Imagine if you could predict exactly how a new material would affect the planet and people's health before you even made it in a lab. Instead of doing a dozen separate tests that don't talk to each other, this tool connects all the dots in one digital map. It's like having a GPS for product development that warns you about regulatory roadblocks early on.
Companies currently rely on fragmented evidence for chemical safety, performing hazard and economic studies separately. This disconnect slows down innovation and increases the cost of bringing new materials to market.
A digital platform consisting of a data graph, a model graph, and a user interface that connects molecular events to market outcomes.
If you are a tyre manufacturer dealing with the search for sustainable fillers — this project developed a digital mapping system that connects molecular data to environmental outcomes. This helps you choose materials that meet safety rules without wasting years on failed experiments.
If you are a polymer producer dealing with strict aerospace safety standards — this project developed a model graph that links chemical properties to social and economic impacts. This allows you to prove the sustainability of your materials to regulators more quickly.
If you are a materials developer dealing with the high cost of testing new construction chemicals — this project developed a pilot-ready platform that integrates 93 models. This reduces the time you spend on decision-making and improves the reproducibility of your safety tests.
Based on available project data, no pricing or cost structure is mentioned; the project is funded by the EU as a Research and Innovation Action.
The project aims to deliver a pilot-ready platform by the end of 2027, specifically designed to support industrial uptake of safe and sustainable design.
Based on available project data, specific licensing terms are not provided, though the project emphasizes FAIR data and open programmatic access.
It aligns with the European Green Deal and Chemicals Strategy for Sustainability to help companies meet safety and sustainability requirements more transparently.
The project runs from 2024 to 2027, with the goal of reducing time-to-decision through integrated pipelines and user interfaces for non-experts.
The consortium is well-balanced for commercial translation, featuring a 38% industry ratio with 8 industrial partners, including 5 SMEs. With 21 partners across 17 countries, the project has strong international reach and a healthy mix of 11 universities and 2 research centers to ensure the AI and mechanistic modeling is scientifically rigorous before industrial application.
Contact TAMPEREEN KORKEAKOULUSAATIO SR in Finland
Contact us to find out how to integrate these 93 models into your R&D pipeline.
