Artificial intelligence that works for your business
We build AI systems tailored to your data, your workflows, and your goals. No generic solutions. Real models trained on your inputs, deployed where they matter.
We build AI systems tailored to your data, your workflows, and your goals. No generic solutions. Real models trained on your inputs, deployed where they matter.
We are a team of machine learning engineers, data scientists, and software developers based in Northern Ireland. Since 2019, we have delivered over 120 AI projects for clients ranging from two-person startups to FTSE 250 firms.
Our focus is narrow on purpose. We do three things well: we clean and structure messy data, we train models that actually generalise beyond the training set, and we deploy those models into production systems that run reliably at scale. Each project starts with a four-week discovery phase where we audit your existing data, define measurable success criteria, and map out the integration points with your current software stack.
Most of our clients come to us after a failed attempt with a larger consultancy. The pattern is familiar: a proof-of-concept that looked promising in a Jupyter notebook but never survived contact with real-world data. We fix that gap.
Each service includes full documentation, model versioning, and a 90-day support window after deployment.
We train supervised and unsupervised models for classification, regression, clustering, and anomaly detection. Typical turnaround for a production-ready model is six to ten weeks, depending on data volume and labelling requirements.
From sentiment analysis on customer reviews to document classification pipelines that process 50,000 PDFs per day, our NLP work covers text extraction, entity recognition, summarisation, and intent detection. We fine-tune transformer models on your domain-specific corpus.
Object detection, image segmentation, optical character recognition, and quality inspection on manufacturing lines. We have deployed vision models to factory floors, retail stores, and drone-based surveying platforms. Inference times under 40ms on edge hardware.
Time-series forecasting for demand planning, churn prediction models that flag at-risk customers 30 days before cancellation, and pricing optimisation engines. We work with tabular data, event streams, and hybrid structured/unstructured datasets.
Your model is only useful if your software can call it. We build REST and gRPC APIs, handle containerisation with Docker and Kubernetes, set up monitoring dashboards, and configure auto-scaling so inference costs stay proportional to traffic.
Not sure where AI fits? We run a two-week audit of your operations and data infrastructure, then deliver a report that ranks opportunities by expected ROI, technical feasibility, and data readiness. No jargon, no slides full of buzzwords.
We audit your data, interview stakeholders, and define the success metric. This takes two to four weeks.
A working model on a representative data sample. You see results before we commit to full-scale training.
Model training on the full dataset, API development, integration testing against your live systems.
We deploy, set up alerting for model drift, and provide 90 days of post-launch support at no extra cost.
It depends on the task. For a text classifier, a few thousand labelled examples often suffice. Computer vision tasks usually need more: 5,000 to 20,000 annotated images for reliable results. During the discovery phase we assess what you have and whether augmentation or synthetic data generation can fill gaps.
Engagements start at £8,000 for a focused NLP or tabular ML project. Larger builds involving computer vision pipelines, multi-model architectures, or custom hardware deployment typically fall in the £25,000 to £75,000 range. We quote fixed-price after the discovery phase so there are no surprises.
Yes. About 60% of our clients are elsewhere in the UK, and we serve several EU-based companies as well. All collaboration happens through secure video calls, shared Git repositories, and a project dashboard you can check any time.
You do. Once the final invoice is paid, all model weights, training code, data pipelines, and documentation transfer to you under a perpetual, royalty-free licence. We retain no copies unless you explicitly ask us to host the model on your behalf.
Absolutely. We frequently take over models built by other teams. We start with a performance audit, identify bottlenecks in the data pipeline or architecture, and then retrain or fine-tune. In one recent case we improved a client's churn prediction accuracy from 71% to 89% by restructuring their feature engineering pipeline alone.
Tell us about your project. We respond within one business day.
1 Wendell Wynd, Graham-Aufderhar-le-Kulas, DB41 7LD, Northern Ireland, United Kingdom
