Klimaschutz als Geschäftsmodell
Wie können Unternehmen aktiv zum Klimaschutz beitragen und dabei wirtschaftlich erfolgreich sein? Jule Friedrich, Benjamin Kowalski und Susanne Rönnefarth diskutieren inn...
Speaker
Biografie
Anna is an entrepreneur and Co-Founder of Yarn AI, building at the intersection of artificial intelligence and real-world impact. With hands-on experience across MedTech, FinTech, and EdTech, she brings a rare ability to move fluidly between industries — translating complex challenges into tangible solutions and sustainable business value.
Her entrepreneurial journey is rooted in a simple but powerful conviction: technology only matters if it creates genuine value for the people it serves. This customer-first philosophy has shaped her work across early-stage startups, where she has led customer success journeys, operations, and business development with a relentless get-things-done mentality.
Anna holds a Master's in Innovation and Entrepreneurship from Copenhagen Business School, complemented by a foundation in Sociology and Economics — a combination that informs her holistic approach to building ventures that are as human as they are innovative.
“Make it a better place, For you and for me and the entire human race.”- Michael Jackson, Heal the World
Infos zum Unternehmen
YARN AI helps R&D teams design, optimize, and scale bio-based materials through AI-guided formulation intelligence, making sustainable materials faster, cheaper, and scalable. Bio-based materials work in the lab but they’re too expensive and difficult to industrialise, failing to replace fossil-based materials at scale.
Yarn AI’s vision is to make sustainable materials fossil-competitive by radically accelerating how they’re developed and produced. Yarn AI turns experimental data into intelligent decisions, helping teams develop superior materials faster, with fewer experiments, and with clearer paths to performance and cost improvements. It meets scientists where they work, from product development to process optimisation, and brings AI into the workflow in a way that stays intuitive and precise.
