EMPOWERING KNOWLEDGE WITH DATA
OUR TECHNOLOGY
01 / OVERVIEW
Studying how parts of a system give rise to the collective behaviors of the whole, measuring its costs and benefits. Unifying concepts with not only one scientific field to develop tools in health care problems.
02 / WHY
Problems in health care that are difficult to solve are often hard to understand because the causes and effects are not obviously related. Our answer is providing mathematical tools and computer based for describing, modeling or simulating these systems.
03 / APPROACHES
Rising costs, bad resources allocation, and low quality in healthcare reflect problems with system organization. Ageha's healthcare researchers focus on improving the structure of provider organizations: how to lower costs, improve preventative medicine, include new technologies and enhance patient care.
Southern Software
OUR STORY
Cutting across all traditional disciplines of science, as well as engineering, management, and medicine. We were born from all this. Science from different fields to emerge a new concept to deliver the best risk x return ratio.
OUR VISION
It goes beyond the traditional, reductionist approach of focusing on the parts of a system, integrating the network of relationships within and between systems. Using the "emergent" behaviors we see in all physical, biological, social, economic and technological fields for a better understanding of the problem.
OUR TECHNOLOGY
We develop mathematical approaches and apply them to issues such as improving the return over time even under extreme conditions. We combine a quantitative foundation in physics, computer science and mathematics with numerical simulations and high dimensional data analysis to describe the behavior of real world patterns.
SERVICES
Southen Software is a scientific driven software developer firm that employs mathematical approaches and concepts of the so called artificial intelligence in the design and execution of its investment programs. We apply neural networks, which are a type of machine learning algorithm, that can be used to analyze and make predictions on investment data. They are designed to mimic the structure and function of the human brain, which allows them to learn and adapt to patterns and trends in data.
In the context of investments, neural networks can be trained on historical market data to identify patterns and make predictions about future market movements. Our job is to apply all this to your investments.