AI consulting & delivery

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.

Talk to our team
Data scientists reviewing Artificial Intelligence model outputs on screen
87
Models deployed
14
Industries served
6 yrs
Average team experience
98%
Client retention rate

What we deliver

Services built around measurable outcomes

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

Automated warehouse using Artificial Intelligence for parcel sorting

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
Fresh produce section in a retail store optimised by AI demand forecasting

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

Phone:
+44 982 726 6235

Email:
[email protected]

We typically respond within one working day. If your enquiry is urgent, phone is fastest.