Advanced AI and mathematical models

Acube is a deep-tech SME with strong expertise in the development and governance of the mathematical layer of AI-based, predictive, and decision-support systems.

Within the proposed calls, Acube can act as a cross-cutting scientific and technological partner, responsible for the design, integration, and validation of advanced AI algorithms.

In the energy and energy-sharing domain, Acube can develop multi-scale forecasting algorithms (demand, generation, flexibility), probabilistic models to manage uncertainty, and optimisation tools supporting grid–consumer balance and user-centric energy sharing.

In the aviation context, Acube can support aircraft lifecycle management through AI-driven digital twins, surrogate modelling, predictive analytics for MRO, and data-driven optimisation of design and manufacturing processes.

For multimodal transport and logistics, Acube contributes optimisation models for traffic and freight flows, scenario simulation, bottleneck prediction, and decision-support tools to enhance supply chain resilience and competitiveness.

Across all calls, Acube provides:

• full control and transparency of the mathematical layer

• explainable and robust AI models

• integration with existing digital and operational systems

• support for validation, KPIs, and industrial scaling

Acube’s contribution strengthens scientific soundness, operational impact, and the transferability of the developed solutions.