Machine Learning Solutions Australia
Custom ML models that solve your specific business problem
Off-the-shelf AI products rarely fit the complexity of your operations. Voxotec builds bespoke machine learning solutions for Australian businesses, trained on your data, optimised for your context, deployed in your environment.
85+
ML models in production
<6wk
POC to production
94%
Avg. model accuracy
6+
Australian industries served
What we build
Machine learning capabilities we deliver
Predictive Modelling
Forecast demand, sales, churn, and risk with custom ML models trained on your historical data. Reduce uncertainty and plan with confidence.
Natural Language Processing
Sentiment analysis, entity extraction, document classification, and conversational AI. Turn unstructured text into structured business intelligence.
Recommendation Engines
Personalised product, content, and service recommendations that increase engagement, basket size, and repeat purchase rates.
Anomaly Detection
Automatically flag unusual patterns in transactions, operations, or sensor data. Detect fraud, equipment failure, and process breakdowns before they escalate.
Computer Vision
Image and video analysis for quality inspection, object detection, document processing, and retail shelf analytics.
MLOps & Model Management
We build the infrastructure to deploy, monitor, retrain, and version your models, so they stay accurate as your data and business evolve.
Our approach
Why generic AI products fall short
Most SaaS AI products are trained on generic datasets and optimised for average use cases. They work reasonably well for the majority of scenarios but fail precisely where your business is most complex, your edge cases, your unique customer behaviours, your operational quirks.
Custom machine learning means training models on your historical data, in your domain, with your business rules encoded into the feature engineering and evaluation criteria. A churn model built on your customer data will always outperform one trained on a dataset from a different industry, geography, or business model.
We are pragmatic about when to build versus buy. For standard tasks like document OCR or sentiment classification, we will often recommend and integrate a best-in-class API. For problems that are specific to your business, pricing models, risk scoring, demand forecasting, we build custom.
Every model we build comes with full documentation, reproducible training pipelines, and a monitoring framework. You own the model, the weights, and the code. No vendor lock-in.
Use cases
Machine learning across Australian industries
Retail
Demand forecasting, personalisation, markdown optimisation
Healthcare
Patient risk scoring, appointment no-show prediction, clinical NLP
Finance
Fraud detection, credit risk modelling, document automation
Logistics
Route optimisation, demand sensing, carrier risk scoring
Manufacturing
Predictive maintenance, quality control, yield optimisation
Real Estate
Property valuation models, lead scoring, market trend analysis
Related
Explore related services
Have a machine learning problem to solve?
Tell us about your data, your challenge, and what a successful outcome looks like. We will respond within one business day.