Turn shop floor signals into coordinated enterprise action
Give operators, engineers, and AI agents one shared view of
what happened, why it matters, and who acts next
Take a modern approach to smart manufacturing and quality management
Your plant does not have a detection problem. The sensor flags the anomaly. The MES logs the deviation. The quality system captures it. That part works.
What takes days is everything after. Someone reconciles data across MES, QMS, ERP, and PLM to find the cause. Someone else works out how far it spread. Someone else decides who needs to know.
The signal was instant. The response was not, and that is where the money goes. The longer that gap stays open, the more these costs compound.
The lag has a price
Unplanned downtime costs the world’s 500 largest companies $1.4 trillion a year, or 11% of revenue. (Siemens)
AI that cannot reach your context
Through 2026, organizations will abandon 60% of AI projects that are not supported by AI-ready data. (Gartner)
AI that nobody approved
Shadow AI was a factor in 20% of breaches, adding $670k to the average cost. (IBM)
Adapt and extend your core systems without disrupting operations
MES, QMS, and ERP were each built to run one domain well. None of them was built to connect a deviation on Line 4 to a supplier commitment, a customer delivery, and a cost accrual.
Mendix layers on top. Connect operational data where it already lives, build the applications and agents that act on it, and leave your systems of record running.
Shared operational context
Connect MES, QMS, ERP, and historian data into one ontology. No migration. No complex data lake project.
Governed AI
Every model output, agent action, and human approval is traceable, auditable, and inside policy.
Coordinated response
One signal triggers one workflow across quality, production, and supply chain.
“With this system, we are ready for the agentic future.”
Aristóteles Terceiro Neto
Industrial Transformation Manager, Vivix
How Mendix supports manufacturing and quality management
Create software that connects operational data, human judgment, and AI into one governed response. Mendix gives your teams the context to decide and the execution layer to act on it.
Operational command center
- Bring MES, QMS, ERP, and historian data into one live view.
- Give production, quality, and maintenance their own functional views.
- Drill from a KPI to the work order behind it, then act without leaving the screen.
Quality investigation and root cause analysis
- Trace a deviation across product, batch, supplier, and process data.
- Separate a systemic defect from an isolated incident before complaint volume confirms it.
- Quantify the blast radius: which units are at risk, where they are, and what it costs.
Governed AI on the shop floor
- Build predictive models on your own production data.
- Log every model output, agent action, and human approval.
- Keep AI inside policy.
Role-based experiences for frontline workers
- Deliver applications built for operators, inspectors, and supervisors.
- Connect client-side peripherals, such as scanners and smartcard readers, at the workstation.
- Scale working apps across sites with reusable templates.
Customer stories
Resources
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Opcenter & Mendix
Make the most of your Opcenter manufacturing execution system (MES) data with Mendix. Get the agility, visibility, resiliency, and traceability your shop floor needs.
Intelligence Center X Closes the AI Value Gap in Industrial
Mendix is proud to announce that our low-code platform is now a part of Intelligence Center X, Siemens’ agentic enterprise system that turns industrial…
Frequently Asked Questions
What is smart manufacturing?
Smart manufacturing is an approach to production that connects data, processes, and people so decisions are made on current, complete information rather than on whatever a team can reconcile by hand. It draws on industrial IoT, AI and machine learning, analytics, and automation.
The technologies are now widely deployed. What separates plants that get value from the ones that do not is whether an operational signal can reach the people and systems that act on it. Detection is largely solved. Coordinated response is where the gains still sit.
Can Mendix integrate with existing MES, ERP, PLM, and QMS systems without major disruption?
Yes. Mendix adapts and extends your existing systems rather than replacing them.
With pre-built connectors, APIs, and low-code integration, Mendix connects to MES, ERP, PLM, and QMS platforms, including Opcenter and Teamcenter. You build applications that bridge silos and improve visibility without a rip-and-replace program, which means faster time to value and less IT overhead.
Why do AI pilots stall on the shop floor?
Usually because the model has no context, not because the model is wrong.
An anomaly detection model that sees only machine telemetry can tell you a reading is out of range. It cannot tell you which orders are affected, which supplier lot is implicated, or what the deviation costs, because none of that lives in its training data. Connecting production, quality, supplier, and financial data into a shared ontology gives models and agents something to reason across. That is the difference between an alert and an answer.
Does Mendix meet manufacturing security and compliance requirements?
Yes. Mendix follows enterprise-grade security practices aligned to manufacturing requirements.
Role-based access controls, single sign-on, and audit trails are built in, and every model inference, agent decision, and human approval is logged and traceable. Mendix deploys to public cloud, private cloud, and air-gapped shop-floor environments. For regulated manufacturers, that means AI and automation that hold up under audit rather than governance added after the fact.