Custom LLM Development
Private, domain-tuned language models built around your data. Fine-tuning, dataset engineering and self-hosted open-weight deployment, for teams that need control over their models.
Your own language model
For some teams a hosted API is not enough: data cannot leave the building, latency matters, or the domain is specialised. A custom LLM, fine-tuned and self-hosted, gives you that control.
We engineer the dataset, fine-tune or adapt an open-weight model, and deploy it in your environment, with evaluation to prove it beats the off-the-shelf baseline before you rely on it.
- Fine-tuned, domain-adapted models built around your data.
- Self-hosted open-weight deployment for full data control.
- Evaluation against a baseline before anything goes live.
How we deliver
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Dataset engineering
We build and clean the training and evaluation data that determines whether a fine-tune actually works.
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Fine-tuning and adaptation
Fine-tuning and domain adaptation of open-weight models, tuned to your accuracy, tone and latency needs.
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Self-hosted deployment
Deployment in your cloud or on-premises, with monitoring, so sensitive data never leaves your control.
Frequently asked questions
When is a custom model worth it?
When data cannot leave your environment, latency or cost rule out hosted APIs, or a general model simply cannot reach the accuracy your domain needs.
Where does the model run?
In your environment, cloud or on-premises. Self-hosting open-weight models keeps sensitive data inside your perimeter.
How do you prove it is better?
We evaluate the custom model against an off-the-shelf baseline on your own tasks, so the improvement is measured before you depend on it.
Own your model, own your data
Tell us your constraints. We will scope a custom LLM that meets your accuracy, latency and data-residency needs.