Machine Learning & Generative AI
In Artificial Intelligence, Machine Learning technologies enable us to design algorithms and systems capable of improving their performance through experience. Whether through supervised learning with annotated data, semi-supervised approaches, or even unsupervised methods—without prior labels—these techniques allow us to extract patterns and generate high-value models. In addition, strategies such as Reinforcement Learning and Deep Learning with deep neural networks have significantly expanded our ability to tackle complex problems. Today, however, the emergence of generative AI is radically transforming traditional paradigms. Models capable of creating text, images, videos, code, or simulations are opening up new ways to automate processes, enhance creativity, and accelerate innovation. The combination of classical machine learning with generative models enables the development of more flexible, adaptive solutions that are closer to human reasoning. At Vicomtech, we focus precisely on researching and integrating these capabilities to solve real business problems, anticipate needs, and deliver intelligent tools that expand what was possible just a few years ago.
Generative AI
Generative AI is evolving beyond large language models and, at Vicomtech, we are driving this transition towards genuinely multimodal solutions. Our approach combines text, images, video, voice, industrial signals, and sensory data to create systems that not only understand the world but also act upon it. Through advanced paradigms such as Visual Language Action Models, we develop technologies capable of interpreting complex environments, making decisions, and executing actions by integrating expert knowledge with generative capabilities.
This enables us to deliver solutions across industries such as Industry, Oil & Gas, healthcare, transport, cybersecurity, energy, critical infrastructure monitoring, services, communication and language, and Internet & Media, where the simultaneous understanding of multiple modalities is key. In doing so, we go beyond the limits of traditional LLMs and build models that provide contextual intelligence, operational capabilities, and tangible impact on our clients’ real-world processes.
Machine Learning Enriches Other Key Technologies
Machine Learning technologies have a direct relationship and give an enormous boost to other fundamental technologies at Vicomtech. For example, they are applied in Computer Vision for problems such as the classification of industrial defects, the prediction of dangerous situations in autonomous driving and analysis of cancer images. They are also applied in Data Intelligence to extract valuable information and findings, such as predictions based on data from machinery and industrial production sensors. Or, for example, in Speech, Dialogue and Natural Language Processing, they allow the improvement of transcription and translation systems at previously unknown levels. Machine Learning is an enabler in multiple technologies and sectors.
A couple of examples
A couple of examples will help demonstrate the applicability of Machine Learning. We have helped a large electronics company to develop Augmented Reality stations so that their operators can assemble tens of thousands of electronic components with a system which automatically learns from a few examples. We have provided a world leader in the automotive sector with a system supported by Machine Learning for the semi-automatic annotation of huge amounts of video to prepare its autonomous driving systems. We have helped a continuous process industry predict and anticipate faults in their production, based on data from their sensors and control systems, with very significant savings. These are just a few examples among many showing the relevance and applicability of Machine Learning.
Success Story
- Publications
- Noteworthy Projects
Looking for support for your next project? Contact us, we are looking forward to helping you.
