A model that already knows your business.
We fine-tune open and commercial language models on your own data, so answers sound like you and get your domain right the first time.
In plain words.
Fine-tuning takes a capable general model and trains it further on examples from your business: past tickets, product data, policies and the way your best people write. The result answers in your voice, follows your rules and needs far shorter prompts.
Customer support
Answers grounded in years of resolved tickets, in your tone.
Document drafting
Quotes, reports and letters that follow your templates and terms.
Classification
Route, tag and prioritise emails, leads or claims automatically.
Domain language
Banking, legal, medical or technical vocabulary handled correctly.
How we deliver it.
Audit the data
What you have, what is usable, and what must stay private.
Build the dataset
Cleaning, labelling and evaluation sets that reflect real work.
Train and evaluate
Fine-tune, then measure against the base model on your test cases.
Deploy and monitor
Ship behind an API or inside your tools, with quality tracking.
What you get.
- A fine-tuned model and its evaluation report
- Training and evaluation datasets you own
- Deployment on cloud or your own servers
- A retraining plan as your data grows
Fair questions.
How much data do we need?
Often less than people expect. A few hundred high-quality examples can change behaviour noticeably, and thousands make it robust. We assess your data before quoting.
Do we own the model?
Yes. You own the datasets, and fine-tuned open models are yours to host anywhere. With commercial APIs, the tuned model lives in your own provider account.
Fine-tuning or RAG?
Fine-tuning teaches behaviour and style; RAG gives a model up-to-date facts. Many projects use both, and we will tell you honestly which one your problem needs.
Let's scope your pilot.
Tell us where LLM fine-tuning could save your team time. We will reply within one working day with honest next steps.