Computer vision
development
Software that extracts decisions from images and video — measured on your own data, with an error rate agreed before the build.
What we build
Four areas where this work is won or lost.
Inspection and defects
Spotting damage, missing parts and variance on a line or in a photo, with confidence scores and a review queue.
Recognition and counting
Plates, labels, objects and people counted or identified, with privacy and retention rules decided up front.
Document and ID checks
Reading and verifying documents and photos where onboarding or compliance depends on them.
Edge and real time
Models sized for the device or camera they run on, because latency and bandwidth are part of the spec.
How we work
A short loop with a written result at every step.
Define the decision
What action the output drives and what a wrong answer costs. That sets the acceptable error rate before any model is chosen.
Prove on your images
Off-the-shelf versus trained, compared on a sample of your own data rather than a public benchmark.
Deploy and monitor
Drift watched in production and uncertain cases routed to a person, so quality does not decay silently.
Stack
Chosen for your product, not for our habit.
AWSHave images and
a decision to make?
Send a sample and tell us what the output should trigger. We will say whether the error rate you need is realistic.
