synbrAIn - The Human-Machine Cooperation

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 Italian artificial intelligence will be anthropocentric, reliable and sustainable. Technologies do not hust have to promote the economic growth but also ensure that it can be inclusive and sustainable.

This means that AI development must focused on economic and social inclusion, on human rights and on the environmental sustainability. AI must be designed and implemented according to principles such as responsibility and transparency, in order to address the upcoming societal challenges by ensuring safety in all sectors.”

from the Artificial Intelligence Strategic Plan 2022-2024 by the Italian Government

Our team

Roberto Pagani
CEO and founder
Elisa Mattavelli
Member of the board
Michele Tomaselli
Chairman and founder
Mirco Piccoli
CTO and founder

SenticLAB - a subsidiary of synbrAIn - is based in Iaşi (Romania) and it is an applied research company, working in artificial intelligence in close collaboration with the local Alexandru Ioan Cuza 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.

Emme Esse has been active for almost 50 years in field of healthcare, and it is one of synbrAIn's shareholders.

Consolidated over the years, this partnership has developed from a strategic and commercial partnership, which produced technological solutions combining the diagnostic needs from the medical domain with artificial intelligence and machine learning.

MS HUMANAID is the platform from which our partnership has been generated.

Discover MS HUMANAID

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.

Data Scientists
Software Engineers working in application development
Radiologist
Professionals specialized in various AI sub-areas
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.

183
Scientific publications
8
PhDs within our Team
8
Main research areas
Explore synbrAIn community

Skills Map

Our development team's skills are extremely variegated, covering a large number of technologies related both to software development and engineering.

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Skills Map

Ethical AI

synbrAIn develops its artificial intelligence applications according to the ethical guidelines defined by the European Commision in 2019 - and reaffirmed within the Strategic Plan for Artificial Intelligence 2022-2024 by the Italian Government:

Ethical AI
  1. Human agency and oversight: AI systems should empower human beings, allowing them to make informed decisions and fostering their fundamental rights. At the same time, proper oversight mechanisms need to be ensured, which can be achieved through human-in-the-loop, human-on-the-loop, and human-in-command approaches.
  2. Technical Robustness and safety: AI systems need to be resilient and secure. They need to be safe, ensuring a fall back plan in case something goes wrong, as well as being accurate, reliable and reproducible. That is the only way to ensure that also unintentional harm can be minimized and prevented.
  3. Privacy and data governance: besides ensuring full respect for privacy and data protection, adequate data governance mechanisms must also be ensured, taking into account the quality and integrity of the data, and ensuring legitimised access to data.
  4. Transparency: the data, system and AI business models should be transparent. Traceability mechanisms can help achieving this. Moreover, AI systems and their decisions should be explained in a manner adapted to the stakeholder concerned. Humans need to be aware that they are interacting with an AI system, and must be informed of the system’s capabilities and limitations.
  5. Diversity, non-discrimination and fairness: Unfair bias must be avoided, as it could could have multiple negative implications, from the marginalization of vulnerable groups, to the exacerbation of prejudice and discrimination. Fostering diversity, AI systems should be accessible to all, regardless of any disability, and involve relevant stakeholders throughout their entire life circle.
  6. Societal and environmental well-being: AI systems should benefit all human beings, including future generations. It must hence be ensured that they are sustainable and environmentally friendly. Moreover, they should take into account the environment, including other living beings, and their social and societal impact should be carefully considered.
  7. Accountability: Mechanisms should be put in place to ensure responsibility and accountability for AI systems and their outcomes. Auditability, which enables the assessment of algorithms, data and design processes plays a key role therein, especially in critical applications. Moreover, adequate an accessible redress should be ensured.
synbrAIn Team