We build predictive models, natural-language pipelines and computer-vision systems for mid-size UK companies. Each project ships with documented code, a monitoring dashboard and a three-month support window.
Three practice areas, each staffed by engineers who have shipped production models before.
We take your historical transaction, sensor or CRM data and train regression and classification models that forecast demand, flag churn risk or estimate maintenance windows. Typical turnaround for a first prototype is four weeks from data handover. You receive the trained model, a REST API wrapper and a Grafana dashboard so your ops team can monitor drift without calling us.
From customer-support ticket classifiers to document summarisation engines, we fine-tune transformer models on your domain vocabulary. One logistics client reduced manual ticket sorting from 14 hours a week to under two. We handle annotation, training, evaluation and deployment into your existing stack, whether that is AWS, Azure or on-premise GPU servers.
Quality-control cameras on a production line, aerial crop inspection from drone footage, parking-space occupancy detection: these are the kinds of projects we take on. We use convolutional and vision-transformer architectures, deliver containerised inference services and provide retraining scripts so your team can update the model as conditions change.
Measured across completed engagements, not marketing slides.
Describe the problem you want to solve. We will reply within two working days with an honest assessment of whether AI is the right tool for it.
Address:
541 Uriah Paddock, Keelingbury, England, QE84 5XB, United Kingdom
Phone:
+44 843 128 4082
Email:
[email protected]
