Miningful srl (MIN – IT)
Miningful leverages cutting-edge AI technology to build and integrate predictive systems into production, commercial, logistics and distribution processes within the industrial sector.
Our innovative solutions help companies reduce production costs, optimize resource use and gain deeper insights by identifying critical factors, their impacts and emerging trends. By employing a unique multimodal approach that combines numerical data, text and images, Miningful delivers precise, integrated predictions tailored to meet diverse and dynamic business needs.
Beyond supporting businesses, Miningful is deeply committed to advancing scientific research. Our team provides expertise in AI, machine learning and statistical analysis to support academic publications and research projects. Every day, we contribute to our customers’ digital innovation, helping them achieve business goals and create value through a data-driven approach. At Miningful, we believe in fostering a healthy balance between professional success and personal well-being. Based in Pisa, Italy.
AUTOMATA team at MININGFUL
Nevio Dubbini
With a Ph.D. in Applied Mathematics, Nevio Dubbini brings a wealth of experience from interdisciplinary fields, where understanding diverse needs and fostering collaboration across disciplines has been key. He excels at translating complex technical challenges into clear, actionable solutions, combining deep expertise in data science, AI, and statistics with a strong commitment to teamwork and result-oriented problem-solving. As an active contributor to academic research, he has authored or co-authored more than 30 scientific publications.
Annalisa Maggini
During her studies in Botanical, Annalisa Maggini cultivated a deep interest in data science, which quickly became the cornerstone of her professional path. Her national and international experiences showcased the ability to thrive in challenging environments. At Miningful, Annalisa developed a distinctive skill set at the intersection of machine learning and human-driven analysis. Her expertise lies in seamlessly integrating technical solutions with user-centered feedback, consistently balancing advanced data techniques with practical usability.
Leonardo Zecchin
With a Master’s degree in AI Engineering from DTU, Leonardo Zecchin is an AI Specialist with a strong foundation in developing and fine-tuning advanced AI models. He has several years of experience working with state-of-the-art AI models, applying them to real-world applications. His work combines technical expertise with a passion for innovative problem-solving, and he is committed to creating impactful solutions through the effective use of machine learning models, data processing pipelines, and custom algorithms.
