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AI & Machine Learning.

Enterprise AI and machine learning systems that automate decisions and cut operating costs

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AI & Machine Learning

Unlock the value in your data with enterprise AI and machine learning development, from computer vision and predictive analytics to intelligent automation.

Why businesses come to us for this.

Most AI work fails because nobody checked whether the data could answer the question. We start there. We take a decision your business already makes by hand, prove against your own data whether a model can make it better, and tell you if the answer is no before you have spent anything building it.

What follows is ordinary engineering. Machine learning for forecasting and classification, computer vision where the answer sits in an image, language models for the work that arrives as text, and agentic systems that act on what they find. It runs wherever it has to run, in the cloud or on your own hardware when the data cannot leave the building.

How we deliver it.

  • Discover and scope. We review your processes, systems and goals, then agree the scope, budget and timeline with you.
  • Build and ship. We build and test your system in planned stages, with progress reviews at each agreed milestone.
  • Train and hand over. We deploy, document and train your staff, then provide ongoing support once the system is live.
  • Get you running and keep you running. We handle the whole project, from planning and building your systems to getting them live. After launch we stay on to support, maintain and update everything, so your team never manages the technology.
  • Work with your team. You know the problem but not the technical solution. We validate the idea, build the system and train the people who will run it. After launch, we step back or provide continued support where needed.
  • Join your team. You have staff and a roadmap, but a skills gap is slowing down your progress. We place one of our experienced engineers within your team to close it, for an agreed fixed period or on an ongoing basis.

The services in this domain.

Which of these you need depends on where your data already sits. Most engagements start with the machine learning work, because proving the use case is what decides whether any of the rest is worth building.

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Machine Learning Services

Models that answer a question your business already asks. We prove against your own data whether a model can beat how you do it today, and tell you if the answer is no before you spend anything building it.

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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.

View service Woman looking at a holographic TV screen AI & Machine Learning

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.

View service Generative AI Fine-Tuning Solutions AI & Machine Learning

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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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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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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Intelligent Content Management Solutions

Content systems that do some of the work themselves, tagging, summarising and surfacing what is relevant. Less of the week spent filing things, and more of your catalogue actually findable.

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Further reading

General Innovation AI PCs Artificial Intelligence News, Guides & Reviews
Blog

From ELIZA to GPT: Charting the Remarkable Evolution of Natural Language Processing

Read more Blog

Why AI Adoption is Critical for Business Success

Read more Blog

Why ISO 42001 Matters: Enhancing AI Governance and Compliance in Your Business

Read more

The rest of the stack.

Most engagements draw on more than one of these.

IoT & Edge

Connected IoT and edge systems that turn live data from every site into faster decisions

Web Systems

Bespoke web systems and portals that run core processes for staff, customers and suppliers

Infrastructure

Secure cloud infrastructure and deployment pipelines that keep critical services available

SEO (Search Engine Optimisation) Services

Search strategy and technical SEO that drive qualified enquiries from your target markets

Social Media Setup & Management

Managed social media channels that strengthen your brand and keep your audience engaged

Tech Support

Dedicated technical support that resolves issues fast and protects business continuity

Retainer Packages

Reserved senior engineering capacity each month that scales with your product roadmap

FAQs

How do we know AI is actually worth it for our business?
We find out before you spend money building. We take a decision you already make by hand, test against your own data whether a model can make it better, and show you the result. If the data cannot support it we tell you, and you have lost a small piece of work rather than a project.
Do we need a lot of data before AI is possible?
Less than most people think, but it has to be the right data. A few thousand well labelled examples of a decision often beats millions of rows of something unrelated. The first thing we do is look at what you already hold and tell you honestly whether it is enough.
Will our data be used to train somebody else's model?
Not by us. Where you use a hosted model we will tell you exactly what leaves your systems and what the provider does with it. Where that is not acceptable we run the model on hardware you own, so nothing leaves the building at all.
What happens to the AI when you finish?
It runs in your accounts, on your infrastructure, documented, with whoever is going to look after it trained on it. If the arrangement ends you keep a working system rather than something only we can operate.
Is AI only worth it for large companies?
No. What matters is the volume of the decision, not the size of the company. A small business making the same judgement call two hundred times a week often gets more out of it than a large one making it twice.
How long before we see anything?
The proof of the use case is usually weeks rather than months, because it is deliberately small. Building the result and putting it into daily use takes longer, and depends entirely on what it has to connect to.

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.

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