SciTransfer
PINK · Project

AI-Powered Software for Designing Safe, Sustainable, and Cost-Effective Chemicals and Materials

manufacturingTestedTRL 5

Imagine trying to bake a cake that is healthy, cheap, and tastes great, but you have to guess the ingredients every time. This project builds a smart digital assistant that predicts exactly which ingredients will work best before you even turn on the oven. It helps companies stop wasting time on failed experiments by using AI to find the safest and greenest materials.

By the numbers
16
partners
13
countries involved
3
Industrial Demonstrators
2
Developmental Case-Studies
The business problem

What needed solving

Companies struggle to develop new materials that are simultaneously safe, sustainable, and cost-effective. This often leads to expensive trial-and-error cycles and failure to meet new environmental regulations.

The solution

What was built

The PINKISH Platform, which uses Generative AI and data visualization to provide decision support for material development.

Audience

Who needs this

Chemical R&D ManagersSustainable Materials EngineersRegulatory Compliance Officers in ManufacturingSME Material Innovators
Business applications

Who can put this to work

Specialty Chemicals
enterprise
Target: Chemical manufacturer

If you are a chemical manufacturer dealing with strict safety regulations and high R&D costs — this project developed the PINKISH Platform that uses Generative AI to optimize for safety, cost, and performance simultaneously.

Advanced Materials
SME
Target: Polymer or composite producer

If you are a composite producer dealing with the pressure to switch to circular economy materials — this project developed integrated workflows that predict the full life cycle impact of new materials.

Industrial Coatings
mid-size
Target: Paint and coating supplier

If you are a coating supplier dealing with the need to replace toxic substances without losing product quality — this project developed a decision support system to find sustainable alternatives quickly.

Frequently asked

Quick answers

What is the cost or price of using the PINKISH platform?

Based on available project data, the specific pricing is not mentioned, but the project aims to provide cost-effective tools and an open innovation platform.

Can this be used at an industrial scale?

Yes, the project includes the validation of models through at least 3 Industrial Demonstrators and 2 Developmental Case-Studies to ensure industrial readiness.

How is the IP and licensing handled for the software?

The project intends to make data, models, and software publicly available whenever possible and is developing a business plan for long-term commercial sustainability.

How does this help with EU chemical regulations?

It integrates safety and sustainability criteria into the design process, helping companies meet Safe-and-Sustainable-by-Design (SSbD) requirements.

When will the tools be available for business use?

The project runs from 2024-01-01 to 2027-12-31, with the platform being developed and validated during this period.

Consortium

Who built it

The consortium is well-balanced for commercialization, featuring 16 partners across 13 countries. With a 31% industry ratio (5 companies, including 4 SMEs), there is a strong direct link between the 6 universities and 4 research centers and the actual market needs of small and medium enterprises.

How to reach the team

Contact SEVEN PAST NINE D.O.O. in Slovenia

Next steps

Talk to the team behind this work.

Contact us to explore how to integrate SSbD AI tools into your R&D pipeline.

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