Most computer vision demos work on clean sample images. The hard part is your lighting, your camera angles and your messy scans.
Tell us what you want to build. A senior engineer sends back a scope and a fixed price within two business days, no obligation.
In short
What we build
Spotting defects, missing parts or wrong labels on a production line, flagging items for a person to check rather than silently rejecting them.
Reading invoices, forms, labels and handwritten fields, combined with validation rules so mistakes are caught.
Counting stock, vehicles or people in a zone, and tracking movement across frames.
Models optimised to run on local hardware when the network is unreliable or images cannot leave the site.
Fit
Process
Samples from your actual cameras or scanners, including the bad ones.
A labelling plan focused on the hard cases, not thousands of easy ones.
Testing under your lighting and angles before anyone promises an accuracy figure.
Low-confidence results go to a person, and their corrections feed the next training round.
Pitfalls
We have seen these enough times to plan around them from the start.
Next step
Want to see similar work? Browse our case studies or tell us what you are working on.
FAQ
It depends on the task. Pretrained and vision-language models mean you often need far fewer than people expect, but you do need examples of the hard and rare cases.
Yes. We optimise models to run on edge devices or local servers.
Often, yes, especially for structured fields. We test on your real documents before committing to an accuracy target.
It routes the item to a person. Those decisions are logged and used to improve the model.
Keep reading
Indicative ranges only get you so far. Tell us the specifics and get a scope and a fixed price in two business days.