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Manufacturing digital twin software

Connect equipment behavior to the production system.

Bring asset signals, engineering models, and production context into a shared view for reliability and operations.

Connected through the TwinEdge platform
Explain the change behind the trend01 / SYSTEM VIEW
Asset behavior over timeBaselineDeveloping conditionRecovery
01Baseline02Compare03Explain04Prioritize
Compare behavior in context, then follow the finding into a decision.
START WITHSignals + comparable conditions
TWINEDGE CONNECTSExplain the change behind the trend
MOVE FORWARD WITHA finding teams can use
THE WORKFLOW

From line-side measurements to an informed intervention.

Map the operating system

Connect equipment, signals, production states, and engineering relationships.

Explain the behavior

Compare observed performance with the expected operating envelope.

Act with context

Keep the model finding with the maintenance or process action and its result.

BUILT FOR THE OPERATION

What makes the workflow work.

Brownfield OT connectivity

OPC UA, Modbus, MQTT, and historian context through TwinEdge OS and DataOps.

Physics-aware condition

Explain degradation and energy waste with envelopes and models where supported.

Governed AI recommendations

Agents draft actions with approval and evidence.

CMMS and field closeout

Route approved work into AssetOps and TwinEdge Field.

BEFORE YOU START

A few useful answers.

Is TwinEdge a manufacturing MES?

No. TwinEdge is an industrial operating layer for data context, twins, agents, maintenance, and evidence that works with existing MES, SCADA, and ERP systems.

Which assets are common pilots?

Compressors, pumps, chillers, critical rotating equipment, and process cells with usable telemetry.

How does AI stay safe on the plant floor?

Recommendations are approval-first and read-only by default, with audit and replay controls.

START WITH YOUR OPERATION

Put the next decision in motion.

Discuss your sources, assets, and the outcomes your team wants to improve.

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