CASE STUDY


The Future of Fab Construction

Intel uses Buildots' AI to boost efficiency and reduce costs

Intel’s multi-fab construction initiative is one of the industry’s most complex construction projects. Each fab alone includes thousands of activities and multiple trades that must be tracked in detail. 

To manage the sheer scale of each project, prevent delays, and ensure quality, Intel implemented Buildots’ AI-powered progress tracking platform. The results? Less rework, improved project management processes and streamlined workflows. 

Dan Doron

Using AI to solve fab construction challenges

Intel implemented Buildots’ advanced AI technology to automate progress tracking and achieve three main objectives:

Delay prevention

Using Buildots’ predictive analytics, Intel can identify potential delays based on trade performance and pace, enabling proactive and efficient mitigation planning.

Execution control 

Buildots enables Intel to spot deviations and flag issues before they escalate.

Optimization across projects

Intel uses data from multiple fab projects to optimize future workflows and processes, and establish benchmarks for ongoing improvement. 

Asaf Harel
intel logo

Intel, one of the world’s largest and most influential technology companies, is building multiple semiconductor fabrication plants (fabs) across the US and EMEA. This initiative forms part of Intel’s ‘Foundry’ business model, which will be core to its growth over the next decade. In its quest to manage the scale and complexity of these construction projects, Intel has embraced construction digitization, unlocking true data-driven decision-making. 

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4.3% saved in rework

costs per fab by promptly detecting and addressing errors through automatic detection.
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4 weeks of delays

avoided per fab by identifying issues early, significantly enhancing project timelines.
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1,176 model updates

and changes per fab, ensuring construction models remain accurate and reliable, leading to more efficient project execution.

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