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Partner Spotlight: AIMEN Driving AI Innovation in the ANALYST Project

What if sustainability assessments could become faster, smarter, and more reliable—powered by artificial intelligence?

In the ANALYST project, this vision is being brought to life by AIMEN, a key partner contributing advanced expertise in digital technologies and data-driven innovation. By integrating artificial intelligence into sustainability assessments, AIMEN is helping to transform how materials and chemicals are evaluated across the plastics value chain.

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Turning Data into Insight

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One of the main challenges in implementing the Safe and Sustainable by Design (SSbD) framework is the complexity of data. Assessing materials across health, environmental, social, and economic dimensions requires access to large amounts of structured and reliable information. However, data is often fragmented, inconsistent, or incomplete - making it difficult to perform comprehensive assessments.

To address this challenge, AIMEN is developing an AI-based method designed to retrieve and organise relevant data more efficiently.

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Testing, Learning, and Expanding

The current phase is not just about development—it is about learning. By applying the AI method to real use cases, AIMEN and the consortium can:

• Evaluate how effectively the system retrieves relevant information

• Identify gaps in available data

• Improve the structure and performance of the method

This iterative process is essential for ensuring that the AI solution can later support all dimensions of the SSbD framework.

Mapping Data and Identifying Gaps

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In parallel, the project is working on identifying key data sources across all SSbD dimensions, while also analysing where information is missing or insufficient. This step is critical, as understanding data availability—and its limitations—will directly influence the quality and reliability of future sustainability assessments. By combining AI capabilities with this mapping effort, the project aims to not only retrieve data more efficiently but also detect where knowledge gaps exist.

Supporting Future Tools and Decision-Making

The work led by AIMEN will play a crucial role in the next stages of the ANALYST project.

In the future, the AI-based method will contribute to:

• The development of a comprehensive project database

• The creation of a digital decision-support tool

• More efficient and holistic sustainability assessments across the plastics value chain

These tools will support stakeholders in making better-informed decisions, aligned with the goals of the Safe and Sustainable by Design framework.

Through its work on artificial intelligence and data management, AIMEN is helping to bridge the gap between complex data and practical decision-making—bringing the ANALYST project one step closer to enabling smarter, more sustainable innovation.