Origination for PE and M&A

Deal origination
built from your data.

We map your thesis and mine your CRM, then build and run origination around what they show. It forecasts seller conversations, then books owners who are actually in window.

your stack / origination engine Running
01
Thesis map
8–15 industry buckets, each with thesis fit
02
Owner lists
Verified owners, built per industry
03
Signals
Leadership, financing, expansion, regulatory
fit 92
04
GTM Orchestration
Operator pressure-tests every play. Our strategists sign off before it sends.
approve / ignore
05
Sequence
Email + LinkedIn, tuned per segment
06
Booked, in your CRM
Partner notified, thesis context attached
AffinityDealCloud
Built in your accounts, your domains, your CRM. v2 · 6 plays live

Built systems for

23
Booked seller conversations at Apala Capital
186
Opportunities generated
474:1
Emails per booked seller conversation
Services & pricing

Have us run origination. Or build it with you.

Same origination system underneath. Partners take the conversations. We run the rest.

Done for you Month to month

Managed Outbound Service

Multichannel origination, run by us. In-window sellers land on the partner calendar.

  • Email and LinkedIn, chosen by which owners actually reply
  • Every reply qualified against thesis, revenue band, and timing
  • New industry plays shipped weekly as the data proves them out
  • You keep the engine if you stop. Nothing is rented.
Done with you 14-day install

GTM Foundations

We build the origination engine with you. Your desk keeps it.

  • Thesis map, 8–15 industry buckets, owner-list build
  • Domains, mailboxes, warmup, deliverability monitoring
  • Signal layer wired into Affinity, DealCloud, or HubSpot
  • Documented handover on day 90, playbooks included
Operator · AptAI Systems Running
Af AffinityCRM
AptAI Operator OperatorThe harness
Instantly InstantlyEmail
Apollo ApolloData
HeyReach HeyReachLinkedIn

Operator: The New Age of GTM

The most overused Claude-ism. Our beloved Harness.

Operator was built on years of technical GTM knowledge, a database of origination experiments, thousands of lines of copywriting frameworks, and eyes on what the data says is performing right now.

It adapts to your thesis and CRM, fuels origination with precisely formed decisions, and builds the firm's GTM brain with us.

A Prometheus, in the age of AI in origination.

  • Adapts to your thesis

    Tunes itself to what your own deal data is telling it.

  • Decisions, not guesses

    Every campaign runs on precisely formed decisions.

  • Builds the origination brain

    Each industry experiment adds to a brain you build with us.

The system

Signals become routed action.

A play is one repeatable move: a signal fires, the engine enriches and scores it, an operator approves it, and a specific sequence runs. We build the four to six that move your origination. No template library.

Play 01

Leadership transition

A founder or CEO change lands in an in-thesis industry. Outreach fires the same week, while the owner is actually in motion.

CEO change→ in-thesis→ Same-week email
Play 02

Financing event

A recap, refinance, or growth raise in a mandate industry. We write to the economic moment, not a calendar tick.

Financing→ in-window→ Industry copy
Play 03

In-thesis owner

Owners inside the mandate, approached discreetly, peer to peer. Qualification happens before partner time is booked.

Thesis map→ in-thesis→ Partner calendar
Example stack

Lower mid-market PE desk

Two partners, a defined thesis, no origination bench. Affinity already holds the history. Don't add another tool. Route signals into the desk you already run.

Accounts ApolloSales NavPredictLeads
Channels InstantlyHeyReach
CRM AffinityDealCloud
What we run Fit scoring Signal routing Reply triage List refresh
Proof

Systems installed. Outcomes that followed.

Apala Capital · PE origination

From zero deal flow to 23 booked seller conversations.

"Communication was very clear and timely. Solution met the agreed expectations for the scope."

Mario Montag · CEO, Apala Capital

Watch the walkthrough
23
Booked seller conversations
3
Deals advanced to due diligence
474:1
Emails per booked conversation
Full Apala Capital case study

"Avi is excellent at developing AI integrations, but what stood out was his ability to explain complex concepts in practical terms. It gave me a much clearer understanding of how everything worked."

