Private AI for robotics.

Test perception and behaviour before changing the machine

A perception error and a planning error can look similar in a robot's failed task.

KOVA can be configured to work with these inputs: authorised camera captures, robot logs, simulation scenes and test results.

What the AI looks for

Classify failure modes, compare perception outputs and run scenarios in a controlled simulator.

What happens next

Prepare a reproducible test case and propose code changes for engineering review.

What SOS AI connects and configures

Robot-development interfaces, simulation tools and isolated test environments.

KOVA runs the selected models locally. SOS AI combines the required model software, data connections and approved application tools around the job. Cameras, sensors, telephony and specialist applications are integrated where the workflow calls for them; they are not assumed to be present in every installation.

How to judge the result

Independent safety systems remain in place; validate physical behaviour before any production release.