Investors · Service-as-Software

Go-to-market, run on autopilot. At software margins.

Markster operates the entire revenue function for owner-led service firms as a single managed system. Copilots sell tools. We sell the work. This is the category investors call Service-as-Software, built for the verticals that are losing their labor first.

Confidential · for prospective investors
$29,250
Monthly recurring revenue$351K ARR run-rate
100%
Retention, post-ScaleOS cohortLongest client 15+ months
65%
Gross margin todayPath to 85% over 24 months
5
Operated revenue systems liveDone-for-you clients
The thesis
The next wave of software companies will sell outcomes, not seats.

Selling tools caps you at what a buyer will operate. Selling the finished work uncaps the category: you are no longer priced against a SaaS license, you are priced against the team the buyer can no longer hire. Markster runs outbound, content, and CRM as one operated system, so a service firm gets a whole revenue department as a monthly subscription. We capture labor budget at software economics, in a beachhead of 142,000 US service firms (5-19 employees) worth $14.5B.

Why now
The hire is gone. The work didn't go anywhere.

Every target vertical is losing its labor pipeline faster than it can replace it, while owners refuse to add tools they have to operate themselves. The work still has to get done, so someone has to run it for them. The operated-system model is built to fill exactly that gap, and the gap is opening now across the firms we serve.

The structural signals
SMBs actively cutting software vendors82%
SMB owners who say AI won't affect them in 202667%
IT / MSP firms reporting a workforce shortage52%
Accounting professionals who left the workforce300K+
Sources: 82% of companies are actively cutting software vendors (SaaStr / CIO, 2025); 67% of SMB owners believe AI will not affect their business in 2026 (SMB owner surveys); 52% of MSPs report workforce shortages (Konnect, MSP Staffing Crisis 2025); 300K+ accounting professionals have left the field (US Census / industry reporting). The cognitive gap on the second row is the moat: the buyer is shopping for pipeline, not AI.
What Markster is

An operated revenue system, not an agency and not software.

One system replaces the team, the tools, and the management layer a growing firm would otherwise assemble. It runs always on, and the client approves what goes out from inside their own apps, never logging into ours.

The methodology

A trademarked operating method baselines each client across a fixed set of dimensions on day one, then re-scores every month. It is the rigor layer that makes delivery repeatable instead of bespoke.

The operated loop

Research, outbound, content, and CRM run as one always-on loop. The work is produced in the client's voice and queued for approval inside the apps they already use. Nothing ships without sign-off.

The economics

Delivery is increasingly automated under the hood, so a single operating team carries many clients. That is what converts a services workload into software-shaped margins as we scale.

Traction

The numbers behind the system.

Where we are today. The full financial model and cohort detail are shared in the data room.

$351K
Annual recurring revenue
$29,250 MRR
~$1M
Trailing-twelve-month gross
Last 12 months
100%
Retention, post-ScaleOS cohort
Longest client 15+ months
5
Active done-for-you clients
Operated revenue systems
65→85%
Gross margin over 24 months
65% today
Accounting / CPA
70 → 33 hrs
Owner's week cut roughly in half while revenue grew, with the full system operated for him. Live in 73 days. (Public, approved proof.)
“Everything is automatic now. Cut my hours in half, doubled my revenue.”Robert - A1 Accounting (CPA)
Home services / HVAC
50 → 110 appts
Booked appointments per month more than doubled with the same crew, roughly $72K in hiring costs avoided. Live in 66 days. (Public, approved proof.)
“Markster does what 3 salespeople used to do. Same crew, double the work coming in.”David - Comfort Air (HVAC)

Anchor client Kontext Group grew revenue 6.2x in four months on the operated system (investor-only figure). Full case detail in the data room.

Team

Operators building the system they wished they'd had.

Ivan Ivanka
Founder & CEO · San Francisco
Spent 15 years running growth at every organizational scale, from frontline operations at 18 to Chief Growth Officer of a 1,500-person enterprise. Built four agencies along the way. Built ScaleOS and Markster around one thesis: most businesses stall when sales, marketing, and follow-up still run through the owner.
Attila Sukosd
Co-Founder & CTO · Copenhagen
Built Markster's backend, agent orchestration, and CLI - the delivery stack that lets one operating team carry many clients. Owns the infrastructure that turns a services workload into software-shaped margins.
Backed by 500 Global
Investors & advisors
500 Global leads the round. Axel Simon (investor and advisor on neuromarketing and positioning) and both founders are participating. Full cap table and advisory detail in the data room.
The ask

Raising $1M to take delivery off the founders and into the system.

A $1M round on a $6M post-money cap (YC SAFE), with $115,031 already committed - led by 500 Global at $100K, plus both founders and advisor Axel Simon. The full financial model, runway, and projections are in the data room.

The round
$1M on a $6M cap
YC SAFE, $6M post-money cap. $115,031 committed: 500 Global $100K lead, plus founders and Axel Simon.
Use of funds
Pods, inference, GTM
Non-founder operating pods to remove the founders from delivery, dedicated inference capacity, and go-to-market to fill the pipeline.
The model
65% → 85% margin
$7,500 install + $8,500/mo, no contract. Margin compounds from 65% to 85% over 24 months as delivery automates. Full model in the data room.
Request the data room Prefer a conversation? Talk to Ivan.
Request the data room

Get the data room and the deck.

Tell us who you are and what you are evaluating. We confirm fit and send access to the full financial model, runway, projections, cap table, and the deck. The data room is confidential and shared only with prospective investors.

Confidential, for prospective investors. Prefer a conversation? Talk to Ivan.

Software margins, on a services category nobody else can reach.

Request access to the data room and the deck.