AI-driven microorganism mix has the potential for groundbreaking innovation

Federal Environment Minister Carsten Schneider: “Germany and Europe are working flat out to become less dependent on imports for raw materials and to strengthen our sovereignty. The circular economy is a key element in this effort. It doesn’t start with recycling, but with the question of how and from what we manufacture products. The interplay between biotechnology and artificial intelligence presents a major opportunity: The technologies we develop today will determine the competitiveness and sovereignty of tomorrow. That is why we are collaborating with SPRIND for the first time to ensure that such innovations emerge in Germany and Europe and find their way to market here.”

Rafael Laguna de la Vera, Director of SPRIND: “Chemistry that does not rely on fossil raw materials but is based on waste streams instead? AI-driven microbial consortia can play a significant role in this. That’s why we’re seeking out the best talent in Germany and Europe to take on this major challenge. The competition format has proven its worth: In a multi-stage selection process based on fixed criteria, it quickly becomes clear which ideas have the greatest potential to move swiftly toward application and commercialization—and thus contribute to long-term value creation in Germany and Europe.”

In industrial biotechnology, microorganisms have long been used to produce substances, typically as individual, specifically optimized strains that rely on pure and consistent raw materials. The Challenge, on the other hand, focuses on communities of different microorganisms that share the individual production steps. Such microbial communities are more robust, can cope with fluctuating raw materials, and can produce entirely new products through biosynthesis or support the degradation of complex waste streams (such as scrap tires, textiles, and building materials). However, because many organisms and metabolic pathways interact with one another in this process, they have so far been difficult to predict and control. Artificial intelligence becomes a crucial prerequisite here: It analyzes measurement data, predicts the community’s behavior, detects undesirable developments early on, and thus enables stable and safe processes on an industrial scale. If this is successful, waste can be biologically recycled, new sources of raw materials can be tapped, new materials can be developed, and material cycles can be closed.

The challenge is part of the National Circular Economy Strategy (NKWS) and is funded as part of the Federal Ministry for the Environment (BMUKN)’s digitization initiative, which promotes digital solutions and artificial intelligence for the circular economy. The BMUKN is thus further developing its funding program “AI Lighthouses for the Environment, Climate, Nature, and Resources.” This is the next step toward more closely integrating artificial intelligence and environmental protection and harnessing the potential of AI for the environment and the economy. SPRIND Challenges focus on topics with significant potential for breakthrough innovation—that is, innovations that sustainably improve our lives by fundamentally transforming markets, creating new markets, or solving major technological, societal, or environmental challenges. The combination of AI and microbial communities offers this potential: it could fundamentally change how and from what chemicals and materials are produced.

The challenge will take place in three stages. An international panel of experts will select up to ten teams in Leipzig in early December 2026 and decide after each stage which teams will advance. Each team can receive up to 4.3 million euros in total. In total, the BMUKN is providing 30 million euros for the challenge through 2029. Ultimately, the top teams will be expected to demonstrate that their process works on a large scale and can make it to market.