Computer vision turns images and video into structured data: detecting and counting objects, reading labels, spotting defects and tracking movement. We train and deploy models with PyTorch, YOLO and OpenCV, running in the cloud or on edge devices, and measure accuracy on your own footage.
Detect what matters.
A sample frame with objects detected and labelled in real time.
Built to hold up.
Detection and tracking
Find and follow people, vehicles, products and equipment in live or recorded video.
Visual inspection
Spot defects, missing parts or safety issues on production lines.
Custom model training
Dataset labelling, training and evaluation on your own images.
Edge deployment
Optimised models on NVIDIA Jetson, mobile and embedded hardware for low-latency use.
Questions we often get.
Often a few hundred well-labelled images per class are enough to start. We assess your data first and tell you honestly.
Have something that should run itself?
Tell us what is slowing your team down. We will come back within one working day with an honest view on whether it is worth building and what it would take.