Research and Enterprise Software

Training, deployment and validation of Machine Learning and Deep Learning algorithms for data analysis, predictive modeling, and process automation.

Management, analysis, and representation of geospatial data for applications in sectors such as urban planning and territorial management.

Design of IoT architectures, development of devices and platforms for data collection and processing from sensors and object-generated data.

Construction and management of large-scale data architectures, including specific frameworks and non-relational databases technologies, for advanced analytics.

A user-centered approach that integrates UX /UI design principles to create solutions that exhibit usability, accessibility, and adoption of developed technologies.

End-to-end data lifecycle support, from modeling and integration to quality assurance and data security, to enhance information reliability.

Design and implementation of FAIR (Findable, Accessible, Interoperable, Reusable) data practices, ensuring datasets are aligned with open science principles and optimized for long-term research output management. Strong ties and recognised contributions to European initiatives on Safe and Sustainable by Design (SSbD) approaches.

Translating complex research into compelling visual and narrative formats for diverse stakeholders.

Support in the design and writing of EU research proposals, with a strong ability to align scientific concepts into a coherent and compelling narrative.