We design, train and deploy machine learning models for companies that want measurable results, not buzzwords. From demand forecasting to document processing, every project ships with clear metrics and a maintenance plan.
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Most AI consultancies hand you a slide deck. We hand you a working system, tested against your own data, with documentation your developers can follow. Here is what that looks like in practice.
We build regression and classification models that forecast demand, churn, equipment failure and cash flow. A typical project takes four to eight weeks. You get a REST API endpoint your existing systems can call, plus a monitoring dashboard that alerts you when model accuracy drifts below your threshold.
Invoices, contracts, insurance claims: we train extraction pipelines that pull structured data from messy PDFs and scanned images. Our OCR plus NLP stack handles multi-language documents and learns from corrections your team makes, improving accuracy week over week.
Quality inspection on a production line, shelf-stock detection in retail, safety monitoring on construction sites. We fine-tune object detection and segmentation models on your specific images, then deploy them on edge hardware or cloud GPUs depending on latency requirements.
Customer support bots that actually resolve tickets instead of looping callers. We integrate large language models with your knowledge base, CRM and ticketing system so the bot can look up order status, process returns and escalate to a human when it should. Average setup: six weeks.
We have delivered 47 production AI systems since 2019, across logistics, insurance, retail and manufacturing. Twelve of those replaced vendor solutions that cost three to five times more per year.
Every engagement starts with a two-week data audit. We look at what you collect, how clean it is and whether the problem you want to solve is actually the right problem. Sometimes it is not, and we tell you that before you spend money.
After deployment, we monitor model performance for 90 days at no extra charge. If accuracy drops below the agreed threshold, we retrain and redeploy within five business days.
Our team of nine includes four ML engineers, two data engineers, a UX designer who builds the dashboards, and two project managers who keep timelines honest. Everyone is based in the UK, and we work in your timezone.
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32 Torp Fields, Smithamford, Northern Ireland, WP97 1TR, United Kingdom