Predictive analytics
Demand forecasting, churn prediction and anomaly detection models trained on your historical data. We deliver a containerised API, monitoring dashboard and a retraining pipeline you can run quarterly.
Why most AI projects stall before launch
Roughly seven out of ten AI initiatives inside UK businesses never reach production. The usual culprits: vague objectives, poor data hygiene and vendors who hand off a model without teaching anyone how to maintain it. We fix all three.
The typical experience
A consultancy spends months on a proof of concept. The demo looks impressive. Then it sits on a laptop because nobody planned for integration, retraining schedules or compliance review. Budget spent, value zero.
What we do differently
We scope every engagement around a measurable business metric: cost per claim processed, minutes saved per shift, error rate on quality checks. If the metric does not move, we iterate until it does, or we stop and tell you honestly.
What we build
Six practice areas, each led by engineers who have shipped production systems in that domain.
Natural language processing
Document classification, entity extraction, summarisation and sentiment analysis. We fine-tune open-weight language models so your data never leaves your infrastructure.
Computer vision
Defect detection on production lines, vehicle counting from CCTV, medical image triage. We handle labelling, training and edge deployment on NVIDIA Jetson or equivalent hardware.
Intelligent automation
End-to-end workflow automation that combines OCR, classification and rule engines. Think invoice processing, insurance claim routing or HR onboarding document checks.
Data engineering
Before any model can learn, data has to be clean, joined and versioned. We build ETL pipelines in Airflow or Dagster, set up feature stores and create the lineage tracking your compliance team will thank you for.
AI strategy consulting
Not sure where to start? We run a two-week discovery sprint: audit your data assets, map candidate use cases and rank them by expected ROI. You leave with a roadmap, cost estimates and a vendor-neutral architecture diagram.
From first conversation to production
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Discovery call (30 minutes, no charge)
We listen. You describe the bottleneck, the data you have and the outcome you need. If we think AI is the wrong tool, we say so.
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Data audit and scoping
Our engineers review sample data under NDA, assess quality and volume, and draft a statement of work with fixed milestones. This stage usually takes five to eight working days.
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Prototype build
A working model on a subset of your data, evaluated against the metric we agreed on. You see results within four to six weeks, not four to six months.
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Production deployment
We package the model as a REST API or embed it in your existing application, set up monitoring for data drift and write runbooks for your ops team.
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Ongoing support
Optional retainer covers quarterly retraining, performance reviews and priority bug fixes. Most clients stay on this plan for at least a year.
47
Projects delivered
93%
Models still in production after 12 months
6
Average weeks to first prototype
12
Industries served
Questions we hear often
Discovery sprints start at £4,800. A full prototype-to-production engagement for a single use case usually falls between £25,000 and £70,000, depending on data complexity and integration requirements. We quote fixed-price wherever possible.
Yes, though our core team operates from Wales and we prefer at least one face-to-face workshop during scoping. For international clients we run that workshop over video and adjust meeting times to overlap with your working hours.
That is the norm, not the exception. Our data engineering practice exists precisely for this reason. We clean, join and enrich your datasets before any modelling begins. Sometimes the data audit reveals that the most valuable first step is fixing your collection process rather than building a model.
Absolutely. We deploy to AWS, Azure, GCP or your own servers. For clients in regulated sectors like healthcare or defence, we routinely work within air-gapped environments and can train models on hardware that never touches the public internet.
All model weights, training code and documentation produced during an engagement belong to you. We retain no copies after project close unless you explicitly ask us to maintain the system under a support retainer.
Manufacturing, logistics, insurance, retail, agriculture, energy, local government, legal services, healthcare, fintech, property management and education. The common thread is structured or semi-structured data and a clear operational metric to improve.
Let's talk about your project
Send us a message or call directly. We respond to enquiries within one working day.
Phone: +44 911 712 2347
Email: [email protected]
Address: 833 Leanne Drive, High Fisherton, Wales, KM28 9AD, United Kingdom
