People. Data. Decisions.
Imagine a world where people take the best possible decisions because they understand their data, and can transform this insight into real actions. A world where modern technology makes life easier, by helping people face everyday problems and long-term challenges.
This had been our driving vision for many years. In 2014 this vision became reality.
Since then, our team, together with an extensive network of partners, has helped clients from all over the world improve operational and decision-making processes.
Over the years, Rulex has received many awards from research institutes (MIT Sloan School of Management, Cambridge Massachusetts) and technological advisory groups (Gartner and Forrester). But the greatest recognition for us comes from our clients, on a daily basis.
At Rulex, we have defined a set of values which reflect the way we collaborate with colleagues, clients, and all stakeholders.
We give people the key to unlock the full potential of data
We launch cutting-edge projects, investing in experienced professionals and young talents
We help people trust their data, building long-lasting relationships with our clients and partners
We always try our best to satisfy client needs with tailor-made solutions
Committed to creating a healthy work-life balance for our employees
Meet the team
We are an extremely motivated group of people
Master degree in Electronic Engineering, researcher and inventor of the Rulex technology. Three decades of experience in the development of advanced machine learning techniques and their implementation for solving real life problems concerning big data.
Master degree in Mechanical Engineering, PhD in Energetics, enterpreneur with over 20 years’ experience in the energy sector, co-founder & CEO of several successful start-ups; over 10 years’ experience in venture capital voted to disruptive digital innovation.
Master degree in Mechanical Engineering, Master in Business Administration, over 20 years of experience as private equity investor, board of directors and chief financial officer, supporting local leaders in reaching their global potential.
PhD in Sociology, multi-year experience in management and corporate organization, event organization, management of human resources, communications, and management of European projects with particular focus on research, development, and innovation.
Master degree in Computer Science, over 10 years’ experience in research and development in the computer science field, projecting and development of innovative business solutions.
PhD in Electronic Engineering and Computer Science, expert in the development of complex software projects. Multi-year experience in the research and development of cross-platform software tools for the analysis of data.
PhD in Physics and expert in algorithms for the extraction of knowledge from big data in a broad range of settings. Over a decade of experience in data analysis and management of complex projects concerning big data.
Bachelor degree in Computer Science, over 10 years’ experience in the management of international projects in the field of fintech, with a specific focus on the creation of decisional processes in the field of risk management.
Claire Thomas Gaggiotti
Honours degree in Modern Languages, over 20 years’ experience in technical writing, instructor-lead training and digital learning strategies in cutting-edge innovation.
PhD in Astrophysics and Applied Physics, experience in the field of scientific research and development through the application of machine learning technologies.
Over 10 years’ experience in the computer science field as a system administrator, in the administration of databases, in the configuration of software systems and hardware, and in general in solving of computer problems.
Master Degree in Business Administration, over 15 years of experience in m&a, private equity and start-up.
Assuming management role as CFO and General Manager in primary startup in Italy.
PhD in Electronic Engineering, Computer Science, Robotics and Telecommunications. Expert in software development, specifically regarding the projecting and realization of association rule mining algorithms and the conduction of big data projects.