Meet our team
Red Lynx is a former spin-off of the Department of Engineering at the University of Perugia, founded by engineers and researchers with many years of experience and dozens of scientific publications in AI.
Innovation and research
From academic research to practical AI applications in the world of industry
Founding
We were a group of engineers, students, and researchers, simply united by our passion for artificial intelligence and robotics, when we founded Red Lynx.
Launch
Having completed the last research activities and projects with the University, we entered the market for the first time, with the goal of spreading and applying our knowledge inside companies.
Expansion
Today we work with clients across various sectors and organizations in the Umbria region and beyond, bringing AI innovation where it can make a difference.
Our mission
To make artificial intelligence accessible, understandable, and above all useful for companies that want to innovate and grow in an increasingly data-driven world.
What sets us apart
Rooted in Perugia's innovative ecosystem, our academic background and deep AI expertise allow us to offer solutions that are unique in the Italian landscape
Academic Background
We were founded as a university spin-off. Our team has years of academic research, dozens of scientific publications, and a deep theoretical understanding of the foundations of artificial intelligence.
Model Building
We don't just integrate existing systems like others. We're able to design, implement, and train AI models entirely from scratch, tailored to the specific needs of each client. This capability sets us apart from most companies in the industry.
Advanced Expertise
From theory to practice: our scientific approach delivers technically superior AI solutions, with optimized algorithms that produce more accurate and reliable results than the standard solutions on the market.
Our Advisory Board
Academics and professionals who support Red Lynx with strategic vision on artificial intelligence, robotics, and technological innovation.
Prof.ssa Elisa Ricci
Full Professor, University of Trento (DISI) and Fondazione Bruno Kessler
Deep learning for computer vision and robot perception: domain adaptation, continual learning, and self-supervised methods.
Prof. Gabriele Costante
Associate Professor, Department of Engineering, University of Perugia
Artificial intelligence, machine learning and computer vision for autonomous robotics, at ISARLab.
Prof. Jacopo Staiano
Associate Professor, University of Trento
Natural Language Processing, deep learning and large language models; formerly Head of Research at reciTAL.ai.
Prof. Francesco Santini
Associate Professor and Vice Director, Department of Mathematics and Computer Science, University of Perugia
Argumentation frameworks for artificial intelligence, constraint programming, cyber-security and blockchain technologies.
Want to know us better?
We're always open to new collaborations and challenges. Contact us to discuss your project or join our team.