Real-time processing with optimized architectures (YOLO, Visual Transformers) for video and image analysis in critical contexts.

Use of Large Language Models and Visual Language Models to understand complex contexts and interpret images, videos, and sounds with maximum accuracy.

Specialized intelligent agents, combining Retrieval-Augmented Generation (RAG) with decision automation, offering contextual analysis and intelligent reporting.

Hybrid architecture that ensures low latency and data security, whether on edge devices or in a scalable cloud.

As partners of the NVIDIA Inception Program, we utilize cutting-edge GPUs and SDKs like DeepStream and TensorRT, accelerating our computer vision and generative AI applications.

Continuous facial recognition models, environmental interpretation via VLMs, and real-time detection of suspicious behavior.

Development of intelligent rule engines that parameterize alerts for critical situations such as anomalous movements, noise, and speech patterns.

Research into architectures that combine edge devices with cloud pipelines, balancing performance and security.

Use of Visual Language Models for analyzing the test execution environment, auditing inspections, and validating sensitive processes.

We maintain strategic partnerships and constantly explore new libraries and benchmarks in NLP, CV, and AI Agents, ensuring true innovation applied to our products.