Data Science and Machine Learning

Fundamental innovation

The core of machine learning is developing a model from data for a specific task or application. Recent progress in this field - particularly in deep learning - is enabling fundamental innovation in virtually all industries. Using machine learning and data science, businesses and other organizations can create value and improve operational efficiency by developing and implementing innovative technology and applications, thereby reducing costs and increasing performance.

Complete lifecycle

Sioux uses state-of-the-art deep learning techniques and tools to build sophisticated algorithms from different types of data. From image analysis, and detection of patterns in sensor data to the extraction of information from textual data. Our scope covers the entire machine learning workflow. We support the complete lifecycle of a model from information extraction to automated integration into a high-tech system. Sioux delivers an end-to-end development process in which we design, create and manage reproducible, testable and tailor-made applications.

Data engineering and pipelines

The realization of total solutions in machine learning requires a wide range of competencies. With our wealth of knowledge in the field of optimization, image analysis and physics Sioux has a unique toolbox to deliver these solutions. In addition, Sioux has enormous expertise in software, mechatronics, and electronics. This gives us the necessary power in the field of data engineering and to build complex data pipelines. It also gives us the ability to integrate models in any environment: cloud, edge or embedded devices. Sioux can develop and implement complete systems and solutions powered by machine learning.