Private AI for drone manufacturers.

Catch a developing fault before it becomes a stoppage

Compare each asset with its own operating baseline, detect drift and relate quality defects to process conditions.

Inputs: Time-stamped vibration, temperature and current readings; inspection images; operating loads; maintenance and production histories.

From observation to completed task

Raise a maintenance work order with the evidence, suggest an inspection window and route suspect products for review.

Draft an authorised product-document review

The supporting records include requirements, approved test summaries and design-review notes.

Engineers verify safety and permitted product use.

The systems involved

Sensor or historian feeds, inspection cameras, asset identifiers and a maintenance-system connector; predictive models need suitable history.

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

Measure useful warning time, missed faults and nuisance alerts; independent safety controls remain authoritative.