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Solution

AIModelTraining

Custom model training and fine-tuning on your data, tuned for your domain.

From £20,000Indicative. Every project is quoted to scope.

We fine-tune and train custom models up to 96B parameters on your own data, including RLHF where it improves real outcomes. We are straight about what fine-tuning can and cannot fix, and where retrieval or prompting would serve you better.

What we do

Fine-tuning

Adapting open models to your domain and tone on curated data, with evaluation against clear tasks rather than guesswork.

Custom training

Training runs up to 96B parameters where scale is justified, with data preparation and checkpoints you can inspect.

RLHF and evaluation

Preference tuning and structured evaluation so improvements are measured, repeatable and tied to your use case.

Where it fits

Use cases.

Organisations with proprietary data a general model cannot reachTeams needing a model tuned to their domain and toneProducts requiring predictable, evaluated model behaviourCompanies weighing custom training against off-the-shelf models

Domain fine-tuning

We fine-tune a base model on your own data so it speaks your domain and follows your conventions. The result reflects how your organisation actually works rather than a generic default.

Preference alignment

Using RLHF, we shape a model towards the answers your reviewers prefer and away from the ones they do not. Your team's judgement is captured in the model's behaviour.

Evaluation and comparison

We build an evaluation suite that measures a model against tasks that matter to you. That gives an honest basis for deciding whether custom training beats an off-the-shelf option.

Capabilities

Everything it covers.

  • Custom training and fine-tuning up to 96B parameters
  • Training on your own proprietary data
  • RLHF to align outputs with reviewer preferences
  • Evaluation suites built around your real tasks
  • Data preparation, cleaning and curation
  • Honest comparison against off-the-shelf models
  • Deployment guidance for hosting the trained model
  • Documented process so results can be reproduced

Typical timeline

A scoped fine-tune and evaluation generally runs six to twelve weeks. Larger models and RLHF programmes take longer and are planned in phases.

How scope works

Results depend heavily on the quality and quantity of your data, and we say so plainly. Where an off-the-shelf model would serve you better, we will recommend it rather than train for its own sake.

From £20,000

How we work

Four steps, no surprises.

01

Scope

We map the goal, the constraints and the risks, and agree a fixed brief before anything starts.

02

Design

Interfaces, architecture and the plan, reviewed with you before a line of code is written.

03

Build

Type-safe, tested delivery in short increments you can see and steer.

04

Launch & care

We ship, hand over everything, and keep it running if you want us to.

What you get

Deliverables

  • Curated and documented training dataset
  • Fine-tuned or trained model weights
  • Evaluation report against defined tasks
  • Inference deployment guidance
  • Retraining and versioning plan

Tools & technology

  • Fine-tuning
  • Up to 96B parameters
  • Custom models
  • RLHF

Outcomes

What you can expect.

A model reflects your domain, data and preferred behaviour

Performance is measured against your own tasks, not generic benchmarks

You get a clear view of whether custom training is worth it for you

The training process is documented and reproducible

Questions

Good to know.

How long does AI Model Training take?

Timelines depend on scope. Most engagements run from a few weeks to a few months, and you get a firm estimate after a short scoping call.

How is it priced?

From £20,000 is an indicative starting point. Every project is quoted to the scope we agree, with no surprises later.

Do we own what you build?

Yes. You own the source code, the design files and the accounts. There is no lock-in.

Do you maintain it after launch?

We can. Hosting, monitoring and updates are available as an ongoing plan, or we hand over cleanly to your team.

Start a project

Let'sbuildyouraimodeltraining.