Model fine-tuning & compliance

Models that know your domain, and can prove how they behave.

We adapt open and hosted models to your data, test them with evals and red-teaming, add guardrails, and deploy them where your data rules require: managed, self-hosted or on-prem.

Start a model project What's included

Typical timeline: 4–10 weeks

Capabilities

What's included

Data audit and dataset preparation: cleaning, labelling, train and test splits
LoRA and QLoRA fine-tuning on open models (Llama, Qwen, Mistral)
Hosted fine-tuning on OpenAI, Vertex AI or Amazon Bedrock
Eval suites and regression tests against a baseline model
Red-teaming for jailbreaks, prompt injection and data leakage
Guardrails: input and output filtering, PII redaction, policy checks
Self-hosted or on-prem deployment on your infrastructure
Audit logs, access control and data-flow documentation
Readiness work for HIPAA, GDPR and the EU AI Act

Specialisms

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How we work

From brief to live

01
Assess
3–5 days
Your data, risks and requirements, and whether fine-tuning beats prompting or retrieval at all.
02
Baseline
1 week
An eval set and baseline scores, so every change is measured against something.
03
Train and harden
2–6 weeks
Fine-tuning runs, guardrails and red-teaming, compared against the baseline.
04
Deploy
1–2 weeks
Serving on your chosen infrastructure, with monitoring, audit logs and a handover.