Problem to Solve
Unique Solution
About the Company
NOMA AI is using advanced machine learning and data techniques to predict medical complications. Starting with postpartum hemorrhage—a leading cause of maternal mortality—their platform analyzes medical data in real-time, enabling lifesaving interventions before traditional indicators appear. In a healthcare landscape where delayed identification of complications leads to preventable tragedies, NOMA AI's proactive approach represents a paradigm shift from reactive treatment to predictive care.
- Gives medical teams time-sensitive assessments that can mean the difference between life and death
- Provides AI analysis of complex medical data that humans might miss
- Focuses on proactive risk mitigation rather than emergency response
Meet the
founding team
Gilles Clermont
Dr. Gilles Clermont is the Co-Founder and Chief Medical Officer of NOMA AI, bringing over 25 years of experience at the intersection of data science, engineering, and clinical research. He is a Professor of Critical Care Medicine, Chemical Engineering, Industrial Engineering, and Mathematics at the University of Pittsburgh, where he has been continuously funded for his research focusing on the design of quantitative physiological system modeling and analysis, diagnostic and predictive analytics of multidomain, multiresolution data in critical care, and clinical decision support systems in critical care environments. Dr. Clermont specializes in leveraging artificial intelligence to enhance patient care and outcomes.
Salim Malakouti
Salim Malakouti is the Co-Founder and CEO of NOMA AI, bringing over 12 years of experience in the research and development of artificial intelligence and machine learning solutions for healthcare. Salim holds a PhD in Computer Science from the University of Pittsburgh and has led multiple past efforts to deploy and integrate AI and software in clinical environments in real time.