Reduced escaped-defect rate and less end-of-line manual sampling
AI Visual Inspection
Edge-deployed computer vision trained on line-specific defect libraries (surface, dimensional, print and assembly-completeness), with sub-second inference and a human-in-the-loop review queue.
Outcomes
What changes on your line.
Audit-ready defect trail suitable for GMP and OEM reviews
Integrations
What it connects to.
Line & IP cameras
Edge gateways
MES
Review queue for operators
Data residency
Your data, your residency.
AI that runs within your firewall, with your total control. On-premise or private cloud is your call, and we engineer for either.
Edge gateways
Inference next to the camera or sensor, for sub-second decisions at the station.
On-premiseLine-side compute
One compact node per line, running inspection, counting and monitoring together.
On-premisePrivate plant servers
Central models, dashboards and the copilot, inside your own network and under your own IT policies.
On-premisePrivate cloud
Your own cloud tenancy, inside your security perimeter, when that suits your IT strategy better.
Private cloud
From pilot to production
From scoping call to a working pilot.
01
Assess & Design
A scoping call and a short plant walk-through to pick one line, one asset or one workflow, define success metrics, and confirm data access.
02
Pilot & Validate
A working pilot on your line within 4–8 weeks, validated against the agreed metrics with a measurable business case.
03
Scale & Govern
Roll out across lines and plants with qualification protocols, audit trails and change-control governance.
Related
Related programs.
P-02·Computer vision
Packaging & Bin-Count Verification
Miscounts caught at the packing station in seconds, not at the customer dock
View program
P-03·Predictive ML
Predictive Maintenance
Fewer unplanned stoppages on critical lines and utilities
View program
P-05·Agentic / copilot
Real-Time Shop-Floor Monitoring
Slowdowns caught within the hour, not at shift-end
View program