AI-native software for the businesses that move the country.
BetterOz builds vertical AI products for industries that have been underserved by generic software. cutQ — a full management platform for personal-care businesses — is our first. More verticals next.
Our first product
cutQ: run your shop, not your queue
Appointments, walk-in queue, point-of-sale, and staff management — purpose-built for barbershops, hair salons, beauty clinics, nail bars, and day spas. In development now.
Queue + bookings, one live view
Multi-location management
Built for Australian shops
Services, products, staff
Where AI changes the game
Smarter shops, by design
The features below are how cutQ is being designed today. Each becomes more useful as the platform learns from real shop data — the kind of compounding advantage that only comes from going deep in one vertical.
Smart scheduling
Suggests booking slots that maximize chair utilization, factoring service duration, staff skill, and historical demand.
No-show prediction
Flags bookings likely to cancel late. Triggers smarter reminders or deposit prompts before revenue walks out the door.
Demand forecasting
Reads patterns across days, services, and weather to recommend staff levels a week ahead. Less guesswork, fewer empty chairs.
Customer insights
Detects churn signals from visit frequency and service mix. Suggests when to re-engage, with what offer, for which customer.
The AI stack we're building on
Vertical AI is a data problem before it's a model problem
Each vertical we go into gets its own data substrate, its own tuned models, and its own event-driven inference loop — all in one Google Cloud project. That's how a vertical AI product compounds: every booking, no-show, and re-engagement makes the next prediction sharper.
Foundation model access and fine-tuning for industry-specific models that get better as each vertical scales.
Operational + behavioral data lakehouse — the substrate that turns vertical knowledge into a defensible model.
Agent orchestration close to the realtime product surface, so AI features ship inside the app, not bolted on.
Event-driven AI pipelines. Bookings, no-shows, and customer events trigger inference and retraining.
Lightweight inference and feature extraction at the edge of every product surface.
Realtime product data and customer identity, in the same project as the AI services that learn from it.
How we build
Why vertical AI works
Most AI products are a thin wrapper around a general model. We do the opposite — build the operational software first, learn from a single industry, then make the AI feel like it was always there.
Vertical beats horizontal
Industry-specific data, industry-specific models. We build for one trade at a time and go deep, not wide.
AI augments, not replaces
Software that makes a staff member's day easier — not a chatbot that pretends to do their job.
Ship, learn, iterate
Real shops, real data, real feedback. We build with operators, not for them.
Sydney-grown, globally useful
Australian-built and Australian-compliant from day one — and engineered to travel.
What's next
cutQ is the first. Not the last.
We're mapping out the next verticals — adjacent industries where a small business owner spends their day on a clipboard or a shared spreadsheet, and where a vertical AI product would change the math. If that sounds like your trade, come chat.
Building something for a trade no one's gotten right?
Whether you're a shop owner curious about cutQ, an operator with a vertical we should look at next, or a builder who wants in — we'd love to hear from you.