Artificial Intelligence that fits your business, not the other way around
We build predictive models, natural-language pipelines and computer-vision systems for mid-size UK companies. Each project starts with your data, your constraints and a clear delivery date.
Get a free consultationWhat we actually do
Four focused service lines. We pick the right one (or combine two) after reviewing your data and goals in a 45-minute discovery call.
Predictive analytics
We train regression and classification models on your historical sales, churn or maintenance data. Typical turnaround is six weeks from kick-off to a deployed API your team can query in real time. One logistics client reduced late deliveries by 23% within three months of go-live.
Natural language processing
Chatbots, document classifiers, sentiment trackers. We fine-tune large language models on your domain vocabulary so the system understands your industry jargon from day one. A financial-services firm we worked with cut manual email triage time from four hours a day to under forty minutes.
Computer vision
Quality-control cameras on a production line, shelf-stock monitoring in retail, or safety-helmet detection on construction sites. We handle annotation, model training and edge deployment. Most vision projects reach 95%+ accuracy within the first iteration.
AI strategy and audits
Not sure where AI fits? We audit your existing data estate, map it against your KPIs and deliver a prioritised roadmap. The report includes effort estimates, infrastructure costs and expected ROI for each opportunity. Engagements typically last two to three weeks.
How a project runs
We keep things predictable. Four stages, weekly status calls, and a fixed-price quote agreed before any code is written.
Discovery call
A 45-minute video call where we learn about your data sources, business goals and timeline. No slides, no sales pitch. We ask direct questions and take notes you can review afterwards.
Data review and proposal
Within five working days we send a written proposal: scope, architecture sketch, milestones, fixed price. If your data needs cleaning or enrichment, we flag that upfront with a separate line item.
Build and iterate
Sprints of two weeks. At the end of each sprint you see working software, not a PowerPoint. We adjust model parameters and feature sets based on your feedback and live performance metrics.
Deploy and support
We deploy to your cloud environment (AWS, Azure or GCP) and hand over documentation, monitoring dashboards and a 90-day support window. After that, optional retainer plans keep the model fresh as your data evolves.
Talk to us
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