Edge gateways
Inference next to the camera or sensor, for sub-second decisions at the station.
On-premise
AI-Enabled Production Systems
Sub-second inference at the line
Human-in-the-loop review queue
On-prem or private cloud, your call
Run production AI on your own floor.
Computer-vision inspection, predictive maintenance and monitoring, engineered for the shop floor and integrated with the PLCs, SCADA and MES/ERP systems you already run.
100%
Data residency under your control: on-premise or private cloud
4–8 wks
From scoping to a working pilot on one line
4
Deployment targets: edge, line-side, plant server, private cloud
Capabilities
Five systems. One private stack.
P-01·Computer vision
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.
- Reduced escaped-defect rate and less end-of-line manual sampling
- Audit-ready defect trail suitable for GMP and OEM reviews
P-03·Predictive ML
Predictive Maintenance
Vibration, temperature, current and pressure data streamed to on-premise ML models trained on asset-specific failure signatures, with remaining-useful-life alerts and CMMS/EAM work-order integration.
- Fewer unplanned stoppages on critical lines and utilities
- Shift from calendar-based to condition-based maintenance
P-05·Agentic / copilot
Real-Time Shop-Floor Monitoring
Real-time OEE, throughput and quality dashboards built on your existing SCADA/MES data and deployed on-premise, with an AI copilot that flags anomalies as they emerge and Andon-style escalation.
- Slowdowns caught within the hour, not at shift-end
- Single real-time view of OEE across lines and shifts
P-02·Computer vision
Packaging & Bin-Count Verification
Vision-based AI counts each piece as it is placed and checks the final count against target before a container is sealed, with an auditable photo record and a logged override for exceptions.
- Miscounts caught at the packing station in seconds, not at the customer dock
- Photo-backed proof of what shipped, with no added paperwork
P-06·Predictive ML
Brazing Furnace Optimization
ML models trained on furnace zone temperatures, belt speed and atmosphere against downstream leak-test results, recommending parameter adjustments to hold the optimal thermal profile as load and product mix vary.
- Reduced scrap and rework from weak or over-brazed joints
- Lower energy per unit through tighter thermal-profile control
Architecture
Everything runs inside your firewall.
Cameras and sensors feed edge gateways or line-side compute. Models, the copilot and the audit log live on your plant server or in your private cloud. Alerts and work orders flow back into the systems you already run.
Your firewall · on-premise or private cloud, your decision
Sources
Cameras
Sensors
Edge
Edge gateway / line-side compute
Your plant server or private cloud
Models · copilot · audit log
Alerts, work orders & schedules back to
PLCSCADAMESERPCMMS / EAM
Public AI services: nothing crosses this line. No server-side logging of proprietary parameters, no training on your production data, no third-party broker in the pipeline.
Data residency
Deployed where you decide.
AI that runs within your firewall, with your total control. On-premise or private cloud is your call, and we engineer for either.
Line-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 cloudTrust by design
Validated before scaled.
Human-in-the-loop review
Operators confirm or override AI decisions from a review queue. Every override is logged.
Audit-ready trail
Defect, count and maintenance records suitable for GMP and OEM reviews.
Change-control governance
Model accountability, cybersecurity and change control are built into every deployment from day one.
Programs
Programs in this solution.
P-01·Computer vision
AI Visual Inspection
Reduced escaped-defect rate and less end-of-line manual sampling
View program
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
P-06·Predictive ML
Brazing Furnace Optimization
Reduced scrap and rework from weak or over-brazed joints
View program
Other solutions