NAITEC Areas of Expertise

Artificial Intelligence & Data Analytics

Artificial Intelligence and Data Analytics are powerful tools for responding to major industry challenges: improving designs, increasing product quality and understanding all factors affecting processes in order to optimise them.
NAITEC has extensive experience in solving complex problems in the industrial sector. Our approach is based on the application of advanced data analysis techniques to uncover hidden information and develop accurate predictive models. We apply advanced methodologies to deliver tailored solutions that increase the efficiency of our projects and our clients.

Make your business more competitive with Artificial Intelligence and Data Analytics

1

IoT Solutions

Make electronics smarter with embedded systems and cloud platforms (AWS and Azure).

  • Cloud Platforms.
  • Embedded AI.
  • Object recognition.

 

In collaboration with our Electronics & ITS Area.

Featured Competitive Projects

MACSI // CAFE2IN // ACADIEMS

2

Digitalization

Improve efficiency and decision-making by optimising different areas of your business.

We develop predictive models, machine learning systems and process automation. We also help you understand what is happening in your business and make better decisions with systems integration and data visualisation.

  • Edge/cloud predictive models
  • Machine Learning

Featured Competitive Projects

MACSI // POIROT // ACADIEMS // REINFORCE

3

Control and robustness

Identify and classify defects in products or processes using computer vision and artificial intelligence techniques.

We analyse time series to ensure quality and performance in various industrial environments.

Featured Competitive Projects

AIROB // TFIPDL // TWIN-ZERO // FUSIPROD // ACADIEMS

4

Connected vehicle

We promote an improved and sustainable urban transport experience by optimising routes, reducing congestion and improving services for users.

We extract patterns and trends that facilitate mobility management through data analysis and artificial intelligence.

Featured Competitive Projects

NaVEAC Drive-Lab Circuito Urbano

5

Zero defects

Optimise your production processes and achieve greater efficiency in the supply chain:

  • Asset location.
  • Traceability.
  • Route prediction.

With artificial vision, predictive maintenance and data analysis.

Featured Competitive Projects

TWIN-ZERO // AIROB

Advanced Methodologies. Tailored Solutions.

Data Mining

In Data Mining, we develop tailor-made methodologies to discover high-quality information hidden in data, using statistical and mathematical techniques.

We help you to extract value from your data (historical records, experimental data, data generated by simulations…).

Machine Learning

With Machine Learning, we look for patterns in data and learn from them to make decisions with minimal human intervention.

We develop predictive models based on historical information to help you anticipate different situations.

Deep Learning

Deep learning is the use of neural networks to solve complex, high-dimensional problems. This discipline focuses on creating artificial intelligence models capable of understanding, representing and making decisions from extremely diverse data, such as images, text or temporal sequences. We leverage deep neural networks to achieve levels of accuracy and generalisability in tasks focused on the processing, detection and classification of defects and anomalies.

MLOps

With MLOps, we manage the entire lifecycle of the models in an agile and automated way, from development and training to implementation and monitoring in production.

This methodology allows us to keep the models up-to-date, improve their performance and adapt them to the changing needs of the industry.

  • Zabalza M, Bernardini A. Super-Resolution of Sentinel-2 Images Using a Spectral Attention Mechanism. Remote Sensing. 2022; 14(12):2890. https://doi.org/10.3390/rs14122890

 

  • M. Ferrero-Jaurrieta et al., “From Restricted Equivalence Functions on $L^{n}$ to Similarity Measures Between Fuzzy Multisets,” in IEEE Transactions on Fuzzy Systems, vol. 31, no. 8, pp. 2709-2721, Aug. 2023, doi: 10.1109/TFUZZ.2023.3235405.

The AI Data and Robotics Association
Featured Publications

  • Zabalza M, Bernardini A. Super-Resolution of Sentinel-2 Images Using a Spectral Attention Mechanism. Remote Sensing. 2022; 14(12):2890. https://doi.org/10.3390/rs14122890

 

  • M. Ferrero-Jaurrieta et al., “From Restricted Equivalence Functions on $L^{n}$ to Similarity Measures Between Fuzzy Multisets,” in IEEE Transactions on Fuzzy Systems, vol. 31, no. 8, pp. 2709-2721, Aug. 2023, doi: 10.1109/TFUZZ.2023.3235405.

Alliances
The AI Data and Robotics Association