Image and video intelligence — inspection, detection, counting and recognition — tuned to your real-world environment. We turn cameras and visual data into something your business can act on, automatically.
A huge amount of useful information arrives as images and video — products on a line, items on a shelf, documents, footage, scans. Computer vision turns that visual stream into structured signals: what's there, where, how many and whether something's wrong. The hard part is making it reliable in the real world, with real lighting, angles and edge cases. That's exactly what we do.
We build vision models around your actual conditions and your actual data, then deploy them where the camera already is — on the line, on the device or in the cloud.
Find, locate and count items, people or defects in images and video.
Spot defects and deviations on the line — faster and more consistently than the eye.
Read text and recognise products, plates or documents where you have the right to.
Turn live or recorded footage into events, alerts and useful metrics.
Run vision where the camera is, for speed and privacy, when the cloud isn't ideal.
GDPR-aware handling of imagery, especially where people are involved.
We define what to detect and what "good enough" accuracy means for you.
We gather and label representative images from your environment.
We build the model and test it against your real-world edge cases.
We put it on the line, the device or the cloud and monitor accuracy.
Not always. We can often start from a modest set and use techniques like augmentation and pre-trained models to get there with much less.
Usually, yes. We design around your current hardware and conditions wherever possible, rather than asking you to rip and replace.
Yes — we can deploy on the edge or on-device for speed and privacy when sending images to the cloud isn't practical or allowed.
We handle imagery with GDPR in mind — minimising, anonymising or processing on-device wherever people are involved.
We agree a target up front and test against your real edge cases, so accuracy is measured on your environment — not a clean demo dataset.
Tell us what you'd like to detect or inspect — we'll tell you what's feasible, in a free consultation.
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