Most AI projects stall at the proof-of-concept stage. We take yours from messy data to a production system your team uses every day. Based in Birmingham, working across the UK.
Six things we do well. If your problem doesn't fit neatly into one of these, we'll tell you honestly whether we can help or point you to someone who can.
Document classification, entity extraction, sentiment scoring. We fine-tune transformer models on your own corpus so the system understands your industry's jargon from day one. Typical turnaround: four to six weeks for a production-ready API.
Defect detection on production lines, medical image triage, drone-based asset inspection. We handle labelling strategy, model training, and edge deployment. One logistics client reduced manual parcel checks by 73% within three months.
Demand forecasting, churn prediction, predictive maintenance. We connect to your existing data warehouse, build the feature store, and deliver a model that refreshes itself nightly. No black boxes: every prediction comes with an explanation.
Messy CSVs, siloed databases, inconsistent schemas. We build the pipelines that clean, join, and version your data before any model training begins. Without this step, every AI project is built on sand.
Deploying a model is half the job. We set up CI/CD for retraining, drift detection alerts, and A/B testing infrastructure so your model stays accurate as your data changes. We use open-source tooling wherever possible to avoid vendor lock-in.
Not sure where to start? We run a two-day workshop with your leadership and technical teams. You leave with a prioritised backlog of AI opportunities scored by feasibility, impact, and data readiness. No slides full of buzzwords.
Four phases. Each ends with a decision point where you can stop, pivot, or continue.
A 45-minute call with one of our ML engineers. We review your data, define the success metric, and give you a rough timeline. No sales people involved.
We connect to your data sources (usually via a read-only replica) and produce a report covering volume, quality gaps, label availability, and bias risks. This takes five to seven working days.
Iterative training with weekly demos. You see precision, recall, and latency numbers every Friday. We adjust the architecture until the metrics hit the threshold you agreed to in phase one.
We deploy behind your firewall or on your cloud account. Your engineers get full documentation, a runbook, and three months of on-call support included in the project fee.
We can't name every client, but here's what the work looked like.
Cameras at four conveyor junctions feed a YOLOv8 model that flags damaged packaging in real time. Manual inspection dropped from 100% to 27% of parcels. The system paid for itself in eleven weeks.
A fine-tuned BERT classifier reads incoming support tickets and assigns them to the correct team with 94.2% accuracy. Average first-response time fell from 4.1 hours to 47 minutes.
Whether you have a specific AI project in mind or you're still figuring out where machine learning fits in your business, we're happy to have a no-pressure conversation. The first call is free and lasts 45 minutes.
4 Stanton Brae, Birmingham B1 1TF, West Midlands, United Kingdom
