We build, train and deploy AI models for UK companies that need practical results: faster decisions, lower costs, better forecasts. No hype, just working software.
Book a free 30-minute callMost AI projects stall because they try to solve everything at once. We pick one high-impact problem, prove the model works in four to six weeks, then scale it across your operations. Here is where we focus.
We connect your sales, inventory or operations data to a forecasting model that updates daily. One retail client cut overstock by 22% in the first quarter after deployment. The model runs on your existing cloud account; nothing proprietary locks you in.
Customer emails, support tickets, contract clauses: we train classifiers and extraction pipelines that read documents the way a careful analyst would, only in seconds. A legal-tech firm we worked with reduced manual review time from eight hours per batch to under forty minutes.
Quality inspection on a production line, vehicle damage assessment for insurance, shelf compliance checks in stores. We fine-tune detection models on your own images so the system recognises exactly what matters to you, not a generic set of objects.
Already using machine learning but unsure if it is doing what it should? We audit model performance, data pipelines and cost efficiency, then hand you a prioritised roadmap. Most audits take two weeks and cost less than a single month of wasted compute.
Every engagement follows four stages. Timelines depend on data readiness, but a typical proof-of-concept wraps up in six weeks.
We spend two to three days understanding your data landscape, business goals and existing tooling. You get a written scope document before any code is written.
A small model trained on a sample of your data. We share accuracy metrics, error analysis and a live demo so you can judge quality yourself.
The approved model is containerised, tested and deployed to your infrastructure. We set up monitoring dashboards and alerting for data drift.
Monthly retraining, performance reviews and model updates as your data changes. Support plans start at twelve months and can be extended quarter by quarter.
Three examples from the past eighteen months. Client names are used with permission.
"They built a demand forecasting model for our 1,200-SKU catalogue. Stock-outs dropped 18% over six months, and we freed up roughly £140k in working capital."
Helen Rees, operations director, Bridgend Home Supplies
"Our claims handlers were spending half their day reading damage reports. The NLP classifier now pre-sorts 87% of incoming claims correctly, which lets the team focus on edge cases."
David Okonkwo, CTO, Clearpath Insurance
"We needed a vision model that could spot hairline cracks in ceramic tiles at line speed. Supreme Ai Consult delivered a prototype in five weeks and the production version two weeks later. Rejection accuracy is above 96%."
Sara Lindfors, quality manager, Celtic Ceramics Ltd
The initial consultation is free. We will review one specific problem and tell you honestly whether a model is worth building.
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