Service 05 / 12
AI & Machine Learning
Applied AI with a business case attached: assistants, retrieval, forecasting and automation.
We build AI features that survive contact with production: evaluated, guard-railed, cost-modelled and grounded in your own data. That means starting from the decision you want to improve, not from the model you want to use.
What you get
- LLM applications and domain assistants
- Retrieval-augmented generation over your documents
- Agentic workflows and process automation
- Forecasting, scoring and recommendation models
- Computer vision and document intelligence
- Evaluation harnesses and guardrails
What it changes
- 01Measured accuracy against a held-out set before launch
- 02Cost per request modelled at production volume
- 03Human review paths for anything consequential
Related
Often paired with
Next step
Let’s talk about ai & machine learning.
Tell us the constraint you are working against. We will tell you whether this is the right practice for it.