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AI & MACHINE LEARNING

Machine Learning Services.

A model only gets built if your data proves it beats how you work now

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Priced per engagement
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AI & Machine Learning
Practice area
OVERVIEW

What we do here.

A model is only worth building if it beats how you make the decision today. That sounds obvious and it is the step most projects skip, which is why so many end in something impressive that nobody uses.

We take a decision your business already makes, use your own data, and measure a model against your current method. If it does not win, you get that answer for the cost of a small piece of work rather than a project. If it does, you know by how much before committing.

Cleaning and understanding your data is most of the honest work. Once a model is live it runs on your infrastructure with monitoring, because models drift as the world changes and one nobody is watching quietly becomes a liability.

ALSO IN AI & MACHINE LEARNING

The rest of this practice area.

01

Generative AI

Language models put to work on the tasks that arrive as text, drafting, summarising, classifying and answering. Built around a real use case and proven on your own material before it goes near a customer.
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02

Local Generative AI

Generative AI running on hardware you own, so nothing you feed it leaves the building. The choice when the data is confidential, regulated, or simply not something you want sitting on somebody else's servers.
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03

Generative AI Fine-Tuning Solutions

A general model made specific to your business, trained on your own documents, tone and terminology. It stops the answers reading like they came from nowhere and starts them reading like they came from you.
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04

Generative AI Cleanup

AI coding tools let people ship applications without knowing what they shipped. We go through what you have, find what will fail or leak, and get it into a state a developer can safely maintain.
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05

Intelligent eCommerce Solutions

An online store that uses what it knows about a shopper, ranking, recommending and merchandising without somebody doing it by hand. The work goes where it pays back, in basket size and repeat orders.
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COMMON QUESTIONS

The questions we get asked about Machine Learning Services

We measure it. Your current method becomes the benchmark, the model has to beat it on your own data, and if it does not you have that answer before committing to a build.

Enough labelled examples of the decision, which is usually thousands rather than millions. Quality and labelling matter far more than volume.

It always is. Cleaning and understanding it is most of the work in any honest machine learning project, and we would rather do that than build on something nobody has checked.

You do, on your infrastructure, with monitoring so you know if it drifts. Models get worse as the world changes and a model nobody watches is a liability.

Let us build your future.

Bring us a plan or just an idea. We will arrange a discovery meeting with you to go through it.

Start a conversation See what we do →