Nereva strengthens its research and development positioning with the granting, to its French subsidiary based in Nice, of Jeune Entreprise Innovante (JEI) status, at the end of a tax ruling procedure conducted with the French tax administration. This status, governed by French regulations, recognises the eligibility of companies engaged in research and development work that meets precise criteria, notably regarding the intensity of R&D efforts and the nature of the activities carried out. It is part of a dynamic aimed at supporting companies that develop new technological approaches.
An operational platform at the heart of transport operations
The Nereva platform is now deployed and used by transport companies to run their operations in the construction sector. It is an operational foundation designed to structure flows that have historically been managed in a fragmented way, often through heterogeneous tools and processes heavily dependent on human intervention. By centralising planning, real-time monitoring and mission coordination, Nereva gives transport players a unified view of their operations. This ability to make flows visible and traceable helps improve day-to-day decision-making while reducing the operational friction linked to handling the unexpected.
Research work structured around the complexity of the field
Since its creation, Nereva France has concentrated the group's research activities with a clear ambition: to model and better understand the complexity of logistics flows in the construction sector. These flows combine constraints rarely found together in other sectors: strong dependence on site conditions, chains of interdependent missions, a multitude of players and constantly changing operational situations. To address these challenges, the work relies on a structured approach combining mathematical modelling, algorithm development and experimentation on real data. This approach goes beyond mere digitisation to build tools capable of integrating the intrinsic complexity of the sector.
EVA: an artificial intelligence engine under development
At the heart of this research strategy is EVA (Engine for Virtual Anticipation), an artificial intelligence currently being developed and trained. EVA aims to address dynamic planning problems, in which decisions must be made while simultaneously integrating many constraints: resource availability, time constraints, mission sequencing and operational contingencies. At this stage, the work focuses on designing and training models capable of exploiting field data in order to progressively improve their ability to represent and anticipate real situations.
Progressive integration into the Nereva platform
EVA is intended to be progressively integrated into the Nereva platform in order to extend its capabilities. The goal is not to replace existing tools but to add a further layer of intelligence to assist transport companies in their daily decisions. In time, this integration aims to enable better structured planning, finer anticipation of operational constraints and a greater ability to adjust operations as conditions on the ground evolve. This approach follows a logic of continuous improvement, where the system's capabilities evolve progressively with experimentation and the data collected.
A scientific approach combining several disciplines
To address the complexity of the problems involved, the work draws on several complementary approaches. Optimisation models are used to structure the assignment of missions and resources. Prediction algorithms estimate certain key variables, such as journey or intervention times. Adjustment mechanisms are developed to integrate real-time changes, while data processing technologies help improve the quality of the information used. This combination makes it possible to better integrate the uncertainty and variability inherent in transport operations in the construction sector.
Experiments in real conditions
The models developed are trained and tested on data from field operations, in order to assess their behaviour in representative contexts. These experimental phases make it possible to identify the gaps between the models and reality, to understand their limits and to progressively improve their robustness. They are an essential step in developing solutions suited to operational constraints, before any wider roll-out.
A structuring milestone for Nereva
Obtaining JEI status marks an important step in Nereva's development. It reinforces a strategy based on a clear articulation between an operational platform that is already deployed and the progressive development of advanced capabilities stemming from research. Through EVA, Nereva pursues a structuring ambition: to move construction transport logistics towards a data-driven model, capable of integrating the complexity of operations and sustainably improving how they are run.
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