We build machine-learning models, automate repetitive workflows, and turn raw data into forecasts you can act on. Based in Northern Ireland, working with companies across the UK and Europe.
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Four core service areas, each tailored to the size and data maturity of your organisation.
We train regression and classification models on your historical data to forecast demand, churn, or equipment failure. Most projects go from raw data to a working dashboard in six to eight weeks. You get a model that re-trains itself monthly, a REST API for your existing systems, and documentation your own developers can maintain.
Invoice processing, email triage, compliance document review: these tasks eat hours every week. We connect language models and optical character recognition to your existing tools so the repetitive work runs on autopilot. A typical invoice-processing pipeline handles around 2,000 documents per day with under 2 % error rate after a two-week tuning period.
From defect detection on a production line to counting vehicles in a car park, our vision models run on edge hardware or in the cloud. We handle annotation, model selection, and deployment. One retail client reduced shelf-audit time from four hours to forty minutes per store by letting a camera system flag out-of-stock items automatically.
Generic chatbots give generic answers. We fine-tune large language models on your internal knowledge base so they respond accurately about your products, policies, and pricing. The fine-tuning cycle takes roughly three weeks, and we host the model on UK-based infrastructure so your data never leaves the jurisdiction.
A clear four-phase process keeps timelines honest and costs visible.
We spend two to three days with your team, mapping the business problem and reviewing the data you already collect. If critical data is missing, we tell you before any contract is signed.
A small model trained on a sample of your data, delivered within three weeks. You see real accuracy numbers and can decide whether to proceed to full development.
The model is hardened, connected to your systems via API, and tested under load. We write monitoring dashboards so you can track prediction accuracy in real time.
Models drift as data changes. Our support plans include monthly re-training runs, performance reports, and a guaranteed four-hour response time for critical issues.
Practical reasons, not slogans.
Every model we deploy runs on servers in the United Kingdom. Your training data and inference logs stay within UK data-protection jurisdiction, which simplifies compliance for regulated industries like finance and healthcare.
The PoC phase has a flat fee agreed before work starts. If the model cannot meet the accuracy threshold we define together, you owe nothing for the production phase.
We deliver source code, model weights, and deployment scripts. If you want to bring maintenance in-house after launch, you can. We even run a two-day handover workshop with your engineering team at no extra charge.
Six engineers, each with at least eight years in machine learning. No junior rotation, no offshore hand-offs. The person you talk to in the discovery meeting is the same person writing your model code.