Services / Artificial Intelligence
Artificial Intelligence
Applied machine learning embedded in products, measured against outcomes rather than novelty.
Process
How an engagement runs
01
Framing
We define the decision the model supports and how success is measured.
02
Data
We assess, clean and structure the data the problem actually needs.
03
Modelling
We start simple, establish baselines, and only add complexity that earns its place.
04
Integration
Models ship behind clear interfaces with monitoring and human oversight.
What you receive
- Evaluated models
- Inference services & APIs
- Monitoring & feedback loops
- Model & data documentation
Technologies we reach for
Python
PyTorch
scikit-learn
Vector stores
ONNX
FAQ
Questions we hear often
With a discovery conversation. We need to understand the problem, the constraints and what success looks like before we can scope anything honestly.
Both. Well-defined problems suit fixed scope; evolving products are better served by an ongoing engagement with clear milestones.
You do. We deliver source, documentation and the means to run it independently of us.
Yes. We frequently embed alongside in-house engineers, and we document as we go so knowledge stays with you.
Other services
Let's talk
Have a artificial intelligence problem worth solving?
Tell us what you are trying to build. We will tell you honestly whether we are the right team for it — and how we would approach it.