Our combined knowledge in applied electronics and artificial intelligence allows us a particularly efficient approach to machine learning with soft computing and deep learning to solve problems with incomplete and inaccurate information.
Applying machine learning and big data to valorize large volumes of information to facilitate its exploitation as structured information.
Developing proprietary algorithms adapted to each purpose, including critical machine maintenance prediction systems, pattern detection and deep learning systems.
In addition, we can also incorporate Distributed ledger technology (DLT) and blockchain.
Developing decision support systems based on data from the different IoT layers, from edge, fog to cloud, and incorporating cybersecurity in IoT.
Complementarily, we can use hybrid algorithms that combine expert systems and case-based reasoning (CBR).
Incorporate quantum computing into artificial intelligence developments, or new GreenAI approaches to reduce energy consumption in algorithm processing.
We offer data analysis services and development of customized algorithms, with the objective of optimizing processes and making predictions.
Through the selection and clustering of data for analysis and systems modeling.
With the experience of more than 15 years in R+D+i projects improving the processes of a wide range of companies throughout the national territory.
Applying knowledge and experience successfully in different industrial sectors, highlighting industrial IoT systems, machine-to-machine (M2M) communication, predictive maintenance, smart cities, social computing, and Blockchain to offer advanced solutions that allow companies to optimize their processes and improve their performance.
