Carlo is the MD and co-founder of Novacapital, the lead investor of Domyn’s Series A round. He has experience in industry, having worked for more than 10 years in Spain, Austria, and France with Jenbacher and Veolia, and in consulting, having been with McKinsey for 13 years. He holds a degree in mechanical engineering and an MBA from Insead. He speaks 6 languages and enjoys the outdoors and fencing.
Martin Cimmino is the Head of AI Research at Domyn, where he leads the company’s efforts to push the boundaries of artificial intelligence and integrate cutting-edge models into products and platforms. In this role, he is responsible for shaping the research strategy, advancing the state of the art in machine learning, and enabling Domyn’s product ecosystem with models that combine efficiency, robustness, and real-world usability. By bridging the gap between academic research and practical application, he ensures that AI remains a core driver of innovation within the company’s technology stack.
Before joining Domyn, Martin built a career around designing, developing, and deploying machine learning systems that addressed complex business challenges. His work has spanned diverse industries, from media and marketing, where he developed data-driven solutions to enhance decision-making, to consulting, where he helped organizations pilot and scale AI applications across a wide range of use cases. These experiences shaped his approach to AI as both a science and an engineering discipline—grounded in research rigor but always directed toward measurable impact.
At Domyn, his focus is not only on research excellence but also on enabling AI to become a tangible, transformative component of the product experience. He leads cross-functional initiatives that bring together research scientists, engineers, and product teams to ensure models are not only state-of-the-art but also trusted, scalable, and aligned with customer needs. Recent initiatives have included large-scale model training and optimization, fine-tuning strategies for domain-specific performance, and reinforcement learning approaches to enhance reasoning and adaptability in AI systems.
Passionate about advancing the field, Martin believes in the responsibility that comes with building AI technologies and is committed to promoting transparency, fairness, and usability in every stage of development. His vision is to create models that don’t just perform in benchmarks but that also meaningfully enhance the way people interact with technology in everyday life.
Martin holds both a B.S. and an M.S. in computer science, where he focused on the intersections of machine learning, systems, and data-driven applications. Today, he continues to balance technical depth with leadership, fostering a culture of curiosity, rigor, and collaboration within Domyn’s research and engineering teams.