We build predictive models, natural-language tools and computer-vision systems for UK companies that need real answers from their data, not a slide deck full of buzzwords.
Every project starts with a question you need answered. Here are the three areas where we spend most of our time.
We train regression and classification models on your historical records so you can forecast demand, flag churn risk or estimate maintenance windows. Most of our clients see a usable prototype within four weeks, built on their own infrastructure or a managed cloud environment.
From document classification to chatbot design, we handle the messy middle ground between raw text and structured data. One recent project automated contract review for a Cardiff law firm, cutting manual reading time by roughly 60 %.
Quality inspection on a production line, vehicle counting from CCTV footage, medical-image triage: if a human can spot it in a photo, we can usually train a model to do the same at scale. We deliver containerised inference endpoints that slot into your existing pipeline.
We are a six-person team based in Wales. Two of us came from academic research (computational linguistics at Swansea, computer vision at Cardiff), and the rest joined from product-engineering roles at mid-size SaaS companies.
That mix matters. It means we know how to write a clean loss function and how to ship something that actually runs in production on a Monday morning. We have been operating since 2021, and every client engagement so far has moved past the pilot stage into live deployment.
We do not take on work we cannot finish. If your problem is better solved with a spreadsheet formula or a well-written SQL query, we will tell you that before you spend anything. Our reputation depends on honest scoping, not on selling GPU hours.
Describe what you are trying to achieve. We will reply within one working day with an honest assessment of whether we can help and a rough idea of cost.
Address:
54 Manuela Meadows, Upper Spinka, Wales, LG6 8BK, United Kingdom
Phone:
+44 7391 184308
Email:
[email protected]