Artificial Intelligence services
A closer look at each area we work in, what the deliverables are and how long things typically take.
What we build
Each service starts with your data and ends with a working system your team can operate without us.
Predictive analytics
We take your historical records and build regression or classification models that forecast outcomes you care about: next-month revenue, customer churn probability, equipment failure windows.
Deliverables include a trained model, an API endpoint your systems can call, and a dashboard that updates as new data arrives. Typical turnaround is two to four weeks depending on data volume.
- Demand forecasting for retail and wholesale
- Churn scoring for subscription businesses
- Predictive maintenance for manufacturing lines
- Lead scoring for sales teams
Computer vision
If your problem involves images or video, we can train object-detection, segmentation or classification models. We have deployed these in food manufacturing (spotting packaging defects at 120 items per minute), construction (tracking PPE compliance from CCTV feeds) and agriculture (counting livestock from drone footage).
We handle the full pipeline: image collection strategy, annotation, model training, edge deployment on devices like Nvidia Jetson, and a monitoring layer that flags when accuracy drops.
- Defect detection on production lines
- Document and receipt scanning
- Safety-compliance monitoring
- Aerial image analysis
Natural language processing
We build systems that read, classify and generate text. Common projects include support-ticket routers that tag and prioritise incoming emails, sentiment analysers that scan product reviews across multiple marketplaces, and internal search tools that let employees ask questions of company documents in plain English.
Where a large language model (like GPT-4 or an open-source alternative) is the right fit, we set up retrieval-augmented generation pipelines so the model answers from your data rather than hallucinating. Where a simpler classifier does the job, we use that instead and save you the inference costs.
- Email and ticket classification
- Sentiment and topic analysis
- Internal knowledge-base search
- Automated report generation
Process automation
Not every task needs a neural network. Sometimes the biggest time savings come from connecting the tools you already use: pulling data from an invoice PDF, matching it against your purchase orders, and posting the result to your accounting software.
We combine rule-based logic, OCR and lightweight ML models to automate repetitive admin tasks. A typical project replaces four to eight hours of manual work per day and pays for itself within three months.
- Invoice data extraction and matching
- CRM data enrichment from public sources
- Automated compliance checks
- Scheduled report generation and distribution
Technologies we use
We pick the tool that fits the problem, not the other way around.
Ready to talk about your project?
Book a free 45-minute discovery call and we will map out what AI can realistically do for your business.
Get in touch