Reason-coded stops so every loss has an owner and a path to close.
Illustrative sceneMetron · Industrial AI OS
Turn production losses into measurable action
Track output, downtime, OEE, quality, and energy from one trusted production record. Give operators and managers the context to fix losses during the shift — not after the monthly report.
- Success partner
- OPC UA
- MQTT
- ISA-95
- Azure-first
- IEC 62443
Operational improvement loop
From machine signal to corrective action
Capture what happened, explain the loss, assign the response, and verify the result on one operational record.
Illustrative demo scenario — values are not a live plant feed and do not auto-update.
Capture run, stop, speed, count, and quality signals at the source.
OPC UA tags streaming
PCS
7,800
Cycle
3.8s
Capture run, stop, speed, count, and quality signals at the source.
How Metron Edge works
Connect plant signals through a trusted edge gateway.
Keep your PLC and machine controls. Metron Edge collects approved signals, buffers securely at the site, and streams durable events into the Industrial Core — without inventing tags or exposing the plant network.
METRON EDGE GATEWAYGATEWAY 1.0
Collect approved run, stop, speed, count, and quality signals from your existing PLC and sensors through OPC UA — without replacing controls.
Illustrative demo device — not a live plant feed. Tag maps stay site-approved.
Platform outcomes
Run the factory on clear signals.
Downtime down, OEE factors clear, operators aligned, and critical AI actions governed — one Industrial AI OS.

Availability, Performance, and Quality as it happens — not a weekly spreadsheet.
A × P × Q
Core, twin, and HITL agents share the same production events — OPC UA in, MQTT out.
Large targets, clear stop reasons, and few taps — tablet-first floor UX.
Edge gateway to Timescale without spreadsheet babysitting — accurate, continuous, auditable.
How teams use Metron
From shift floor to executive clarity.
Select a capability. See how supervisors, operators, and plant leaders work from the same Industrial AI OS.
PCS
8 075
OEE
81%
Improvement workflow
Measure the loss. Close the action.
Signal → production event → loss context → approved response → verified result.
Illustrative sceneEngage operators
Large targets, clear stop reasons, and few taps — tablet-first floor UX.
- One production record
- Clear owner for every action
- A result that can be verified
Operating workflow
See one production event from floor to management
Review the same event through operator, supervisor, engineering, and management views.
Illustrative demo scenario — values and surfaces are static examples, not a live plant feed or customer result.
Supervisors see plan versus actual, OEE factors, active stops, and accountable follow-up in one view.
Built for dependable plant operations
A production system is only useful when its data is reliable, its actions are traceable, and its integrations respect the plant.
- OPC UACollect approved machine signals through a standard industrial interface.
- MQTTMove production events reliably from edge to platform.
- ISA-95Keep site, line, cell, machine, and enterprise context aligned.
- IEC 62443Separate OT and IT responsibilities with least-privilege access.
- TimescaleDBPreserve high-frequency production history for analysis and audit.
- Azure-firstSupport enterprise deployment and regional data-residency requirements.
Controlled operational actions
The platform can prepare recommendations and workflows. People approve changes that affect plant operations.
One production record
Machine signals, shift context, orders, and loss reasons remain aligned across every operational view.
Scale without rebuilding
Add lines, sites, and operational modules on a shared industrial data foundation.
Read security posture →Review your factory improvement case
Bring one production line, its current data sources, and a priority loss. We will map the measurement, workflow, and proof of value.