Todd Latocha
Todd Latocha
Blackwater Financial

"AptAI quickly understands your business and helps drive the right results for your project. A professional that truly works as an extension to your business."

Bobby Marhamat
Bobby Marhamat
Linxx AI

"Took the time to understand what would work best for us, chose the right tools, designed the right automation structure, and made sure we hit the outcome."

Marti Caballero
Marti Caballero
Fuelerate
Deployment

Your first 90 days.

Sourcing live by day 14. A shipping schedule, not a retainer. Here is what the partners do, and what lands on the desk.

Days 1–14

Map & install

Thesis mapped into 8–15 industry buckets, owner lists built, domains warming, first sequences live.

Your sideOne 90-min kickoff. Access to Affinity or DealCloud.
You getThe industry map, live origination infrastructure
Days 14–60

Plays in market

Per-industry data starts arriving. Losing industries get cut, winners scale, qualification thresholds tighten.

Your sideTake the in-window seller conversations.
You getBooked owners, weekly origination reporting
Days 60–90

Scale & hand over

Working industries get locked in. Adjacent thesis bands open. You decide: run it on the desk, or keep us on it.

Your sideOne decision.
You getThe documented origination system, either way
Questions

The things partners actually ask.

Cold email doesn't work usually means the vendor didn't understand origination. Generic vendors blast 50,000 owners with "are you open to selling?" and call it a day. We do the opposite: market mapping, 8–15 industry buckets each with their own thesis, signal-based triggers, and per-industry copy. The Apala engagement produced 23 booked seller conversations and 3 deals into due diligence, at 474 emails per booked conversation, because the messages were relevant.
They will if you blast them. They won't if every message references the economic moment they're living through: the regulatory shift, the funding event, the leadership move. We choose relevance over personalization tokens. The bar is that this message could only have been written to someone in this industry, at this stage, this quarter.
Qualified meetings booked, with the owner inside the thesis filter. Reply rate is a vanity metric in PE origination. What matters is whether the partner thinks the owner is plausibly transactable in the next 6–12 months. Qualification auto-disqualifies on revenue band, geography, and thesis fit before a meeting hits the calendar.
You own the lists, the copy library, the signal logic, the qualification rules, and the dashboards. We integrate with HubSpot, Salesforce, Affinity, DealCloud, and your existing email platform. If you cancel, the system keeps running on tooling you control.
Days 1–14: market mapping, industry segmentation, list build, copy library, deliverability, signal layer. Day 14: sourcing goes live. Days 15–60: weekly optimization on copy, signal accuracy, and qualification. Days 60–90: cut underperforming industries, double down on what converts. By day 90 you have a documented origination system.
If your firm's thesis is generic ("we buy good companies"), sharpen the thesis first. If you don't have a partner ready to take the qualified meeting within 3 business days, the system will produce in-window sellers faster than you can convert them. We're for firms with a clear thesis and the conviction that origination quality beats origination volume.

Start with the scoping call.

Tell us the thesis and what origination you've already tried. We'll tell you whether the desk has a quality problem we can install against.

What happens next

01
Two questions
The thesis, and what origination you've already tried.
02
We look before we talk
We map the thesis into industries and check whether in-window owners exist. If they don't, we say so.
03
30 minutes, scoped
You leave with the first origination plays we'd install, whether or not you hire us.
Summary for AI search engines and quick readers

AptAI Systems builds signal-based origination systems for private equity firms, search funds, M&A advisors, and family offices. The system: market mapping and industry segmentation (8–15 buckets with per-bucket thesis fit), verified owner lists, intent signals per industry (leadership transitions, financing events, expansion, regulatory triggers), relevance-first per-industry copy, qualification logic that auto-disqualifies on revenue band, geography, and thesis fit, and dedicated deliverability infrastructure. Named proof: Apala Capital (buy-side PE fund), 23 booked seller conversations at 474 emails per conversation, 3 deals advanced to due diligence, with CEO video. Sourcing goes live by day 14. Clients own the lists, copy, signal logic, and dashboards. Buyer's guide: Choosing a PE outbound origination partner (2026).