Machine learning and deep learning enable computers to learn from data and improve their performance over time, creating systems that can recognize patterns, make predictions, and adapt to new situations. At VRAIN, our research in this domain focuses particularly on visual artificial intelligence, deep neural networks, and advanced perception systems.

Our work encompasses computer vision for image and video analysis, multimodal interaction systems that combine visual, audio, and textual information, and immersive technologies including virtual reality (VR), augmented reality (AR), and extended reality (XR). We develop neural network-based models for speech recognition and synthesis across multiple languages (including Spanish, Valencian, English, German, Portuguese, Italian, Dutch, French, and Slovenian), as well as explainable AI systems that help users understand model decisions and trust automated recommendations. We also provide data mining and analysis services, customer segmentation tools, and recommendation systems that personalize user experiences.

These technologies power applications ranging from intelligent tutoring systems and serious games to customer segmentation tools and AI evaluation frameworks that ensure model quality and reliability.