Artificial Intelligence that fits your actual business problems
We build predictive models, automate repetitive workflows, and help teams in Northern Ireland and beyond make sharper decisions with their own data. No hype. Real outputs you can measure in weeks, not quarters.
Each engagement starts with a question you need answered, not a technology we want to sell. Below are the four areas where we spend most of our time.
Predictive analytics
We train regression and classification models on your historical data to forecast demand, flag churn risk, or score leads. Typical turnaround from raw data to a validated model is four to six weeks. You receive a documented API endpoint your existing tools can call directly.
Natural language processing
Customer tickets, contracts, survey responses: we build classifiers and extraction pipelines that read text the way your staff would, only faster. One insurance client cut manual triage time by 72% within the first month of deployment.
Computer vision
Quality inspection on a production line, document digitisation, shelf-stock monitoring: we design detection and segmentation models trained on your own images. We handle annotation, training, and edge deployment if latency matters.
Data strategy consulting
Not every problem needs a neural network. Sometimes you need cleaner pipelines, better labelling practices, or a realistic roadmap before writing any model code. We run two-week audits that map your data maturity and recommend concrete next steps with cost estimates.
How we work
From first call to production in five stages
We keep the process transparent so you always know where your budget is going and what comes next.
Discovery call
A 45-minute conversation where we learn about your data, your team, and the business question you want to answer. No charge, no obligation.
Data audit
We review sample datasets for quality, volume, and bias. You get a short written report explaining what is feasible, what is risky, and what is missing.
Proof of concept
A scoped prototype built on a subset of your data. We define success metrics up front so there is no ambiguity about whether the model works well enough.
Production build
The approved model gets containerised, tested, and deployed behind an API or integrated into your existing software. We write monitoring dashboards so you can track accuracy over time.
Ongoing support
Models drift. Data changes. We offer monthly retainer packages that include retraining schedules, performance reviews, and priority access to our engineering team when something unexpected happens.
Real-world impact
What our clients have gained
Logistics firm, Belfast
A mid-size courier company asked us to reduce mis-routed parcels. We trained a classification model on three years of dispatch records and postcode data.
Mis-routes dropped from 4.1% to 0.9% in the first quarter
Annual savings estimated at £118,000 in redelivery costs
Model retrains automatically every Sunday night
Retail chain, Derry
Sixteen stores needed better demand forecasting for perishable goods. Waste was running at 11% of weekly stock. We built a time-series model fed by point-of-sale data, local weather, and school-term calendars.
Waste fell to 4.3% within eight weeks
Ordering accuracy improved by 39%
Staff spend 20 fewer hours per week on manual adjustments
Common questions
Things clients ask before signing
It depends on the problem. A simple classification task might work with a few thousand labelled records. Complex forecasting models usually need 12 months of history at minimum. During the data audit we tell you honestly whether you have enough, and if not, what options exist to bridge the gap.
Yes. About a third of our current engagements are with firms in England and Scotland. We handle everything remotely using shared repositories and weekly video calls. For on-site workshops we travel as needed.
We define clear success criteria before the PoC starts. If the model does not meet them, you get a detailed report explaining why and a recommendation on whether a different approach is worth trying. You are never locked into a production contract based on a failed experiment.
Almost always. We deploy models as REST APIs, which means any system that can make an HTTP request can consume predictions. We have integrated with Salesforce, SAP, Shopify, and a range of bespoke ERP systems. If your stack is unusual, we will assess compatibility during the discovery call.
We sign NDAs and data processing agreements before any data transfer. For healthcare or financial services clients, we can work entirely within your own infrastructure so data never leaves your environment. Our team is familiar with GDPR requirements and ICO guidance specific to automated decision-making.
Get in touch
Let us know what you are working on
Contact details
Address: 53 Beechwood Avenue, St. Mann, Northern Ireland, RS52 1YC, United Kingdom
We typically respond within one working day. If your enquiry is urgent, phone is fastest.
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Effective from 1 January 2026.
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Disclaimer
Revised: 1 January 2026.
The information on this website is provided for general informational purposes. While we make reasonable efforts to keep content accurate and up to date, we do not warrant its completeness or reliability.
Case study figures (cost savings, accuracy improvements, timeline estimates) reflect specific client engagements. Your results will depend on your own data quality, infrastructure, and business context.
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