Prediction engines
Demand forecasting, churn scoring, pricing models. We train on your historical data and deliver a REST endpoint your existing software can call. One retail client reduced overstock by 23% within three months of going live.
47
Models in production
12
Industries served
99.4%
Average uptime
6 wk
Typical first deploy
What we build
Each project starts from a single question: what decision does your team make repeatedly that data could make faster?
Document processing
Invoices, contracts, medical forms: we extract structured fields from unstructured paper. Our pipeline handles handwritten annotations, stamps, and multi-language PDFs. Average extraction accuracy sits above 96% on messy real-world scans.
Automation pipelines
We connect models to your workflows: incoming email gets classified, a ticket is created, the right team is notified, and a draft reply is queued for review. A logistics firm saved roughly 80 staff-hours a week after we automated their booking confirmations.
On-premise deployment
Sensitive data that cannot leave your network? We containerise models and run them on your own hardware. We support GPU and CPU inference, and every deployment includes monitoring dashboards so your ops team knows exactly what the model is doing.
Data strategy consulting
Before writing any code, we audit what data you collect, how clean it is, and where the gaps are. You get a written report with a prioritised list of AI opportunities ranked by expected return and implementation effort.
How a project moves from brief to production
We work in fixed-scope phases. You approve each phase before the next one starts, so scope and cost stay predictable.
01
Discovery call
45-minute video call. We learn what problem you want solved and whether AI is actually the right tool. Sometimes it isn't, and we will say so.
02
Data audit
We review a sample of your data for volume, quality, and labelling gaps. This usually takes five working days. You receive a feasibility memo.
03
Prototype
A working model trained on your data, tested against a hold-out set, with accuracy metrics you can verify. Two to four weeks depending on complexity.
04
Integration
We wrap the model in an API, write the glue code that connects it to your systems, and deploy to staging. Your team tests with live-ish data.
05
Monitoring
After launch we track prediction drift, latency, and error rates. If the model degrades, we retrain. Support runs month-to-month with no lock-in.
Common questions
Answers to the things clients usually ask during a first conversation.
It depends on the task. A classification model for five categories can work well with a few thousand labelled examples. A demand-forecasting model typically needs two or more years of weekly data to capture seasonality. During the data audit we tell you honestly whether your dataset is large enough, and if it isn't, we outline practical ways to grow it.
Discovery and data audit together run between £2,000 and £4,000. A full prototype-to-production cycle for a single model usually falls in the £15,000 to £45,000 range. We quote a fixed price per phase after the audit, so there are no open-ended hourly bills.
Yes. We deploy to AWS, Azure, and GCP. If you run your own bare-metal servers, we package everything in Docker containers with Kubernetes manifests. The goal is always to use what you already have rather than adding another vendor.
You do. All source code, trained weights, and documentation are yours from the moment you pay the final invoice. We keep no proprietary lock on anything we build for you.
All production deployments include automated drift detection. When accuracy drops below the threshold we agreed on, we receive an alert and schedule a retraining cycle. If you are on a support plan, retraining is included. If not, we quote it as a standalone job.
We sign a data-processing agreement before touching any personal data. Training data can be anonymised or pseudonymised on our side. We also document model decisions so you can respond to subject-access requests that involve automated decision-making under Article 22.
Tell us what you need
Describe the problem in a few sentences. We will reply within one working day with an honest assessment of whether AI can help.
Where to find us
213 Murray Brae, Lower Hoeger, Wales, OQ85 4OJ, United Kingdom
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