Computer vision services that scale with your operation

Computer vision services cover the work of getting software to read images and video for a business: defining the task, collecting and labelling data, training or adapting a model, deploying it on edge devices or in the cloud, connecting it to the systems that act on the result, and maintaining it as conditions change.

Both, in that order of emphasis. We advise on whether a vision system is the right tool and which model family fits, but the main deliverable is a working system in production, built and maintained by the same engineers.

Yes. We integrate with most IP cameras, RTSP and ONVIF streams, USB cameras and document scanners, so a project rarely starts with buying new hardware.

Less than most teams expect for a first prototype. Foundation vision models can be tried on a handful of your own images before any data collection is committed. A production model usually needs labelled examples from your real environment, and we build a held-out test set you can audit.

Either. Edge devices such as NVIDIA Jetson or Coral suit low-latency or offline sites. AWS, GCP or Azure suit scale and centralised analytics. The choice follows latency, connectivity and privacy requirements.

A first prototype usually takes about a week. A production deployment typically takes four to eight weeks, depending on data collection, model complexity and the number of devices to provision.

You do. The data, the labels, the trained model and the code are handed over, and the system runs in accounts you control.