This area is dedicated to the cleaning, extraction and analysis of data in order to feed Artificial Intelligence or Machine Learning processes. It is essential to process the data in order to make it easy to understand, as well as its use to reach the proposed goals.
Machine Learning is a subfield of Artificial Intelligence in which the goal is for computers to learn. From collected and processed data, we design, build and train models that allow us to predict future events, classify images, recognize entities in text and much more.
We use functional programming languages in real time and widely adopted in the market, which support very high levels of concurrency and distribution, producing systems that provide high speed response to high demands.
We are developing fintech, which are new applications, processes, products or business models in the financial services industry composed of one or more complementary financial services that are offered to the public through the Internet.
We provide technical and/or cooperative training for organizations, cooperatives and companies in which we seek to share in a friendly and systematized way the knowledge obtained in the technological and cooperative fields.