We came up in sales

Your next deals are already in your CRM, your calls and your documents.

We build and run the AI systems that get them out, and measure the lift on your own numbers.

For private lenders, funds and relationship-driven firms.

Book an intro call → A short call to scope the work · no obligation
August 2025 to August 2026, inside a lender An employed role · the firm stays unnamed
92.63%
of emails
delivered

Before: the firm’s mass email blasts, each 100 emails or more, were delivering under 30%: fewer than 3 in 10. Some salespeople were under 1 in 10. After: even at about 1,400 emails a day (68,851 over 48 send days), our system got 92.63% delivered: more than 9 in 10.

Email delivered, old blasts → our system · axis 0–100% 92.63%

16,744 people new to a 368,683-contact book, found and verified.

Built in-house at a private real-estate lender, in a full-time operating role — not a client engagement. 92.63% measured on 42,438 sends, Apr–Jun 2026. Before and after, not a controlled test.


Offers

Three ways to work with us.

Fixed fee · 10 days

Leak Audit

$3k–6k fixed, 10 days, on your own data; the fee is credited to the build.

Funds start with one LP call turned around in 72 hours, from $1k.

Operators · funds

Revival Desk · Investor Desk

Revival Desk (operators): from $7.5k, then from $1.5k/mo. A daily ranked call list with a reason on each row, opt-out lists that only ever grow, delivery monitoring, a monthly results report.

Investor Desk (funds): DDQ answer library from $5k, LP-call packages, number-checked quarterly updates, a data video from $4k.

Embedded or fixed

Custom automation

An embedded operator-engineer from $8k/mo for 1–2 days a week (3-month minimum), or fixed builds from $15k. You own the code.

Different process? Same method.

Start with a Leak Audit →

One example of the work

A ranked call list, every morning.

Your own book, read in the right order. The name most likely to pick up sits at the top; the cold record sinks to the bottom. The rep opens it and starts at the top.

Most of the job sits upstream of this. Almost every investment property is held inside an LLC, so what lands on a rep’s screen is a company name, not a person — finding the human behind it, and a line that rings, is the work.

Today’s call list illustrative sample
01
Repeat borrower, two deals
Fix & flip · answered Tue
92
priority
02
Opened your last two emails
Bridge · no reply yet
88
priority
03
Permit pulled, no C of O
Ground-up · financing window
74
priority
17
Cold record · no history
Bottom tier · skip for now
31
priority
Illustrative only — the ranking runs on your own book, and the rep still makes the call.

How it works

A walk-through, a diagnosis, a paid build, then we run it.

The same four steps for every engagement. We start with how your desk actually sells today, not with a technology plan — and you see the work prove itself on your own data before any monthly commitment.

01
The walk-through

We watch how your desk sells today.

Where the names come from, what a rep actually sees when one lands, what they do next, and where the day disappears. We have sat in that seat, so this part is fast.

02
The diagnosis

We tell you where the process leaks.

Usually it is supply and follow-through: a rep gets a company name and no person, the good names sit buried under the cold ones, or the sending account is burnt and nothing arrives. No obligation, no slide deck to sit through.

03
A paid build

We build the thing, not a requirements doc.

A short, paid build against your own data — a ranked call list, a clean and reachable book, an outbound sequence that lands — whichever the diagnosis said, running on your own contacts before any monthly commitment.

04
We run it

Then it runs every day, and you own it.

We keep it running and hand over documentation a non-engineer can follow, so the process outlasts the engagement — priced to a known cost per outcome, not to hours billed.


Who it’s for

Same operator, two rooms.

Credit / investment / search firms

Meetings, not activity.

Booking allocators and principals is the job we came up doing — for a $1B AUM growth-equity fund we went from about 5 qualified meetings per conference to 85 at the last one we ran, and carried RFPs and DDQs end to end. For an aviation asset manager we booked 9 institutional meetings in a single month, among them a €42B+ global private-equity firm and a $10B+ direct lender.

Operating businesses ($2M–$250M)

More live conversations, no new headcount.

Find buyers who actually fit, reach them with a reason to reply, and get an answer out of your own data in seconds instead of a week. One service-provider client saw a 223% year-over-year increase in executive meetings.


Proof

The receipts, told straight.

Two exhibits from August 2025 to August 2026, when we ran business development, marketing, sales systems and automation inside a private real-estate lender — an employed role, not a client engagement, and the firm stays unnamed. Efficiency only: we changed the cost and the quality of the supply that feeds revenue. We did not close the loans.

Built in an operating role
92.63%

Before: the firm’s mass email blasts, each 100 emails or more, were delivering under 30%: fewer than 3 in 10. Some salespeople were under 1 in 10. After: even at about 1,400 emails a day, our system got 92.63% delivered: more than 9 in 10.

