ML cube is a Politecnico di Milano spin-off innovative firm – part of Kayrhos Group - providing cutting-edge solutions for Machine Learning Systems and Life-Cycle-Performance Optimization.
ML Cube comes from the research activity of the Department of Electronics, Informatics and Bioengineering of Politecnico di Milano. It is the result of the specific research lines of Artificial Intelligence, Reinforcement Learning and Optimization conducted by a brilliant and synergic team. Thanks to the combination of excellent scientific and managerial expertises, our team can face the new challenges of the AI market. 
We believe that Artificial Intelligence will be part of our lives and will design models for every business, becoming an inseparable part for products and services. We provide customers who choose to invest in AI with innovative tools to guarantee high-standards performance maintenance of their systems.

Engineering

AI/ML

Research

ML cube

Nicola Caporaso

Luca Sabbioni

Giovanni Giacometti

Alessandro Nuara

Alberto Marchesi

Lucrezia Menoncello

Francesco Trovò

The Machine Learning Team at ML Cube is dedicated to developing advanced AI algorithms and models that enhance system performance and optimize lifecycle management. Comprised of experts in machine learning, AI research, and data science, the team collaborates to create innovative solutions tailored to meet the specific needs of clients. By leveraging their extensive knowledge and skills, they aim to integrate cutting-edge AI technologies into various industries, ensuring high standards of performance and reliability.

Machine Learning Team

Leadership Team

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Machine Learning Team

About

Team members

Other teams at ML cube

Leadership Team

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Machine Learning Team

About

Team members

Other teams at ML cube

Leadership Team

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