SIRIUS Secures STEP Funding: A New AI Solution for Civil Infrastructure Safety
The €3.9 million SIRIUS project will combine Artificial Intelligence, IoT and edge computing to advance structural health monitoring and infrastructure safety.
10 December 2025 – Sapiens Analytics and Boviar have announced that they have secured funding under the STEP programme for SIRIUS – Intelligent Monitoring System for Urban and Civil Infrastructure Safety and Structural and Seismic Assessment, developed in collaboration with the University of Trieste and the University of Naples.
With a total project value of €3.9 million, the initiative aims to transform the monitoring of Italian and European infrastructure assets by introducing an innovative approach based on the integration of Internet of Things (IoT), edge computing and Artificial Intelligence.
The project addresses an increasingly urgent challenge: improving continuous monitoring and enabling timely interventions on bridges, viaducts and other civil infrastructure exposed to environmental and structural stresses, particularly in densely populated urban areas.
"SIRIUS represents the perfect combination of digital innovation and social impact. We are taking Artificial Intelligence out of research laboratories and into the infrastructure that supports our country, making it safer, more predictable and more sustainable. This is a decisive step towards truly intelligent maintenance," said Riz Zigliani, Strategic Business Manager at Sapiens Analytics.
AI and IoT for Intelligent Infrastructure Monitoring
At the heart of the project is the development of an IoT platform with distributed intelligence, designed to simplify, optimise and improve the reliability of data management across heterogeneous sensor networks.
The SIRIUS architecture will be modular and scalable, enabling it to adapt to infrastructure monitoring environments of varying sizes and levels of complexity.
Intelligent modules installed directly on sensor nodes will process information locally, verify the integrity of collected data, identify significant events and transmit only the information relevant to maintenance activities. This approach will help reduce both operational costs and analysis times.
A key feature of the platform will be the integration of embedded Artificial Intelligence algorithms capable of detecting anomalous variations in real time, identifying recurring patterns and generating aggregated performance indicators.
These capabilities will support more accurate planning and execution of both routine and extraordinary maintenance activities, enabling a more proactive approach to structural health monitoring and infrastructure risk management.
Predictive Maintenance and Real-Time Structural Diagnostics
The SIRIUS platform will enable Boviar to provide advanced services to infrastructure operators and maintenance managers, helping them rapidly assess structural conditions through accurate and reliable real-time data processing.
These capabilities will be complemented by tools for remote diagnostics, sensor lifecycle management and AI-powered decision support through predictive algorithms.
By integrating intelligence directly into data acquisition nodes, SIRIUS aims to improve the timeliness and accuracy of structural assessments while supporting more effective maintenance planning and risk prevention.
"SIRIUS marks a significant step forward in infrastructure diagnostics. Integrating Artificial Intelligence directly into data acquisition nodes will enable us to obtain more accurate and timely information, significantly reducing risks and improving maintenance planning. It represents a major breakthrough for the structural monitoring sector," said Salvatore Latte Bovio, CEO of Boviar.
Advancing Infrastructure Safety Through AI and Predictive Analytics
SIRIUS has also been conceived in response to evolving Italian regulations governing infrastructure risk classification and structural monitoring.
Recent guidelines call for increasingly accurate and continuous monitoring capabilities, alongside systems designed to reduce false alarms, uncertainty and operational costs.
Within this context, the project offers a scientifically grounded and technologically advanced solution, combining the industrial expertise of Sapiens Analytics and Boviar with the scientific contribution of its university partners.
By integrating AI-powered predictive analytics, distributed computing and intelligent sensor technologies, SIRIUS aims to support a transition from conventional infrastructure monitoring towards more proactive, data-driven maintenance and risk management.
With its ability to adapt to different operational environments and address the safety requirements of communities, SIRIUS aspires to become a European benchmark for infrastructure risk prevention, contributing to the development of safer, more efficient and more resilient cities.
Boviar – www.boviar.com
Founded in 1969, Boviar Srl is a leading Italian company specialising in structural and geotechnical diagnostics and non-destructive testing.
With more than 2,000 projects completed across civil infrastructure, buildings and geotechnical applications, the company is an established partner for public authorities, infrastructure managers and industry operators.
Boviar operates from two locations – Gerenzano (Varese) and Casoria (Naples) – and employs a multidisciplinary team of engineers, geologists and specialist technicians engaged in the design, installation and maintenance of static and dynamic monitoring systems.
The company holds ISO 9001:2015 certification and is recognised as a CICPnD Examination Centre, authorised to certify Level 1 and Level 2 non-destructive testing personnel.
Through its combination of technical expertise, engineering capabilities and advanced technological solutions, Boviar has established itself as one of Italy's leading providers of infrastructure safety and monitoring services.
Sapiens Analytics – www.sapiensanalytics.ai
Founded in 2020, Sapiens Analytics is an Italian company specialising in the development of Artificial Intelligence solutions, data analytics and advanced digital systems, with offices in Brescia and Piacenza.
The company designs and develops advanced technology platforms for industry, infrastructure and public administration, integrating proprietary algorithms, machine learning, predictive models and distributed architectures.
Sapiens Analytics has built a multidisciplinary team of data scientists, engineers and process automation specialists, dedicated to developing end-to-end solutions spanning intelligent monitoring, predictive maintenance, data management and IoT system design.
The company maintains ongoing collaborations with universities and research centres, including the University of Brescia, the University of Bologna, the University of Trieste, the University of Padua, the University of Palermo, the University of Naples Federico II, the University of Trento, the Free University of Bozen-Bolzano, the University of Turin and the Polytechnic University of Turin, alongside other Italian academic institutions involved in applied research and technology transfer.
These partnerships strengthen Sapiens Analytics' ability to combine scientific expertise with industrial applications, driving innovation across the strategic sectors in which it operates.
To learn more about Sapiens Analytics' AI solutions, contact us at welcome@sapiensanalytics.ai
