Your data already holds answers about what customers will do next, where costs are hiding and which risks are growing. Machine learning finds those patterns and puts them to work.
We build predictive models that are accurate enough to act on and simple enough to explain, and we put them where decisions are made: in dashboards, alerts and the applications your team already uses.
What we deliver
- Demand, sales and capacity forecasting
- Customer churn and lifetime-value models
- Recommendations and personalisation
- Anomaly and fraud detection
- Computer vision for inspection and counting
- Dashboards that explain what the models see
Where machine learning pays off
Inventory planning
Forecast demand by product and location so you stock what will sell and stop paying for what will not.
Customer retention
Spot the customers likely to leave in time for your team to act.
Early warning
Detect unusual transactions, equipment readings or system behaviour as it happens.
Visual inspection
Check products, documents or site photos automatically and flag the ones that need a person to look.
Technologies we work with
- Python
- scikit-learn
- PyTorch
- XGBoost
- BigQuery ML
- Vertex AI
- SageMaker
- Power BI
- Looker Studio