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AMAI Twin

A digital twin for analysis, optimization and forecasting

A virtual model of your equipment and processes, kept in sync with plant sensors and real production.

System description

AMAI Twin is a virtual model of your equipment and process, kept in sync with plant sensors. It lets you analyze efficiency in real time, spot bottlenecks, and forecast faults well before they happen.

The platform does more than mirror sensor readings, it predicts how changes to equipment or raw material parameters will affect output and quality. That opens the door to safely testing scenarios, optimizing, and rolling out new technology faster.

Synced with real productionThe virtual twin updates continuously and mirrors every change on the equipment
AI analytics and modelingSimulating faults and hazardous scenarios to train ML models
Process visualizationAll production data in one 3D interface

Rollout steps

1

Analysis and data collection

Studying the process and building digital models

2

Equipment integration

Collecting sensor signals and setting up end-to-end IoT connectivity

3

Modeling and training

Validating models against historical and live data

4

Launch and operation

The digital twin supports day-to-day management, analysis and the plant's development

What the system does

The platform scales to any scenario and to your plant's needs.

Process optimization

  • Bottleneck analysis
  • Testing different scenarios (raw materials, operating modes)
  • Optimizing equipment load
  • Data visualization for management

Predictive maintenance

  • Failure and risk forecasting
  • Service work planning
  • Fewer unplanned stops
  • Safer operation

Security and integration

  • Tracking process settings
  • Integration with corporate ERP and SCADA
  • Scales to the plant's needs
  • API for exchanging data with external systems

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