TREASURY at a glance

The TREASURY project focuses on leveraging AI and data-driven methods to enable smarter semiconductor manufacturing, reducing requirements for major new investments or replacement of legacy equipment. It brings together fabs, equipment makers, research institutes and service providers to develop a reference framework which connects and utilizes equipment and process data for control, digital twinning, and AI analytics. The impact of TREASURY lies in its contribution to the global competitiveness of European semiconductor manufacturing, helping the sector fulfill the market demand gap by 2030.

Objectives

Develop a reference framework to manage the heterogeneous data and model sources

Develop new sensing methods and tools, virtual metrology applications and hybrid
physics-informed models for key semiconductor manufacturing processes

Develop generative and agentic AI tools and digital twins, demonstrate and validate
them on semiconductor processes, equipment maintenance and manufacturing use cases.

Develop decision support systems and AI-based tools for workforce AI-augmentation to
increase worker productivity, automate repetitive tasks.

Develop solutions for real-time dynamic production planning based on recipe builders,
fab analytics, fab digital twins, process mining, with integrated sustainability measures

Demonstration and validation of TREASURY building blocks and applications within
the fab and equipment manufacturer environments.

Maximise the project impact and outreach to foster valorisation of the TREASURY
framework

Work Packages

Partners

News & Events

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