About us

Focusing on the person, synbrAIn develops applications based on Artificial Intelligence, with the aim of fostering human-machine collaboration to innovate daily life processes. Our solutions are mainly related to Digital Healthcare, Human Capital Management and Customer Relationship Management, with the general goal of improving people's work and life.

Synbrain - The human machines cooperation

“The future lies not in the machines themselves, smart as they are. It is not in pure industrial automation, even if it is pushed to the utmost to replace the high degree of routine operations and low creativity of most jobs

The future of society is one is which machines and people work together, where jobs and business models will be fundamentally transformed.”

Paolo Traverso, Director of the Fondazione Bruno Kessler ICT Centrer

Our team

Roberto Pagani
CEO and founder
Michele Tomaselli
Chairman and founder
Mirco Piccoli
CTO and founder

Associated research company

SynbrAIn collaborates with SenticLAB, an applied research company based in Iaşi (Romania), in close collaboration with the local university.

The team is made up of enthusiastic, professional and dynamic people working to reach very high goals and provide the best solutions on the market.

We are a team of highly qualified talents, with high-level training in the most prestigious universities and close working relationships with international academic bodies.

Our strenghts

synbrAIn implements new processes to gain competitive advantage.

Professionals specialized in various AI sub-areas
Data Scientists
Software Engineers working in application development
Offices (Milan, Verona, and Palermo in Italy; Iași in Romania)

One of the most tangible sign of innovation is the number of publications, which is part of the academic and industrial experience of synbrAIn's employees and collaborators.

178
Scientific publications
8
PhDs within our Team
9
Main research areas

How does a data scientist spend his/her time?

  • 19% data definition and modelling
  • 10% data extraction and model definition
  • 9% design and development of fine-tuning algorithms
  • 9% other tasks