Custom Machine Learning Solutions
Better decisions where you make them most often: what to stock, what to charge, which lead to call first. Models trained on your own data, running in your own tools, owned by your team when we leave. The business case for it is written by the same people, before any model is trained.
Our approach
How a model reaches production
We start with the business decision the model should improve. Then machine learning engineers and data scientists design, train and deploy it on your data and your existing stack.
We stay while the model is integrated and measured against a business metric, and we train your team to run it. The model is in daily use before we leave.
- Built on what you have. Your data, your processes, your stack.
- Measured on business impact. Every model is tied to a business metric.
- Owned by your team. Handover and training are part of the work.
What we do
Four services that put a model into production and keep it there
- Forecasting & DemandForecast demand accurately enough to change what you buy, price and hold.
- Propensity & Lead ScoringPut your sales team on the leads most likely to convert and keep the rest off their list.
- Recommendation & PersonalisationShow every customer the products and content most likely to be relevant, in every channel.
- MLOps & MonitoringKeep the model accurate after go-live, with monitoring, retraining and documentation your team can follow.
Ready to build AI that is yours?
Talk to us about custom machine learning. Bring one decision you make many times a week, and you will know whether a model can improve it.