We build, train and deploy machine-learning models for companies that want measurable gains, not buzzword decks. Based in Scotland, working across the UK and beyond.
Book a free 30-minute AI audit
Every engagement starts with your data, not a sales pitch. Here are the four areas where we spend most of our time.
We take your historical sales, sensor or operations data and turn it into forecasts you can act on. Most models start returning value within four weeks of the first data handover. Typical accuracy improvements range from 18% to 35% over existing spreadsheet methods.
Quality control on a production line, automated document scanning, livestock monitoring: if a camera can see it, we can train a model to classify or measure it. We handle annotation, training and edge deployment so the model runs where it is needed.
Customer support triage, contract clause extraction, sentiment tracking across reviews: our NLP pipelines read English and Gaelic text at scale. We fine-tune open-weight large language models so your data never leaves your infrastructure.
A model that drifts is worse than no model at all. We set up monitoring dashboards, automated retraining pipelines and alerting so your predictions stay accurate month after month. Typical retainer clients see fewer than two hours of unplanned downtime per quarter.
Real projects, real numbers. Client names are anonymised where NDAs apply.
Demand-forecasting model reduced over-staffing costs by 22% across three distribution centres. The model ingests weather, calendar and order-pipeline data daily and outputs shift recommendations 72 hours ahead.
Predictive analytics
Computer-vision defect detection replaced manual spot checks. Defect escape rate dropped from 1.4% to 0.09% in the first eight weeks. The system runs on two edge GPUs installed on-site.
Computer visionFive steps from first call to production model. No step takes longer than two weeks unless your data pipeline requires custom integration.
We spend 30 minutes understanding your problem, your data estate and your budget constraints. No commitment, no cost. By the end of the call you will know whether AI is a realistic fit.
Our engineers review a sample of your data for quality, volume and labelling gaps. We produce a written feasibility report within five working days, including an accuracy estimate and a cost breakdown.
A working model trained on your data, tested against a holdout set, presented in a live demo. You see real predictions on real inputs before any long-term contract is signed.
We containerise the model, connect it to your existing systems via API or batch pipeline, and run a two-week shadow period where the model scores alongside your current process so you can compare outputs.
Drift detection, retraining triggers, monthly performance reports. You get a Slack or Teams channel with direct access to the engineer responsible for your model.
It depends on the task. A tabular forecasting model can produce useful results with as few as 2,000 rows of clean historical records. Image classification typically needs 500 to 1,000 labelled images per class. During the data audit we will tell you honestly whether your volume is sufficient or whether we need to augment it.
Your choice. We deploy to AWS, Azure, GCP or on-premise hardware. For latency-sensitive applications like real-time vision inspection we recommend edge devices. For batch workloads, cloud is usually cheaper. We spec both options in the feasibility report so you can compare costs.
Yes. About 40% of our current clients are based elsewhere in the UK, and we have two active projects in the Republic of Ireland. Discovery calls and data audits happen remotely. For on-site deployment we travel to your facility and charge travel at cost.
We agree on a minimum performance threshold before the prototype phase begins. If the prototype does not meet that threshold after two iteration cycles, you owe nothing beyond the data-audit fee. We have invoked this clause three times in five years, so it is rare, but the safeguard exists.
Data audit: fixed fee, typically £1,200 to £2,800 depending on complexity. Prototype and deployment: project-based quote. Ongoing monitoring: monthly retainer starting at £650. We do not charge per API call or per prediction, so your costs stay predictable even as usage grows.
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Phone: +44 1678 428831
Email: [email protected]
Address: 5 Samuel Gate, Harber Park, Scotland, MN51 3XQ, United Kingdom
Our office hours are Monday to Friday, 09:00 to 17:30 GMT. We aim to schedule discovery calls within 48 hours of your enquiry.