Exhibit A Account-wide: all email,
not just the blasts
BEFORE 75.54% AFTER 92.63%

Account-wide means all email on the firm’s sending account; the before bar covers 11,000,061 legacy sends. 92.63% measured on 42,438 sends, Apr–Jun 2026. Before and after, not a controlled test — the platform, the list hygiene and the sending pattern all changed together. Blocks 5.95% to 1.19% (5x lower); clicks 5.32% to 7.76%; bounces rose from 0.96% to 2.09%. Volume is lower by design: 68,851 emails to 49,300 unique addresses across 21 reps and 48 send days.

Built in an operating role
16,744

Named people who were not in the firm’s book at all — 16,744 of the 26,341 leads the pipeline found and verified.

“Supply is a process problem, not a budget problem.”

Exhibit B Leads found vs net-new
26,341 FOUND 16,744 NET-NEW

“Net-new” means no phone, email or name match against a frozen 368,683-contact CRM snapshot — a database-state claim, not a conversion claim. The defensible range runs 16,744–21,070 and the conservative end is quoted. Every count is a floor, recomputed only from files we could still access.

The plumbing under both exhibits: 108,934 addresses verified before send; 76,193 known-bad addresses (bounces, failed checks) permanently excluded; an 82,881-entry suppression state kept current, in which an opt-out classifier flagged 26,577 contacts that a keyword rule had wrongly blocked from email (their phone numbers were bad; they had not opted out of email); 253,233 CRM contacts segmented and enriched in 1.32 hours for $20.67 (accuracy not measured); and 64,388 of 97,928 people in the book (65.8%) tagged with a next step. 22 production systems in about ten and a half months, built by one person.


Who’s behind it

One person. Four functions. No engineering team.

The operator's room: a desk by a window at dusk

Capital Catalyst is Bill Baumgarth. LSE MSc, Fordham economics cum laude, then institutional investor relations at a $1B AUM growth-equity fund — from about 5 qualified meetings per conference to 85 at the last one we ran, RFP and DDQ processes carried end to end. We carried the number before we automated it. In late 2022 we started teaching ourselves to build, and the distance between spotting a problem on a sales floor and shipping the fix went from quarters to days — that collapse is what you are buying.

From August 2025 to August 2026 we were on staff at a private real-estate lender as Head Operator — an employed role, not a client engagement — holding four functions on one seat: business development, marketing, sales systems and automation. We led the marketing function and its two staff. Nobody else in the building was technical: no engineering team, no code review, no CI, nobody to hand a ticket to. Twenty-two production systems in about ten and a half months, alongside the full-time commercial role.

One operator ran the outbound for 21 salespeople — 68,851 personalized emails across 48 send days, about 1,400 a day. We pulled a 368,683-contact book out of a CRM with no bulk export, triaged 253,233 of those contacts in 1.32 hours for $20.67 (accuracy not measured), flagged 26,577 contacts that a keyword rule had wrongly blocked from email (their phone numbers were bad; they had not opted out of email), and delivered 26,341 leads we can trace line by line — 16,744 of them new to that book.

Volume was the easy half. The firm’s mass email blasts, each 100 emails or more, had been delivering under 30%: fewer than 3 in 10, and some salespeople under 1 in 10. Our system sent about 1,400 emails a day, and 92.63% were delivered: more than 9 in 10. A wrong-number problem turned out to be two diverged copies of one matcher; we merged them and locked the result behind a 19-check regression harness. And we left behind 856,228 bytes of handover documentation, every operating guide with a code-verified technical twin, so the systems outlive the person who wrote them.

The seat was wider than the pipeline. We rebuilt organic social — roughly three times the engagement per post after a mid-May-2026 approach change — produced the creative and built the campaigns around it, all of it organic at zero media spend. We took over the company website, volunteered to host it, and maintained it. And we found a required state registration the firm had never held and flagged it the same day. Engagement is not leads, no social-to-CRM attribution exists, and we do not claim one.

Every count above is a floor, recomputed only from files we could still access, and we would rather say so than round up: our own later audit turned up a twenty-third production system the census had missed. The range is not the point. The point is that on your desk, the person who finds the problem and the person who builds the fix are the same person — so it gets fixed this month, instead of scoped this quarter and shipped next year.


Nick Belotti, video partner, on set with a camera in hand
Exclusive video partner

Nick Belotti (Flyguynick)

A platinum-certified music video director with 22 director credits on IMDb, including NBA YoungBoy and DaBaby. He now works with us under an exclusive partnership to film corporate events: AGMs, investor days, conferences and launches. He shoots on site; we edit, add the data-exact charts and turn the day into a chaptered library, a highlight reel and short clips.

See Nick Belotti’s IMDb credits (opens in a new tab)

Start here

Show us how your desk sells today.

A walk-through, a diagnosis, a paid build, then we run it. We find where the process is leaking and scope it together.

One simple way to begin
A short call — then a short paid build.
Built against your own data, proving the work before any monthly commitment.

Or send a message directly

Tell us where your desk is leaking.

A few lines is enough to start. This goes straight to our inbox — no scheduling tool, no funnel.