Portfolio

Cubit EvalKit is an evaluation board for rapid prototyping and testing FPGA applications.

Cubit Core-SF2 is a System-on-Module (SOM) based on Microchip SmartFusion2 FPGA designed for high-performance embedded applications. Ideal for Industrial Automation, Industrial IoT, and real-time processing, it offers parallel processing, low latency, and energy efficiency. The FPGA architecture flexibility enables the development of custom

EU-TRAINS aims to reinforce the supply chain on sensors for biomechanics and cardiovascular system real-time monitoring targeting applications in the fields of fitness and healthcare.

H2TRAIN aims at advancing the state of the art in this respect, taking profit from the remarkable properties and synergistic potential of one-dimensional (1D) and two-dimensional (2D) materials (1DM and 2DM), enabling more sensitive, efficient, and miniaturized biosensing capabilities within the established CMOS technology framework.

MUSAI will contribute to the preservation of marine ecosystems by developing technology capable of autonomously detecting waste located below the sea level.

The EU-funded EUPEX will support the creation of a sustainable European scientific and industrial high-performance computing (HPC) ecosystem, and help lay the foundations for Europe’s digital sovereignty. Specifically, EUPEX will pave the way for the upcoming European Exascale systems.

DUCA aims at providing a framework to empower European users and organizations to take control of their data, thus easing confidentiality and personal data protection (including both personal data of citizens and confidential data produced by data-enabled organizations).

The proposed project aims to collect and analyze targeted data to improve the quality of life and well-being of the elderly.

Cubit Meshing Suite - CMS is the result of an internal R&D project developed to enhance and standardize the processes associated with preprocessing in CFD Analysis.

SELF-RAG, short for Self-Reflective Retrieval-Augmented Generation, is a state-of-the-art framework designed to enhance language models by integrating adaptive retrieval mechanisms that draw relevant information in real-time. This approach improves the accuracy and reliability of the generated outputs, coupling the model's inherent creative