Innovation in Medical Imaging
ABOUT INGENZI AI
Pioneering the future of medical diagnostics through advanced artificial intelligence
About Us
INGENZI AI is pioneering AI-powered support solutions for biomedical technicians and healthcare facilities across Africa and beyond. We specialize in intelligent troubleshooting, maintenance management, and real-time device communication for medical imaging equipment.
Our platform combines cutting-edge artificial intelligence with multilingual capabilities and offline functionality to ensure reliable medical equipment operation in any environment. We bridge the gap between advanced technology and practical healthcare needs.
Our Mission
"We envision a world where no patient is denied timely diagnosis because of equipment failure."
Our mission is to maximize medical equipment uptime, reduce maintenance cost, and improve healthcare accessibility through innovative technology.
Our Team
Meet the experts revolutionizing medical diagnostics through cutting-edge AI technology
Co-founder & CEO
Bernes L. Atabonfack
AI researcher focused on medical imaging and healthcare innovation. MSc in AI Engineering, Carnegie Mellon University Africa. Leads partnerships, admin tasks, and model optimization.
Co-founder & ML Engineer
Tolulope Olusuyi
Data Scientist and AI Researcher, with research interests spanning medical imaging, artificial intelligence, and biotechnology.
Co-founder & AI-Ops Engineer
Ahmed Issah Tahiru
AI researcher in global health applications. Founder of a UX-focused design agency. MSc in AI Engineering, CMU Africa. Leads LLM-Agent integration, custom tools creation, and UX design.
Co-founder & Software Dev
Mohammed Hardi Abdul Baaki
Experienced ML and computer vision engineer with 5+ years of software development. MSc in AI Engineering, CMU Africa. Leads infrastructure and log ingestion pipeline.
Co-founder & ML Engineer
Clemence Ingabire
AI engineer with hands-on experience in ML systems and data engineering. MSc in AI Engineering, CMU Africa. Leads platform architecture and multilingual data processing.
Co-founder & Software Dev
Kongbi Zion Nfor
Full-stack, web, and mobile developer with over 4 years of experience building modern, cloud-native and AI-powered applications.
Our Advisors
Leadership team providing strategic direction and oversight for our medical AI innovations
Professional Endorsements
Recognition and support from distinguished leaders in technology and healthcare
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Leading research in machine learning and computer vision with over 15 years of academic excellence.
Professor Mary-Anne Hartley
Professor, EPFL School of Computer Science
AI in Healthcare Summit 2024 Geneva, Switzerland
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Leading global health initiatives and technology investments to improve healthcare outcomes worldwide.
Dr. Trevor Mundel
President of Global Health Department at the Gates Foundation
Global Health Innovation Forum Seattle, Washington