How it works

A practical six-step path into automated inspection.

InspectionAI gives teams a controlled way to move from sample images and reviewer knowledge into validated, monitored production inspection.

Verified pipelineTrain, validate, deploy, and improve from production feedback.

Production image flowInspection data moves from capture to verified model release

Image captureReviewer QAModel release

01Data intake

Connect existing cameras, scanners, or sensors without replacing proven inspection hardware.

02Ground truth

Human reviewers build governed ground-truth datasets with clear QA controls.

03Model build

Segmentation and detection models learn from your parts, defects, tolerances, and edge cases.

04Quality gate

Benchmark models against held-out defect libraries before they touch production.

05Deployment

Run inspection at the edge, in-line, on-premise, or in the cloud.

06Feedback loop

Track accuracy, drift, throughput, and defect trends as production conditions change.

Pilot-ready

Bring a handful of sample images and we will show what the platform finds.