relayr Analytics: Anomaly Detection and Predictive Maintenance

Stop problems before they start

Real-time, self-learning AI at scale, purpose built for Industrial IoT

relayr Analytics is tailored for industrial use cases. It uses AI to deliver actionable insights where traditional anomaly detection software falls short. It also enables predictive maintenance.

Traditional rules-based anomaly detection produces a flood of alerts and false positives, making it ineffective when applied to the high data throughput of Industry 4.0

relayr iot analytics

relayr Analytics with Anomaly Detection enables Predictive Maintenance in Manufacturing to:

MINIMIZE MACHINE
DOWNTIME

BETTER ALLOCATE
HUMAN RESOURCES

OPTIMIZE
SPARE PARTS HANDLING

INCREASE
EQUIPMENT LIFETIME

relayr Analytics overview

relayr Analytics sample use cases:

PRODUCTION PLANNING OPTIMIZATION

Production Planning Optimization is the science of finding and reducing inefficiencies in a production line enabling both people and machines to increase production and at a lower cost.

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predictive mainetenance

PREDICTIVE MAINTENANCE

Predictive Maintenance describes a set of techniques that proactively monitor the condition of in-service equipment in order to perform “just-in-time” maintenance. Unlike regularly scheduled preventative maintenance, Predictive Maintenance enables the servicing of equipment only when warranted, allowing the organisation to reduce machine downtime, better allocate human resources, and increase equipment lifetime.

Want to know more about relayr Analytics?

Fill out the form below to download Solution Overview or contact us at sales@relayr.io

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