we run the engine, you take the conversations. A project build is a one-time scope that puts the same engine on your own infrastructure, with ongoing maintenance and new features. Both carry a success fee on closed transactions. We go through the numbers on the introductory call, scoped to your mandate.

NEXT STEP

Built for your fund, owned by your fund.

Everything runs on infrastructure you own.


Joshua Guttilla, Founder & CEO
Book: acqatlas.com/book · Contact: contact@acqatlas.com
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