We build Artificial Intelligence that actually runs in production

Most AI projects stall at the prototype stage. Ours don't. We take messy, real-world data and turn it into deployed systems that generate measurable returns within weeks.

Send us your toughest problem
Server infrastructure with amber lighting in a modern data centre
0Models deployed
0Compute hours saved for clients
0Average accuracy improvement (%)
0Weeks avg. to first deploy

Four phases, no mystery

Every engagement follows the same structure. We wrote it down so you know exactly what happens at each stage, how long it takes and what you owe us if you walk away.

01

Data audit

We sit with your engineers and inspect the actual data: schemas, volumes, gaps, labelling quality. No slide decks. We open the database and look. If your data cannot support the goal, we say so on day two.

3–5 working days
02

Prototype sprint

A small team builds a working model on a representative subset. You see predictions, error rates and edge cases before we write a single line of production code. This phase has a fixed fee; if the results disappoint, you stop here.

2–3 weeks
03

Production hardening

We containerise the model, write monitoring hooks, build fallback logic and integrate with your existing APIs. Load testing happens against realistic traffic patterns drawn from your own logs.

4–6 weeks
04

Handover and support

Your team gets the code, the training pipeline and a runbook. We stay on a lightweight retainer for 90 days to handle drift, retraining triggers and any edge cases that surface in live traffic.

90-day retainer

What we actually build

Document intelligence

We extract structured data from invoices, contracts and regulatory filings. Our pipelines handle scanned PDFs, handwritten notes and multi-language documents with field-level confidence scores.

Anomaly detection

Fraud patterns, equipment failures, supply-chain disruptions: our models learn normal behaviour from your historical data and flag deviations in real time. Alert fatigue is a design constraint we take seriously.

Conversational AI

Custom chatbots and voice agents grounded in your knowledge base. We fine-tune language models on your support tickets and product manuals so the bot gives answers specific to your business, not generic fluff.

Demand forecasting

Time-series models trained on your sales, weather, marketing spend and competitor pricing. We deliver daily or weekly forecasts with prediction intervals so your planning team knows the confidence range, not just a point estimate.

A recent project

Automated logistics warehouse with conveyor belt systems
They reduced our mis-sort rate from 4.1% to 0.6% in eleven weeks. The model paid for itself before the retainer period ended.

— Operations director, Belfast-based fulfilment company (name under NDA)

We trained a computer-vision classifier on 23,000 labelled parcel images captured from existing CCTV feeds. The system runs on two edge GPUs mounted above the main conveyor, processing 1,200 parcels per hour with sub-200ms latency per frame.

Things clients ask before signing

The data audit phase is fixed at £2,400. Prototype sprints range from £8,000 to £18,000 depending on model complexity. Production builds are scoped individually; most fall between £25,000 and £70,000. We quote after the audit, never before.

No. We hand over runbooks, monitoring dashboards and retraining scripts designed for a general backend engineer. If you later hire ML specialists, the codebase follows standard MLOps conventions and will be familiar to them.

That is normal. The audit phase exists precisely to measure the gaps. Sometimes we can work around missing fields with proxy features or synthetic augmentation. Other times we recommend a short data-collection sprint before modelling begins. We will not pretend bad data can produce good predictions.

Yes. We deploy on AWS, Azure and GCP. We also support on-premises GPU clusters for clients with data-residency requirements. Our container images are cloud-agnostic by default.

You do. Every model weight, training script and pipeline config produced during the engagement belongs to you. We retain no licence to your data or derived artefacts after the contract ends.

Describe the problem, we will tell you if AI fits

We read every message. Expect a reply within one working day. If your problem is urgent, call us directly.

639 Lola Copse, St. Dach-Weber, Northern Ireland, GW8 8TV, United Kingdom