Innovation: Our Engine for Growth
At Simetria, we strive to be a national benchmark in construction, infrastructure development, and service delivery. To drive our growth, our primary engine is innovation, which is applied to our operations through a global strategy that is cross-cutting across all companies and levels of the Group.
To manage this intangible asset, we created Simetria Innovación, a company exclusively dedicated to managing the Group’s innovation. It is supported by a team of 14 professionals specialised in developing R&D&I projects. Through this company, we foster knowledge, creativity, and skill development, ensuring our team is capable of delivering innovative, sustainable, and efficient solutions.
Certified Innovation Strategies
The implementation of our R&D&I Management System, based on the UNE 166002 standard, allows us to certify that our business strategies are focused on innovation and that we are able to offer the most sustainable solutions and infrastructure to our clients.
In this area, our research and development lines are focused on improving process efficiency, optimising waste management, and developing new materials.
Digital Transformation: A Fundamental Pillar
The digital transformation of processes and services is a key objective for Simetria. To achieve this, Simetria Innovación centralises all new technology developments across the various business areas, enabling efficient, data-driven management.
We develop and implement cutting-edge Artificial Intelligence solutions for sectors such as predictive maintenance and computer vision. With our experience and expert team in data science and machine learning, we have transformed how our Group companies address the challenges of maintenance and process optimisation.
Our advanced, tailored solutions enable increased operational efficiency within our processes and support strategic decision-making.
Developed Projects: Viafis (CDTI), Pav-Dt (H2020), Segurdron i DIADRON (Red.es).
The VIAFIS project consists of a comprehensive, innovative, and cost-effective system for the auscultation (inspection) and diagnosis of road conservation status.
This system is developed using the following techniques:
A new inertial solution for achieving complete and advanced real-time auscultation of pavement quality and deterioration status.
The project’s objective was the development of a domestic security device for drone detection that does not require the emission of electromagnetic waves.
The use of deep learning methodologies and Artificial Intelligence for the development of a drone localisation, inhibition, and control system.
