Services / Applied AI and machine learning
AI and machine learning that keeps working after the demo
Most AI pilots never reach production. We build the model and the path to production together, so it keeps delivering after go-live.
Why pilots stall
The data is not ready
The model works on a sample, but the real data is late, incomplete or locked in other systems.
No path to production
A notebook is not a service. Without deployment, testing and monitoring, the pilot stays a pilot.
No owner after go-live
Models drift as the business changes. Someone has to watch them and retrain them.
Use cases we build
Forecasting and planning
Demand, capacity and volume forecasts that planners can act on.
Anomaly detection
Spotting unusual transactions, readings or data loads before they cause damage.
Document and email understanding
Extracting and classifying information from the documents your teams handle every day.
Assistants on company knowledge
Generative AI that answers from your own documents with retrieval-augmented generation (RAG), with sources shown.
Responsible AI and the EU AI Act
We build risk classification, documentation and human oversight into the delivery from the start. This is practical engineering guidance, not legal advice.
Technology
Entry offer
AI Use-Case Sprint
From idea to a working model on your own data, and a plan to put it into production.
- Duration
- 4–6 weeks
- Price
- Fixed price, agreed up front
You get
- Prioritised use case
- Working model on your data
- Production plan
Related cases
Not sure where to start?
Book a 30-minute Data & AI review. You get a frank view of your platform and the first three steps.