A group of promising startups from the Technical University of Munich will be visiting F&A Next, bringing fresh ideas and cutting-edge technologies to the international stage. Emerging from one of Europe’s leading innovation ecosystems, these ventures span a wide range of food and agriculture solutions. Their presence highlights the strong link between academic research and entrepreneurial ambition, offering a glimpse into the next generation of solutions shaping the future of food and agriculture.
MycoNest develops biodegradable mycelium-based artificial habitats that restore biodiversity in environments dominated by infrastructure such as solar parks, substations, railways, and roadsides, bringing life back to sites filled with pillars, fences, and hard surfaces.
AGAi is an innovative deep-tech startup that develops AI-based solutions to optimize agricultural practices through data-driven insights. Their mission is to provide farmers and agronomists with actionable recommendations that enhance crop yield, promote sustainable practices, and ensure resilience against climate challenges. By integrating advanced AI technologies, including climate models, soil data, and agronomic knowledge, AGAi delivers precision farming solutions […]
ARPOSO Biotech revolutionizes food preservation through science and sustainability by developing innovative edible coatings based on more than 20 years of research in biopolymers and biotechnology. These safe, natural coatings extend the shelf life of fresh produce by over 3x, helping reduce food waste and replace plastic packaging with sustainable alternatives.
Tint Biotech is the first platform stabilizing algae pigments into colors that perform in real processing and real products. By turning algae biomass into a scalable ingredients portfolio, Tint Biotech helps producers move up the value chain, quickly assessing whether a Tint biorefinery program fits their operation and unlocking new value from biomass.
Provigen AI turns robotic biolabs into closed-loop systems by deploying and optimizing laboratory protocols with active learning. Instead of months of manual debugging, the platform shortens optimization timelines from months to weeks by connecting to equipment, reading sensor data to auto-debug workflows, and continuously running iterative optimization loops.
Nerit’e gives you control over fertilizer decisions by delivering real-time soil nitrate data, enabling you to use and purchase inputs based on actual need, not noise.