Service 04
Applied AI & ML Engineering
When an off-the-shelf model isn't good enough, we engineer one that is. We choose the right approach for the problem, whether that's a large language model or classical machine learning, then prove it works with proper evaluation.
What's included
- Retrieval-augmented generation (RAG) over documents, spreadsheets, knowledge bases and unstructured data, with re-ranking and retrieval tuning
- LLM fine-tuning (supervised, LoRA, preference tuning) and model selection when general models fall short
- Multimodal AI combining images, text and tabular data
- Predictive analytics: forecasting, anomaly detection, classification and clustering
- Evaluation frameworks: offline metrics, human evaluation and production monitoring
- Cost and latency optimisation: smaller models, quantisation, distillation and smarter prompting
Who it's for
Teams whose AI accuracy, cost or speed isn't good enough yet, or who need a model built for a problem that general-purpose tools don't handle well.
Track record
+24% over baseline with a multimodal document evaluation model, +40% with a multimodal forecasting model, 75% ROUGE from a fine-tuned small LLM, 83% accuracy across 11 categories with an efficient classifier, and real-time anomaly detection in production.
See case studies →Ways to start
Fixed scope, clear outcome.
Prototype to Proof
4–6 weeksA working prototype on your data, plus an evaluation report showing how well it actually performs.
AI Cost & Quality Audit
1–2 weeksA review of an existing AI system: quality, evaluation, cost and latency, with a prioritised fix list.
How we work
Pilot with proof.
- 01
Sample
We start small, on a real slice of your data or one workflow.
- 02
Side-by-side results
You see our system next to what you use today, case by case.
- 03
Cost estimate
A clear running cost at your scale before you commit.
- 04
Build
Production engineering, integration and evaluation.
- 05
Run
Monitoring, updates and support after launch.
Other services
Have a workflow you wish ran itself?
Tell us about it. In a short call we'll say honestly whether AI is the right fix, and what a small pilot would look like.