automatizor · the operations brain for a physical business · humans optional

Soon, every front desk on earth runs itself.

Humans do the human parts — the warmth, the welcome, the craft. The machine does the thousand tiny interrupts in between. Signals in. The brain decides the one next thing. It dispatches to a swappable executor — a human today, an agent or robot tomorrow, through the same interface.

1 salon liveLaMTL · Montréal
63%actions, zero human touch
$8,420moved this week
9salons waitlisted

01 the problem

Every local business is bottlenecked by a person doing micro-tasks.

A salon, spa, clinic, barbershop or gym runs on a thousand tiny interrupts — someone at the door, a message asking the price, a shift to confirm, laundry to start, a payout to approve, a walk-in waiting. Today a human front desk is the glue.

The glue is expensive

A full-time front desk is one of the largest fixed costs in a local business — and it's pure overhead, not growth.

The glue turns over

Reception is one of the highest-churn roles in the industry. Every departure resets institutional knowledge to zero.

The glue sleeps

At 2am the door camera, the inbound message, the booking request — nobody's home. Revenue leaks overnight.

The glue doesn't scale

More volume means more humans doing the same reactive work. The cost curve and the chaos curve rise together.

The front desk is the bottleneck of every local business. It's a person stuck in a loop of reactive interrupts.

02 the insight · why now

For the first time, the executor became swappable.

Build the orchestration brain now, with humans — then swap in agents and robots task-by-task, without changing the product. The business just says "boop — go," and the right actor does it.

signals in

Perceive

Cameras, IoT sensors, p69 messages, shifts, bookings, payouts — every interrupt flows into one stream.

the brain

Decide one thing

An LLM ranks every signal and surfaces the single highest-value next action. Plain language. No backlog.

swappable executor

Dispatch

The right actor executes — through the exact same interface.

human · now agent · next robot · next

The interface never changes as you swap humans for machines. That's the whole bet — and the business just says "boop — go."


Three curves crossed in 2026.

CURVE 01 · THE BRAIN

LLMs can finally decide

Models now perceive context and choose the next action in plain language. The orchestration layer is finally possible.

CURVE 02 · PERCEPTION

Sensors got cheap

Cameras and IoT sensors are commodity. Affordable perception means the business can finally see itself in real time.

CURVE 03 · EXECUTION

Robots are arriving

Physical execution is near. The same dispatch that drives a human today drives a machine tomorrow — no rewrite.

03 the product

One screen. One next action. Zero shame-backlog.

A chrome-less surface built for the overwhelmed front desk — executive-function offload, dopamine on done. The same surface a human taps, an agent drives via API.

  • Ranked next action, one at a time. No queue anxiety, no triage tax.
  • Cameras and AI alerts feed the next engine in real time.
  • Agents drive the same surface a human does — identical interface.
  • Money is the last human approval. Everything else can go autonomous.
▸ the one next thing ranked #1 · highest leverage
Walk-in waiting at the lobby
Seat her or message an ETA — 40s in.
one action. tap boop — go and the next surfaces.
autonomy dial — pull humans off the floor, swap in machines live simulation
3humans on floor
0agents running
0%handled by machine
signal feed
machine needs human money · always human

Drag the dial. Cyan items get handled by automatizor; the rest still need a human. Money and payouts never auto-resolve — a human always approves the cash.

04 traction

This is a dashboard, not a deck.

We don't pitch a hypothesis. We own the customer. automatizor is live right now in LaMTL — a real salon in Montréal with real receptionists, shifts and payouts.

● live LaMTL · Montréal — this week
refreshed 2 min ago · automatizor v1
417
signals processed
63%
resolved, no human touch
11.4
staff-hours saved
$8,420
moved through the system
Next in line: 9 salons waitlisted from the p69 network — warm, pre-qualified, near-zero CAC. join the waitlist

05 market

A $2.4B/yr SaaS floor — and that ignores payments.

TAM$2.4B / yr

~1.0M appointment-based front-desk businesses across the NA and EU beachhead, at ~$200/mo. Software only — payments not counted yet.

SAM~150k businesses

Salons, spas, barber, nail and clinics in the beachhead — the verticals we already run and feed customers to.

SOM · 3-yr~5k accounts

Realistic 3-year capture, deployed primarily through the p69 marketplace at near-zero acquisition cost.

Then layer payments. A 0.5% take-rate on the money already flowing through a salon (~$300k/yr avg) adds +$1.5k/yr per account — multiplying per-account value far beyond the subscription.

06 business model

Software gets us in the door. Payments is where the company lives.

The Toast / Shopify move — vertical SaaS plus a take-rate on the money that already moves.

layer 1

Vertical SaaS subscription

~$200/mo per location. Land-and-expand on seats and modules; net revenue retention above 100%.

gross margin85–90%
net revenue retention>100%
acquisitionp69 marketplace
layer 2

Payments take-rate

0.5% on volume that already flows through the salon. Software is the wedge; payments compounds with every transaction.

avg volume / salon~$300k/yr
take-rate0.5%
added value / account+$1.5k/yr
≫ 3:1 LTV : CAC Because p69 supplies the customers, CAC sits near zero — so LTV:CAC lands well above the bar investors want, without burning growth dollars to get there.

07 the moat

Three things a cold-start competitor cannot copy.

MOAT 01

Built-in distribution

p69 is a two-sided marketplace that already feeds salons customers. That's near-zero CAC a cold-start competitor simply can't replicate.

MOAT 02

We own a salon

LaMTL is customer-zero and a live dogfood lab — real receptionists, shifts and payouts. Most founders pitch a hypothesis; we ship into a real business daily.

MOAT 03

Too messy to Sherlock

The grungy physical + payments + local-relationship layer is too small and too messy for Apple or Google to ever Sherlock.

they proved the market — and were never Sherlocked
Fresha$1B+ Boulevard$1B+ Mindbody$1B+ Vagaro$1B+

Four billion-dollar outcomes proved the vertical is real and durable. None got Sherlocked. We enter the same market with distribution and dogfood already built in — and an automation brain none of them have.

Distribution and dogfood live in one person.

The founder is an operator who runs a salon and built a two-sided marketplace. We're not guessing what salons need — we run one, and we already own the channel that reaches the rest.

08 the vision

Every front desk on earth runs on automatizor.

Humans do the human parts. The machine does the rest. We start with one salon in Montréal — and we do not stop.

09 the ask

RAISING · $750K PRE-SEED

Deploy into the first 50 salons. Prove the payments loop.

$750k pre-seed to roll automatizor into 50 salons through the p69 network and close the payments flywheel — distribution we already own, a product already live.

founder is an operator who runs the salon and built the marketplace. distribution and dogfood live in one person.