Machine learning, trained on your data.
We don't just plug in ChatGPT, Claude or Gemini. We design, train and run our own models for the decisions your business makes every day. If you need it, we build the whole system in house for you: your data, your model, running in your own accounts.
Our toolkit: supervised and unsupervised learning, linear and logistic regression, gradient boosted trees, statistical anomaly detection, time series forecasting, clustering, computer vision, and large language models such as ChatGPT, Claude or Gemini where they earn their place.
Spot fraud as it happens.
Supervised learning. We train a classifier on your past transactions, labelled good and bad, so it learns where the line sits. Every new transaction gets a risk score, and the risky ones wait for a person to check.
For lenders, payment providers, insurers and online stores.
Put a number on it.
Linear regression and its relatives. The model learns how price or demand moves with the things you already know, such as size, location, season or weather, and tells you how sure it is.
For property valuations, quoting, pricing and demand.
Catch the one that doesn't fit.
Statistical machine learning. We model what normal looks like for your payments, sensors or claims, and flag anything far outside it, including patterns nobody has labelled before.
For duplicate invoices, expense fraud, equipment faults and unusual claims.
See next week before it arrives.
Time series forecasting. The model learns your seasons, weekdays and trends, then forecasts with an honest range instead of a single guess.
For rosters, stock orders, cash flow and bookings.
Find the groups you didn't know you had.
Unsupervised learning. Clustering sorts customers by how they actually behave, with no labels needed, so marketing and service can treat each group differently.
For retailers, gyms, subscriptions and member organisations.
Know who's about to leave, and why.
Gradient boosted decision trees. The model learns from history which members, tenants or customers tend to leave, and shows the reasons behind every score.
For churn, lead scoring, credit decisions and triage.
Read and route every document.
Language models, fine tuned on your own documents, classify, extract and route claims, complaints, invoices and referrals. Where a large language model such as ChatGPT, Claude or Gemini genuinely helps, we use one, measured on your data.
For insurers, clinics, councils and busy shared inboxes.
Give your cameras a job.
Computer vision. We train models to count, measure, inspect and identify from photos and video, tested on images from your own site before anyone relies on them.
Defects on a production line, stock on a shelf, hard hats and hi vis on a work site, species in camera trap photos, fruit and livestock counts and details read off scanned forms.
How we build a model.
We start with your data and check it's good enough to learn from.
We pick the simplest method that works, from linear regression to gradient boosted trees and neural networks.
We test it on examples it has never seen and show you plainly how often it's right, and where it's wrong.
We run it where you need it, with Australian data options, and watch it for drift as your business changes.
Built in house. Owned by you.
When the data can't leave your walls, we build the system inside them: in your own cloud account, on Australian infrastructure, or on a local model. You own the model, the code and the training data. No black box, and no per seat AI subscription.