Predictive analytics
We train regression and classification models on your historical data to forecast demand, churn, or equipment failure. Typical turnaround for a production-ready pipeline: four to six weeks from raw data to API endpoint.
What we actually build
Each engagement starts with a two-day data audit. We look at what you have, what you need, and whether AI is even the right answer. Sometimes a well-written SQL query saves you six figures.
Document intelligence
Invoices, contracts, medical records: we build extraction pipelines that pull structured fields from messy PDFs. Our models handle handwriting, stamps, and multi-language documents without manual templates.
Computer vision
Quality inspection on a production line, livestock monitoring from drone footage, shelf compliance in retail. We deploy YOLO-family detectors and custom segmentation models that run on edge hardware when cloud latency is too slow.
AI strategy and training
Half-day and full-day workshops for leadership teams who want to separate hype from ROI. We walk through your data estate, identify three to five feasible use cases, and rank them by expected payback period.
Large language model integration
Fine-tuning open-source LLMs on your internal knowledge base, building retrieval-augmented generation systems, and setting up guardrails so the model does not hallucinate customer-facing answers. We keep your data on-premises if compliance requires it.
From problem to production
Five phases, each with a clear deliverable you can review before we move on.
1
Data audit
We catalogue your sources, check quality, and flag gaps. Takes two days on site.
2
Feasibility report
A ten-page document with recommended approach, estimated accuracy, and cost breakdown.
3
Prototype
Working model on a sample of your data, tested against agreed metrics. Usually ready in three weeks.
4
Production build
Containerised deployment, monitoring dashboards, and automated retraining triggers.
5
Ongoing support
Monthly model health checks, drift detection, and priority bug fixes for twelve months.
Measured outcomes
Numbers from real engagements, anonymised where client agreements require it.
37%
Reduction in manual invoice processing time for a Belfast logistics firm after deploying our document extraction pipeline. The team reassigned two full-time data-entry staff to customer service roles.
£420k
Annual savings in raw-material waste for a food manufacturer in Derry. The predictive model forecasts daily demand within 4% accuracy, so production runs match orders more closely.
12 days
Time from kick-off to a working churn prediction model for a SaaS company with 80,000 subscribers. The model flagged at-risk accounts 30 days before cancellation, giving the retention team a real window to act.
98.6%
Defect detection accuracy on a bottling line using a single industrial camera and our custom vision model. False-positive rate stayed below 0.3%, which meant the line did not stop unnecessarily.
Common questions
How much data do we need before AI is viable?▾
It depends on the task. A simple classification model can work well with a few thousand labelled examples. Computer vision projects typically need 500 to 2,000 annotated images per class. During the data audit we tell you honestly whether you have enough, and if not, we outline practical ways to collect or augment what is missing.
Can we keep our data on our own servers?▾
Yes. We routinely work with on-premises deployments, especially for clients in healthcare and finance. Our engineers connect via VPN, train models on your infrastructure, and nothing leaves your network. Cloud training is faster and often cheaper, but the choice is yours.
What does a typical engagement cost?▾
The two-day data audit is a fixed fee of £2,400. After that, project costs range from £8,000 for a focused proof-of-concept to £60,000 or more for a full production system with ongoing support. We give you a binding quote before any development starts.
Do you work with companies outside Northern Ireland?▾
Absolutely. About half our clients are elsewhere in the UK, and we have completed projects for firms in Dublin and Amsterdam. Remote collaboration works well for most phases; we travel on site for the initial audit and for hardware-dependent deployments like edge vision systems.
What happens if the model stops performing?▾
All production deployments include drift monitoring. When incoming data shifts enough to degrade accuracy beyond a threshold you set, the system alerts us and queues a retraining job. Our twelve-month support package covers up to four retraining cycles at no extra cost.
Let's figure out if AI fits your problem
Send us a short description of what you are trying to solve. We will reply within one working day with an honest assessment of whether our help makes sense for your situation.
720 Lindgren Corner, Stokesborough, Northern Ireland, NJ13 7KG, United Kingdom