Innovation starts with data
Quantia Consulting supports companies and organizations on their data-driven innovation journey, offering strategic expertise, training, and tailor-made solutions in the field of data science and analytics.
Mission
Our mission is to support companies and organizations in their journey toward data-driven innovation. We operate in the fields of data engineering and data science & analytics, delivering training services for executives and professionals, as well as strategic consulting and hands-on coaching. Our know-how covers infrastructure, tools, and methodologies across the entire data science pipeline, designing custom solutions that integrate diverse data sources.
Vision
We believe in a future where every strategic decision is supported by accurate data and actionable insights. Our vision is to make data-driven innovation accessible to all organizations, transforming complex data into tangible value through cutting-edge technologies and highly specialized expertise.
team
The team at Quantia Consulting comprises highly specialized professionals and university professors, distinguished by a solid background in innovation and more than two decades of experience in collaborative research initiatives.
Founders
Marco Balduini
ceo & co-founder
CEO of Quantia Consulting, holds a Ph.D. in Computer Science from Politecnico di Milano with 10+ years of experience in Big Data, Data Science, and Semantic Technologies. He has participated in international projects and founded two startups in the fields of visual analytics and Edge AI.
Emanuele Della Valle
External Consultant & co-founder
Associate Professor at Politecnico di Milano with 20+ years of experience in Data Science and AI. Founder of the Stream Reasoning research field and scientific director of five specialized master’s programs. Author of 50+ international scientific publications.
Marco Brambilla
External Consultant & co-founder
Full Professor at Politecnico di Milano, specialized in Generative AI, Computer Vision, and Multimodal Learning. He has led international research projects and is the author of 250+ scientific publications and books on data science and software development.
faculty
A faculty in constant evolution, ensuring up-to-date training that meets the highest standards of innovation.
Anna Sandionigi
Senior Data Scientist & Trainer
Data scientist, contract lecturer, and researcher with over 20 years of experience in the analysis of biological and environmental data. Author of more than 40 international scientific publications. She currently leads the development of exploratory tools and technology transfer activities for us in European projects.
Matteo Belcao
Data Engineer
Lecturer and consultant in Data Science and Data Engineering, with a Master’s degree in Computer Science and over 10 years of experience in Big Data, Semantic Technologies, and AI. He has trained professionals in the engineering, financial, and insurance sectors on Python, DataOps, Google Cloud, and Generative AI.
Alessio Bernardo
External collaborator
Data scientist and researcher with solid experience in developing Streaming Data Science and Machine Learning techniques for Edge devices. He holds a PhD from Politecnico di Milano and is co-founder and CTO of Motus ml, an academic spin-off.
Giacomo Ziffer
External collaborator
PhD candidate at Politecnico di Milano with expertise in Artificial Intelligence for dynamic data streams and real-time time series analysis. He holds an international background in Data Science and Digital Innovation. Co-founder and CEO of Motus ml, an academic spin-off.
Mathyas Giudici
External collaborator
Researcher at Politecnico di Milano with expertise in Human–AI collaboration, conversational agents, and data visualization. Contract lecturer and consultant for data-driven projects in social, industrial, and educational contexts. Leads Leximore, an innovative device for cognitive rehabilitation.
Federico Giannini
External collaborator
PhD Candidate in Computer Science at Politecnico di Milano, with solid experience in Deep Learning, Streaming Machine Learning, and Continual Learning. His research focuses on developing intelligent systems capable of learning continuously from evolving and dynamic data streams.
partner
