SII is an international group specialising in digital services and information and communication technologies (ICT). Founded in 1979, SII operates as a digital consulting and engineering company, providing long-term support to major groups in demanding sectors such as aeronautics, space and defence, banking and insurance, telecommunications, energy, and industry. With a presence in 21 countries and more than 16,000 employees, the group places human values and team commitment at the heart of its strategy.
Since 2010, and with constant acceleration in recent years, SII has been investing sustainably in research and innovation. From design to production, SII transforms tomorrow's technologies into concrete, high-performance, and responsible solutions that create value for its clients and society.
SII is involved in research and innovation activities, either independently or through partnerships, in order to support our clients and society in responding to major challenges: connected, inclusive, and sustainable territories and services, as well as eco-friendly, autonomous, and accessible transportation.
The four main research themes are:
- Optimize product operations within its ecosystem
- Reducing time-to-market while ensuring reliability
- Supporting the energy transition
- Improvement of production and operation
SII participate in the consortium by supporting data management, battery modelling, and the development of AI-driven methods to optimize battery validation processes.
SII is responsible for establishing a European cloud-based data infrastructure that enables secure data sharing and interoperability in line with FAIR principles. The company also contributes to the harmonization of battery testing data, the integration of datasheet information, and the development of AI algorithms that identify the most relevant experimental conditions, reducing the amount of testing required.
In addition, SII develops time-series analysis methods to predict battery component ageing and ensures seamless integration between physical testing, simulations, and data analytics.
Through these activities, SII contributes to the consortium's ambition to reduce by a factor of 5 to 10 the number of experimental conditions needed for battery characterization, leveraging artificial intelligence to focus on the most valuable experiments.
