LLM Fine-Tuning & Private Model Deployment

Where a general model is insufficient or your data cannot leave your boundary, we fine-tune and deploy models inside infrastructure you control. We are equally willing to tell you that retrieval augmentation would meet the requirement at a fraction of the cost.

Request a proposal for this capability Speak with the practice lead

Business outcomes

What you get from the engagement

Model performance on your domain measured against a documented baseline
Inference running inside your own network or tenancy boundary
Predictable per-token cost under your own capacity planning
A retraining pipeline your team can operate without us

Technical capabilities

What we do inside it

Training corpus construction and cleaning
Supervised fine-tuning and preference optimisation
Retrieval-augmented generation architecture
Private and VPC-isolated inference deployment
Evaluation, benchmarking and drift monitoring

Architecture and stack

How we build it

Architectural position

We benchmark retrieval augmentation against fine-tuning before recommending either. Fine-tuning is frequently the more expensive answer to a retrieval problem.

Representative technologies

Technology selection follows the requirement. This list is representative of engagements in this service line, not a constraint we impose on yours.

Service assurance

SLA, compliance and governance

Engagements in this service line are delivered under the Platinum service tier by default, against the compliance obligations below. Both are set in the engagement contract, not by this page.

Default tier

Platinum — 99.95% availability target, P1 response within 15 minutes, coverage 24 × 7 × 365.

Compliance scope

Governance

Written architecture decision records, weekly delivery reporting, and a documented handover comprising runbooks, source and credential transfer at engagement close.

Intellectual property

Client-commissioned work product vests in the client on payment. Source escrow available on request.

Service level tiers, availability targets and response commitments
Tier	Availability target	P1 response	P1 resolution target	Coverage	Service credits
Platinum	99.95%	15 minutes	4 hours	24 × 7 × 365	Yes
Gold	99.9%	1 hour	8 hours	24 × 5 plus on-call	Yes
Silver	99.5%	4 hours	2 business days	09:00–18:00 EAT	No

Publication gate G-05 — outstanding

These values illustrate the structure of the table. Each figure must be confirmed by whoever will be contractually bound by it, and the availability targets must be achievable on the underlying cloud provider SLAs before publication. Publishing a 99.95% target on infrastructure whose own composite SLA is lower creates an obligation that cannot be met.

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Request for Proposal

Begin with a scoped conversation, not a sales call.

Our intake is structured so that the first response you receive is technical. Tell us which of the following describes your position and we will route your enquiry to the engineering lead who owns that practice.

Enterprise modernisation An existing system — core, legacy or on-premises — that must be migrated, re-architected or integrated. New product build A platform to be taken from concept or specification to production under a fixed scope. Team augmentation Senior engineering capacity embedded into an existing team and roadmap.

Submit a Request for Proposal Speak with our engagement desk

Enquiries are acknowledged within one business day and answered substantively within two business days. All submissions are treated as confidential; a mutual non-disclosure agreement is available before disclosure of scope.