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The HUMATH brand Working for Humans, Thinking From Science
In classes 09, 10, and 42 of the Nice International Classification, filed under application No. SD2021/0072917

HuMath is a human‑centered mathematical and technological framework and spin‑off initiative from Universidad EAFIT that develops artificial intelligence, robotics, and analytics solutions to support decision‑making in sectors such as health, engineering, and education.

Concept and purpose

HuMath is described as a project and later a spin‑off composed of engineers and researchers who use diverse data sources and mathematical models to build AI‑based systems, including emotion recognition, human–robot interaction, and decision‑support tools. Its guiding idea is to place humans at the center of mathematical and technological design, aligning with the motto “Working for HumanS, Thinking From Science” associated with the HuMath brand.

Technological focus

The initiative develops advanced analytics, machine learning, and robotics applications, for example new polygraph systems that combine physiological signals and image‑based micro‑expression analysis, and tools to evaluate learning methodologies through gesture and attention analysis. HuMath Curie, one of its projects, applies artificial intelligence to clinical decision‑making in respiratory care units, emphasizing reliable, data‑driven medical support.

Olga Lucía Quintero Montoya’s role

Event and project descriptions list Olga Lucía Quintero Montoya as part of the HuMath team, presenting “HuMath: human‑centered mathematics” in academic and educational AI forums. In these contexts, HuMath is framed as a methodology to navigate multiple dimensions and layers of complex socio‑technical systems, linking mathematical modeling with ethical, human‑focused AI practice.

Development of solutions for supervision, control, acquisition, analysis, and assimilation of data through specialized hardware and software that integrate artificial intelligence algorithms and first-principles mathematical models to preprocess, model, process, and postprocess data in tropospheric, stratospheric, and orbital environments, optimizing decision-making

Self-control and Integrated Risk Management systems that implement the requirements of the regulations in force at the time of development and that automate data processing, based on the information provided by each user company, performing an analysis of the company’s exposure to risks through software modules trained with artificial intelligence for process automation, which serve as decision-support tools for compliance officers and organizations, and allow the updating of counterparties’ information and the generation of the risk matrix.

Development of penetration testing and continuous vulnerability monitoring services that
combine certified ethical hacking with automated scanning to identify, prioritize, and
remediate security weaknesses across networks, web, and mobile applications, supporting
organizations in meeting national and international information-security compliance
requirements.

Development of digital health solutions based on artificial intelligence and intelligent biomedicine for the acquisition, processing, and analysis of biological and psychological signals. These solutions integrate advanced mathematical models and machine learning for the identification, monitoring, and prediction of patterns in biomedical data