This area focuses on cleaning, extracting, and analyzing data to feed Artificial Intelligence or Machine Learning processes. Processing data to make it easily understandable and usable is essential to achieving the outlined objectives.
Machine Learning is a subfield of Artificial Intelligence aimed at enabling 'computers to learn.' Using collected and processed data, we design, build, and train models that allow us to predict future events, classify images, recognize entities in texts, and much more.
We use real-time functional programming languages widely adopted in the market, capable of supporting extremely high levels of concurrency and distribution, resulting in systems that respond quickly under heavy demand.
We are developing fintech solutions, which are new applications, processes, products, or business models in the financial services industry, composed of one or more complementary financial services and made available to the public via the Internet.
We develop web/mobile/desktop applications with various technologies to address the challenges faced by organizations, cooperatives, and companies, enabling them to carry out their processes more efficiently.
We provide technical and/or cooperative training for organizations and cooperatives, aiming to share knowledge acquired in the technological and cooperative fields in an engaging and systematic way.