Private AI for robotics companies.

Investigate perception and planning failures in a controlled environment

Compare perception outputs, classify failure modes and run approved non-operational scenarios.

Inputs: Authorised sensor recordings, simulation scenes, test logs and development revisions.

From observation to completed task

Generate reproducible test cases and prepare engineering changes for review.

Organise a customer-project review around approved engineering records

The supporting records include approved requirements, test summaries and project notes.

Qualified engineers validate safety and performance claims.

The systems involved

Simulation and development interfaces isolated from production machine control.

SOS AI configures the local models and tool permissions for this workflow. Actions in business software follow the authority you approve; uncertain cases and actions outside those limits go to the responsible person.

What a useful result must get right

Engineers validate physical behaviour and safety; no unapproved live autonomy or weapons functionality.