An AI platform for the industries we build for

We build AI capabilities once. Then ship them through vertical products.

Forecasting, personalization, decision-support — designed as platform primitives, not one-off features. Each new vertical product inherits them on day one. The first vertical is cutQ. The next ones are being scoped now.

Platform capabilities

The primitives every vertical inherits

🧠

Smart scheduling

A scheduling engine that learns each shop, each staff member, and each service. Suggests slots that maximize chair utilization without overbooking. Adapts as the patterns change.

🎯

No-show prediction

Predicts which bookings are likely to cancel late or no-show. Triggers smarter reminders, optional deposits, or auto-fill from a waitlist — before the revenue walks out the door.

📈

Demand forecasting

Reads patterns across days, services, weather, and local events to recommend staff levels a week ahead. Less guesswork on rosters. Fewer empty chairs and fewer turn-aways.

Customer insights

Detects churn signals from visit cadence and service mix. Surfaces the right customer, the right offer, the right moment — without spamming the rest.

💬

Multi-modal customer comms

AI-assisted messaging across SMS, WhatsApp, and in-app chat. Handles intent classification, automated replies for common questions, and graceful handoff to staff for the rest.

🧭

Decision support for operators

A copilot for the person running the shop. Pricing suggestions, staff coaching insights, supplier reorder cues — surfaced where they already work, not in a separate dashboard.

How it works

Data, models, product — in one loop

The flywheel is simple. Each vertical product captures the data only it can see, that data tunes vertical-specific models, and those models ship as features inside the same product. Every booking, no-show, and re-engagement makes the next prediction sharper.

01

Vertical operational data

Bookings, queues, services performed, products sold, staff hours. The data only a vertical product captures.

02

Tuned models per vertical

Foundation models fine-tuned on industry-specific data. Generic AI misses the patterns. Vertical AI compounds them.

03

AI inside the product

Capabilities ship inside the same screens operators already use — not as a separate tool, not as a chatbot bolted on.

Built on the platform

Products in flight

✂️

cutQ

In development · Personal-care businesses

Full management for barbershops, hair salons, beauty clinics, nail bars, and day spas. Queue + bookings + POS + staff, with the platform built in from day one.

🗺️

Next vertical

Mapping · TBA

We're scoping adjacent industries where small operators run on clipboards and shared spreadsheets — and where vertical AI would change the math. If that's your trade, we want to hear from you.

🍻

Keen for a chat?

Whether you've got a project in mind or just want to pick our brains, we're always up for a yarn. No sales pitch, we promise.