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• Amazon Lookout for Equipment

Amazon Lookout for Equipment

Avoid unplanned downtime by automatically detecting abnormal equipment behavior

End of support notice

On October 7, 2026, AWS will discontinue support for Amazon Lookout for Equipment. After October 7, 2026, you will no longer be able to access the Lookout for Equipment console or resources. For more information, see the following documentation guide.

Why Lookout for Equipment?

Lookout for Equipment automatically analyzes sensor data for your industrial equipment to detect abnormal machine behavior. This allows you to detect equipment anomalies with speed and precision, quickly diagnose issues, and act to avoid unplanned downtime, with no ML experience required.Lookout for Equipment automatically analyzes sensor data for your industrial equipment to detect abnormal machine behavior. This allows you to detect equipment anomalies with speed and precision, quickly diagnose issues, and act to avoid unplanned downtime, with no ML experience required. Play

Benefits

Use data from existing sensors

Use data from existing sensors to create machine learning (ML) models specific to your equipment.

Respond with speed and precision

Respond with speed and precision with automatic equipment monitoring that pinpoints anomalous sensors.

Accelerate issue resolution

Accelerate issue resolution with immediate notifications and automatic actions when anomalies are detected.

Improve model performance and accuracy

Improve model performance and accuracy of alerts by incorporating anomaly trends and feedback.

Use cases

Detect generator shutdowns

Accurately monitor sensor data on flow rates, temperature, pressure, and oxygen levels and get alerts to avoid untimely shutdowns.

Identify abnormal machine behavior

Analyze historical maintenance and sensor data about RPMs, flow rates, temperature, pressure, and vibration to learn trends.

Improve alert accuracy over time

Enhance model performance and alert accuracy by incorporating human feedback on anomalies and learning predicted operational usage trends.

Customers

Koch Ag & Energy Solutions, LLC reduced unplanned downtime

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CEPSA performed large-scale predictive maintenance across industrial sites

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GS EPS builds equipment models with no ML expertise

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