Machinery
IoT sensor platforms, predictive maintenance, and dealer integration infrastructure built for machinery manufacturers on AWS.
Machinery manufacturers are transforming from product companies into service-oriented businesses — connecting equipment to cloud platforms, predicting maintenance needs, and delivering data-driven services to customers. Cloud Life Consulting builds the AWS infrastructure to make connected machinery and intelligent service delivery a reality.
By the numbers
Real-time
Machine sensor data from connected equipment connectable to AWS IoT Core for predictive analytics
40%
Reduction in unplanned equipment downtime after implementing predictive maintenance on AWS SageMaker
99.9%
Uptime for dealer portals and equipment management systems on AWS high-availability infrastructure
What we build for you
Connected equipment data pipelines using AWS IoT Core and Greengrass for real-time sensor telemetry
Predictive maintenance analytics using Amazon SageMaker trained on equipment failure and sensor history data
Dealer and service network portals with multi-tenant architecture and parts management on AWS
ERP integrations connecting SAP, Oracle, and IFS to AWS equipment data and service platforms
Generative AI on AWS
Cloud Life helps machinery manufacturers deploy Amazon SageMaker and Bedrock for predictive failure modeling, automated service scheduling, and intelligent parts inventory optimization.
Cloud Life builds AWS infrastructure for machinery manufacturers connecting equipment to cloud platforms and delivering data-driven service capabilities.
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