Erre Quadro is an Italian company based in Pisa and specialized in technology intelligence. The company supports the innovation process of companies, both at R&D and at strategic level, through a proper analysis of the intellectual property landscape. For this purpose, the company’s scientists have developed dedicated algorithms for the automatic analysis of technical texts, merging a powerful representation of human artefacts coming from years of research in Engineering Design, with the most advanced tools in Computational Linguistic. Likewise important is the team, characterized by a high level of interdisciplinarity; the expertise range from engineering (mechanical, robotics, management) to physics, mathematics, informatics and economics. As a result, the company is able to support his clients in the following tasks:
- Assessment and early detection of emergent technologies;
- Positioning of technologies in the competitive scenario;
- Technology foresight analysis and decision-making support;
- Extensive mapping and deep understanding of complex technologies;
- Identification of lateral threats or opportunities for new partners or new markets;
- Leverage the intellectual property corpus to find white spaces and guide the design process, thus producing better and faster product innovation;
Erre Quadro’s clients are various large enterprises and several SMEs in many technical sectors (automotive, power energy, oil & gas, textile, environment, biomedical, appliances, paper, machinery, packaging, ICT). Additionally, Erre Quadro cooperates with regional and national institutions, management consultancies and patent attorneys to support decision making and foresight processes.
For further information, please visit the company’s website at the following link: http://www.errequadrosrl.com/
In Sparkle Project, Erre Quadro’s main activity is to support the assessment of Precision Agriculture world through a proper analysis of the technological landscape. At this purpose, the company is performing a technology foresight based on two kinds of information sources: patents and scientific literature. The analysis embraces technical solutions in viticulture and arable crops; sectors chosen as the ones where farms are experiencing the most advanced technologies.