At Genexia we combine passion and commitment by reimagining the nexus of human and artificial intelligence to power solutions that deliver real impact, achieve key business objectives, and expand human potential. We deliver quantifiable value through scalable AI that combines the important concepts of accuracy and transparency in a natural way for mission critical applications by means of synergy created between fuzzy rule-based systems and evolutionary algorithms.
Genexia, founded in the summer of 2019, is led by co-founder Dr. Kelly Cohen, a world recognized expert in Fuzzy Logic and Head of Aerospace Engineering at the University of Cincinnati, and his team of experienced, award-winning data scientists focused on creating innovative and scalable solutions for some of the most complex problems in health, insurance, manufacturing, and aerospace.
Our mission is to create quantifiable value by empowering our forward-thinking customers with accurate, explainable solutions that increase operational efficiencies, decrease costs, improve profits and unleash human potential.
At Genexia we believe in imagination, individuality, inclusivity & impact. You dream it, and then we do it-together-reinventing what is possible.
Meet Our founders and team
Our founders and team bring years of technical and business expertise to creating intelligent, scalable solutions to complex problems. Their vision is to empower customers with insightful, assured and powerful predictive analytics, decision-making, visualizations and other capabilities utilizing transparent AI.
Dr. Kelly Cohen, the Brian H. Rowe Endowed Chair in aerospace engineering, has been a faculty member at UC’s College of Engineering and Applied Science, or CEAS, for more than 10 years and currently serves as interim head of the Department of Aerospace Engineering and Engineering Mechanics. His career is marked by achievement in the field of aerospace engineering and education, including the UC Dolly Cohen Award for Excellence in Teaching, the American Institute of Aeronautics and Astronautics Outstanding Technical Contribution Application Award, the CEAS Distinguished Researcher Award and the Greater Cincinnati Consortium of Colleges and Universities Excellence in Teaching Award, among many others.
A successful innovator and entrepreneur with 25 years in domestic and international business leadership, igniting growth and profitability. A passionate advocate of AI technology innovation and studied, meaningful business model re-engineering.
It is both a privilege and exciting to work with the Genexia team that believes in fast-paced, participative and empowered organizational performance to deliver quantifiable value and scalable, best-in-class solutions to each client.
Dr. Sathyan is a Senior Research Associate in the Department of Aerospace Engineering at the University of Cincinnati. A data engineer with years of research experience in machine learning focused on developing genetic fuzzy systems for supervised and reinforcement learning applications. His work focuses on using machine learning tools in robotics, unmanned systems, biomedical and neuroscience. He is the recipient of several awards. His PhD thesis titled “Intelligent Machine Learning Approaches for Aerospace Applications” won the Best Thesis during the years 2017-19 by North American Fuzzy Information Processing Society (NAFIPS).
Javier is a machine learning engineer at Genexia. He is currently a Ph.D. candidate in aerospace engineering at the University of Cincinnati. He has work experience at SATLANTIS Microsatellites and IDOM (involved in projects with NASA and ESA), Aurora Flight Sciences, Boeing, University of Cincinnati, Cambridge University, and as a visiting trainee at the ESA and the European space Security & Education Centre. Recipient of the Best National Research Article, Airport Cooperative Research Program Graduate Research Award, “La Caixa” fellowship award, a letter of recognition by the Royal House of Spain, HH. MM. King Felipe VI, and Professor R. T. Davis Memorial Award for Academic Performance in Computational Sciences. His main research topics are explainable artificial intelligence, genetic fuzzy systems, evolutionary algorithms, and intelligent control.
Joseph Cohen received the B.S. degree in Mechanical Engineering from the University of Michigan, Ann Arbor, MI, USA in 2018. He joined Genexia as a consultant in 2020. He is currently a Ph.D. Candidate in the Department of Mechanical Engineering with the University of Michigan, Ann Arbor, MI, USA. His research interests include prognostics and health management for manufacturing systems, systems-level data analytics, and the application of artificial intelligence techniques to a wide variety of engineering applications.