Service details
What each offering includes, who it is for, and what you walk away with.
Predictive analytics
We build regression and classification models that turn your historical data into forward-looking decisions. The most common applications we deliver are demand forecasting for retail and wholesale, customer churn prediction for subscription businesses, and equipment failure prediction for manufacturing and logistics.
A typical engagement starts with a data audit. We review what you have, identify gaps, and agree on the target variable and success metric. Then we train several candidate models, benchmark them against each other, and select the one that balances accuracy with interpretability. You receive a dashboard that shows predictions, confidence intervals, and the features driving each prediction.
- Supported data: CSV, Excel, SQL databases, API feeds
- Model types: gradient-boosted trees, linear models, time-series (Prophet, ARIMA)
- Delivery: REST API endpoint plus a monitoring dashboard
- Timeline: 3 to 5 weeks for prototype, 2 to 3 weeks for production
Computer vision
If your problem involves looking at images or video and making a decision, this is the service. We fine-tune convolutional neural networks and, where appropriate, vision transformers on your own labelled images. Common use cases include quality inspection on production lines, object counting in warehouses, and document digitisation.
We handle the full pipeline: image collection guidance, annotation tooling setup, model training, and deployment. For real-time applications we optimise models with TensorRT or ONNX Runtime so inference stays below 80 milliseconds on standard GPU hardware. For edge deployments we can target NVIDIA Jetson or Intel NCS devices.
- Minimum data: roughly 500 labelled images per class (we can augment smaller sets)
- Output formats: bounding boxes, segmentation masks, classification labels
- Deployment options: cloud API, on-premise Docker, edge device
- Timeline: 4 to 6 weeks depending on annotation effort
Natural language processing
Text is everywhere in business: support tickets, contracts, survey responses, emails. Our NLP service turns unstructured text into structured, actionable data. We fine-tune transformer models (BERT, RoBERTa, or domain-specific variants) on your corpus so the system understands your terminology rather than generic English.
Frequent deliverables include ticket classification systems that route incoming requests to the right team, sentiment-analysis pipelines for customer feedback, and entity-extraction tools that pull dates, amounts, and clause types out of legal documents. One insurance client uses our extraction model to process 800 claim forms per day, cutting manual review time by about 70%.
- Languages: English, with limited support for Welsh and Irish Gaelic
- Input: plain text, PDF, DOCX, HTML
- Output: labels, extracted entities, sentiment scores
- Timeline: 3 to 5 weeks
AI strategy consulting
Not every company needs a custom model right away. Sometimes the first step is figuring out where AI can actually help and where it cannot. Our consulting service gives you a clear, jargon-free assessment of your data readiness, a prioritised list of use cases ranked by expected ROI and feasibility, and a roadmap with realistic timelines and budgets.
We spend two to three days on-site (or remotely) interviewing stakeholders, reviewing data sources, and mapping existing workflows. The output is a written report, typically 15 to 25 pages, plus a presentation for your leadership team. If you decide to proceed with a build, the consulting fee is credited against the first project.
- Includes: stakeholder interviews, data-readiness audit, use-case scoring matrix
- Deliverable: written report plus executive presentation
- Duration: 1 to 2 weeks
- Fee: credited against subsequent build engagements
How we work
Every project follows the same four-step process.
Scope
We define the problem, agree on a success metric, and estimate the data requirements. This step takes one to three days and costs nothing.
Prototype
We build a working model on a representative data sample and measure it against the agreed metric. You see real numbers, not slide decks.
Deploy
The model goes into production with API integration, monitoring, and alerting. We handle infrastructure setup and load testing.
Monitor and improve
Models drift over time as data changes. We track performance weekly and retrain when accuracy drops below the agreed threshold.
Indicative pricing
Final quotes depend on scope, but these ranges cover most projects we take on.
Strategy consulting
Data-readiness audit
Use-case prioritisation
Executive report
Fee credited to builds
Prototype build
Working model on your data
Accuracy benchmarks
No-hit, no-fee guarantee
3 to 5 week delivery
Ongoing support
Weekly performance monitoring
Scheduled retraining
Priority bug fixes
Quarterly review calls
Ready to talk?
Reach out by phone, email, or the contact form on our home page. We reply within one working day.
Phone: +44 131 056 4068
Email: [email protected]
Address: 18 Jazlyn Brae, Old Hageneshill, Northern Ireland, MR67 7EG, United Kingdom