We build, train and deploy machine-learning models for companies that need answers faster than their data grows. Based in Wales, working across the UK and Europe.
Talk to our AI teamMost AI consultancies hand you a slide deck and disappear. We stay until the model runs in your pipeline without anyone babysitting it.
We connect to your existing databases, warehouses or spreadsheets. No migration required. Our engineers catalogue what you have, flag gaps, and draft a feasibility memo within five business days. If the project isn't viable, we tell you now and charge nothing beyond this step.
We pick the simplest architecture that solves the problem. Sometimes that's a gradient-boosted tree; sometimes it's a fine-tuned transformer. You get a working prototype running against a test set, with precision and recall numbers you can verify yourself.
The model connects to your software through a REST API or a batch pipeline, depending on latency requirements. We write the glue code, set up monitoring dashboards, and run load tests against realistic traffic patterns.
Your team gets a two-hour walkthrough of the architecture, a runbook for common failure modes, and access to our on-call channel for the first 90 days. Retraining scripts ship with the model so you can update it quarterly without calling us.
Each engagement starts from your business question, not from a technology wishlist.
Demand forecasting, churn prediction, equipment failure alerts. We train regression and classification models on your historical data and deploy them where decisions happen: inside your CRM, ERP or custom dashboard. Typical accuracy improvement over rule-based systems: 18–34 percentage points.
Quality inspection on production lines, document digitisation, shelf-stock monitoring. We handle annotation, model training and edge deployment on NVIDIA Jetson or equivalent hardware. Our smallest production vision model runs inference in 14 ms per frame.
Ticket classification, sentiment analysis on customer reviews, contract clause extraction. We fine-tune open-source large language models so your data never leaves your infrastructure. Average training time for a domain-specific NLP model: three to five days on a single A100 GPU.
A one-day or two-day session with your leadership team. We map every process that could benefit from automation, rank them by ROI and data readiness, and leave you with a prioritised backlog. No jargon. Participants walk away knowing exactly which project to fund first.
Already have a model but no confidence it still works? We set up drift detection, automated retraining triggers and alerting through Grafana or your existing observability stack. Monthly model health reports included for the first year.
Numbers our clients have given us permission to share.
A Cardiff-based online retailer asked us to reduce garment returns caused by poor size selection. We trained a recommendation model on purchase-and-return history for 120,000 customers. The model suggests the right size at checkout, and return rates dropped from 29% to 17% within four months.
Vibration sensor data from 14 packaging machines fed a random-forest classifier that flags bearings likely to fail within 72 hours. Unplanned downtime fell by 63%, and the maintenance team now orders parts before anything breaks.
It depends on the task. A tabular classification problem can work with a few thousand labelled rows. Computer vision usually needs at least 500 annotated images per class, though we use data augmentation to stretch smaller sets. During the data audit in week one, we will tell you honestly whether you have enough.
Yes. About half our clients are elsewhere in the UK, and we have ongoing contracts in Germany and the Netherlands. All collaboration happens over video calls and shared repositories. On-site visits are available if the project requires access to physical hardware or restricted networks.
The data audit is a fixed fee of £2,400. After that, projects range from £15,000 for a straightforward predictive model to £80,000+ for a multi-model system with edge deployment. We quote per project, not per hour, so the price you agree to is the price you pay.
Every line of code and every trained weight file belongs to you once the final invoice is paid. We use open-source frameworks (PyTorch, scikit-learn, Hugging Face Transformers) so you are never locked into a proprietary platform.
Drift happens. That is why we ship retraining scripts and monitoring dashboards with every deployment. If you prefer not to manage retraining internally, our MLOps retainer covers automated drift detection, scheduled retraining and quarterly performance reviews for a flat monthly fee.
Describe what you are trying to predict, classify or automate. We will reply within one working day with an honest assessment of feasibility.
Address:
7 Bode Walk, Mante-upon-Bednar, Wales, HQ6 9HK, United Kingdom
Phone:
+44 334 554 9049
Email:
[email protected]