Validated Before Scaled
In regulated plants, trust is earned through qualification protocols, audit trails and traceability before a pilot touches live production.
A hands-on consulting practice that helps plant and IT/OT leadership design and deploy secure AI across production, quality and maintenance, from feasibility study to full rollout.

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.
A working pilot on your line within 4–8 weeks, validated against the agreed metrics with a measurable business case.
Roll out across lines and plants with qualification protocols, audit trails and change-control governance.
In regulated plants, trust is earned through qualification protocols, audit trails and traceability before a pilot touches live production.
We prioritize working pilots on the actual line, with measurable OEE, quality and downtime impact, over strategy decks.
We embed with plant IT/OT and quality teams, transfer capability and build long-term delivery discipline, not dependency.
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.
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.
AI that runs within your firewall, with your total control. On-premise or private cloud is your call, and we engineer for either.
Inference next to the camera or sensor, for sub-second decisions at the station.
On-premiseOne compact node per line, running inspection, counting and monitoring together.
On-premiseCentral models, dashboards and the copilot, inside your own network and under your own IT policies.
On-premiseYour own cloud tenancy, inside your security perimeter, when that suits your IT strategy better.
Private cloudWe engineer privacy into the foundation, not as a feature. Where your data lives is always your decision.
Model accountability, cybersecurity and change-control governance are built into every deployment, audit-ready by design.
We engineer for edge hardware and private infrastructure because that is where production happens.
P-01·Computer vision
AI Visual Inspection
Reduced escaped-defect rate and less end-of-line manual sampling
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P-02·Computer vision
Packaging & Bin-Count Verification
Miscounts caught at the packing station in seconds, not at the customer dock
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P-03·Predictive ML
Predictive Maintenance
Fewer unplanned stoppages on critical lines and utilities
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P-04·Agentic / copilot
Production Planning
Improved on-time delivery against customer commitments
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P-05·Agentic / copilot
Real-Time Shop-Floor Monitoring
Slowdowns caught within the hour, not at shift-end
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P-06·Predictive ML
Brazing Furnace Optimization
Reduced scrap and rework from weak or over-brazed joints
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