Decisions made on instinct, not evidence
Your team has the data but lacks the tooling to extract actionable patterns. Spreadsheets and dashboards show what happened — our models show what will happen next and what to do about it.
The gap we close
Four problems we see every week
These are the patterns that keep showing up in initial calls with prospective clients. If any sound familiar, our AI software is built precisely for your situation.
Manual processes that drain skilled people
Document review, classification, routing, compliance checks — tasks that consume hours of human attention when a well-trained model can handle them in seconds with higher consistency.
Off-the-shelf tools that almost fit
You have tried generic AI platforms and found they cover eighty percent of your needs while missing the twenty percent that actually matters. Custom-built software closes that gap completely.
Scaling without proportional headcount
Revenue is growing but you cannot hire fast enough to keep quality consistent. Intelligent automation lets you scale operations without linear growth in payroll costs.
Our method
From problem statement to production system
We follow a four-phase delivery model designed to reduce risk and produce working software early. No phase lasts longer than six weeks.
1
Diagnosis
We audit your data landscape, interview stakeholders, and define the exact metric the AI system must move. Deliverable: a scoping document with feasibility assessment.
2
Prototype
A minimal model trained on your real data, tested against historical outcomes. You see results — precision, recall, latency — before committing to a full build.
3
Engineering
Production-grade code, API integration, monitoring dashboards, and automated retraining pipelines. We deploy into your existing infrastructure or a managed cloud environment.
4
Evolution
Post-launch, we track model drift, retrain on fresh data, and expand capabilities. Your AI software gets smarter every quarter without a second procurement cycle.
What we build
Capabilities across the AI spectrum
Every engagement is bespoke, but these are the building blocks we combine most often for our clients.
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Predictive analytics engines
Demand forecasting, churn prediction, risk scoring — time-series and classification models trained on your proprietary data with explainable outputs your team can trust.
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Natural language processing pipelines
Document extraction, sentiment analysis, automated summarisation, and intelligent search across unstructured text corpora in multiple languages.
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Computer vision systems
Quality inspection, object detection, and anomaly identification for manufacturing, logistics, and retail environments with edge-deployment options.
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Workflow automation with LLM orchestration
We integrate large language models into your internal tools — routing support tickets, drafting reports, classifying inbound requests — with guardrails that prevent hallucination from reaching end users.
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Data infrastructure and MLOps
Feature stores, model registries, CI/CD for machine learning, and real-time monitoring. We build the platform layer so your data science team can ship faster without operational risk.
Common questions
Things clients ask before signing
It depends on the problem type. Classification tasks can sometimes work with a few thousand labelled examples; time-series forecasting usually needs at least two years of historical records for seasonal patterns. During the diagnosis phase we assess data quality and volume honestly — if the data is insufficient, we recommend collection strategies before committing to a build.
No. We integrate with what you already have — whether that is a legacy ERP, a cloud data warehouse, or a collection of REST APIs. Our AI software is designed as a layer that sits alongside your systems, not a rip-and-replace project.
Diagnosis and prototype phases typically range from £15,000 to £40,000 depending on complexity. Full production builds vary more widely. We always scope and price before work begins, and we tie payment milestones to deliverables rather than hours logged.
You do. All models, training data derivatives, and custom code produced during the engagement belong to your organisation. We retain the right to use general methodologies and open-source components, but anything built specifically for you is yours.
Absolutely. About half our projects are collaborative — we bring production engineering and MLOps expertise while your team contributes domain knowledge and exploratory research. We document everything and conduct knowledge-transfer sessions so your people can maintain the system independently once we step back.
Start a conversation
Tell us what is not working
Describe the bottleneck, the inefficiency, or the opportunity you see. We will respond within one business day with an honest assessment of whether AI software is the right solution — and if it is not, we will tell you that too.
9 Woodside, Great Pagac Common, Northern Ireland, SP34 3TR, United Kingdom
+44 70 1848 1844
[email protected]