Data science team working with neural network visualisations

Artificial Intelligence that works for your business

We build machine learning models, natural language systems and computer vision tools that solve the specific problems your team faces every day.

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What we actually do

Most AI consultancies talk in abstractions. We prefer to talk about your data, your bottleneck and what we can ship in the first eight weeks. Our team of twelve engineers and applied researchers works from our office on Norman Avenue in Birmingham, though roughly half of our projects are with clients elsewhere in the UK and across Europe.

Since 2019 we have delivered 47 production models. Fourteen of those run in regulated industries (insurance, healthcare, energy) where audit trails and explainability are not optional. We know how to satisfy a compliance review because we have sat through plenty of them.

Predictive analytics

Demand forecasting, churn prediction, pricing optimisation. We train gradient-boosted and deep-learning models on your historical data, validate them against hold-out sets and deploy them behind a REST API your existing systems can call.

Document intelligence

Invoices, contracts, medical letters: we build pipelines that extract structured fields from unstructured documents with 96%+ accuracy, using a combination of OCR, layout analysis and fine-tuned language models.

Conversational AI

Customer-facing chatbots and internal knowledge assistants grounded in your own documentation. We handle retrieval-augmented generation, guardrails and ongoing monitoring so the bot stays accurate as your content changes.

Why teams choose us

Whiteboard with machine learning architecture sketches

We are small on purpose. Every project is led by a senior engineer who writes code, not just slide decks. You will never be handed off to a junior team after the sales call.

Pricing is transparent. We quote fixed fees for discovery sprints (typically two weeks at £6,500) and time-and-materials for build phases, capped at a maximum you agree to before work starts. No surprise invoices.

Our standard contract includes a 90-day support window after go-live. During that period we fix bugs, retrain models if data drift appears and answer questions from your engineering team at no extra cost.

We are comfortable working inside your cloud account (AWS, Azure or GCP) so your data never leaves your perimeter. If you do not have cloud infrastructure yet, we can set it up and hand over the keys.

Ready to talk about your data?

Book a free 30-minute call. We will ask about your data sources, your goals and your timeline, then tell you honestly whether AI is the right tool for the job.

Contact us

A few numbers

We track outcomes, not activity. Here is what the last three years look like.

47

Models deployed to production since 2019

96%

Average accuracy on document extraction tasks

8 weeks

Typical time from kick-off to first working prototype

12

Engineers and researchers on the team