Lifting Semiconductor Manufacturing Intelligence to the Cloud

At a Glance

The Challenge

A semiconductor manufacturer was running their Computer Integrated Manufacturing (CIM) application on ageing on-premises infrastructure. Capacity constraints were limiting the volume of manufacturing data that could be processed and analysed. Remote access for engineering teams across sites was difficult. Upgrade cycles were slow and disruptive — tied to hardware procurement rather than software delivery. As the client sought to improve yield analytics, equipment monitoring, and cross-fab data visibility, the on-premises architecture had become an obstacle to their operational intelligence ambitions.

The Mindteck Approach

• Conducted a cloud readiness assessment for the CIM application — identifying data flows, integration dependencies, compliance requirements, and migration sequencing

• Designed a cloud architecture on a major cloud platform enabling the CIM application to scale dynamically with manufacturing data volumes while meeting semiconductor industry data security requirements

• Executed a phased migration that maintained continuous CIM operations throughout the transition — minimising disruption to manufacturing workflows

• Implemented centralised data management and API layers enabling cross-site data visibility for engineering, operations, and quality teams

• Built monitoring and alerting infrastructure for the cloud-hosted CIM environment, providing real-time visibility into system performance and availability

The Outcome

The client's CIM application moved from capacity-constrained on-premises infrastructure to a scalable cloud environment — enabling the processing and analysis of significantly larger data volumes. Engineering teams across sites gained centralised access to manufacturing intelligence for the first time. Upgrade cycles accelerated: new functionality could be deployed as software updates rather than infrastructure projects. The foundation for more advanced yield analytics, predictive maintenance, and AI-driven process optimisation was established.