Private AI for autonomous-driving 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.

Document an evaluation-review agenda from approved records

The supporting records include authorised test summaries, requirements and safety documents.

Engineers validate behaviour; no autonomous driving control is proposed.

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.