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Simplifying Industrial Analytics
Through IT/OT Convergence

AMSHOS enables Plant Managers and industrial Data Scientists to implement real-time IIoT solutions for optimizing the production line.

AMSHOS Product Suite

Empower your team to visualize complex data and make correct, data-driven decisions in real-time. Our comprehensive suite monitors critical areas including energy consumption, sensor health, and process stability.

Energy Monitoring

Gain granular visibility into energy usage across your facility. Identify inefficiencies, track consumption trends, and optimize costs with intuitive dashboards.

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Sensor & Asset Health

Monitor critical sensor data in real-time. Predict equipment failures before they occur by tracking vibration, temperature, and other key performance indicators.

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Process Anomalies

Detect deviations in your production process instantly. Correlate multi-variate data to ensure consistent product quality and reduce waste.

Unified Visualization Platform

Transform raw sensor data into actionable insights. Our centralized dashboard brings together energy metrics, machine status, and production KPIs into a single, easy-to-understand view.

  • Real-time Data Streaming
  • Interactive Charts & Graphs
  • Customizable Alerts
AMSHOS Dashboard

What is Industrial Analytics?

The core competency behind Industry 4.0

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Ingest, Combine & Visualize All Plant Data

Think beyond process historians. Collect asset and process data into a central data store. Combine it with production data to visualize the complete picture.

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Predict & Optimize Plant Operations Using ML-Aided Apps

  • Optimize energy consumption using product benchmarks
  • Drive equipment availability through online condition monitoring
  • Achieve process stability by proactively detecting anomalies
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Build Custom Solutions Specific To Your Process

  • Build & deploy a Predictive Quality model that can catch defects upfront
  • Configure advanced monitoring dashboards and alarms
"One-third of IoT solutions will be abandoned before deployment due to lack of data management and analytics capabilities adapted for IoT."
- Gartner, How IoT Impacts Data and Analytics

Industrial Analytics for Business Transformation

Full Visibility

By combining process, asset and production data

Lower Costs

Up to 40% through data-driven optimization

Increased Quality

Using process monitoring and predictive quality models

Discover Growth

Explore future revenue growth and new business models

Customer Satisfaction

Through improved product traceability and new service models

Increased Safety

Driven by real-time monitoring and alerting

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