In the urban mobility landscape, innovation plays an increasingly central role, especially when it comes to the safety and reliability of public transport. In this context, ProximaLabs was born, an innovative spin-off of Pagliani Service, created with a very specific mission: to improve the safety of local public transport (LPT) through the advanced use of artificial intelligence (AI).
Technology to protect workers and citizens
ProximaLabs aims to address one of the sector's key challenges: reducing workplace accidents and increasing user protection, particularly in critical areas such as vehicle maintenance and parking.
Through solutions based on intelligent algorithms and predictive systems, the company develops tools capable of preventing accidents, monitoring risky situations, and supporting operators and managers in making faster and more effective decisions.
A clear objective: trust and safety in public transport
ProximaLabs' central goal is to minimize the risks associated with daily public transport operations: not only for sector operators, but also for users who rely on buses, trams, and other public transport for their daily travel.
At a time when trust in public transport systems is essential to encouraging sustainable mobility, ProximaLabs' approach represents a concrete step towards safer, more modern and technologically advanced public transport.
A look to the future
The spin-off aims to become a point of reference for public entities and transport companies looking to adopt innovative safety solutions. With a highly qualified team and a strong technical base, ProximaLabs is already working on pilot projects and strategic collaborations to bring artificial intelligence to the heart of urban mobility.
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