ABOUT INGENZI TECH
Pioneering the future of medical diagnostics through advanced artificial intelligence
About Us
Ingenzi Tech 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
To empower biomedical technicians and healthcare providers with intelligent, accessible tools that ensure reliable medical equipment operation, reduce downtime, and improve patient outcomes in resource-constrained settings.
We're committed to democratizing advanced medical technology support through AI-driven solutions that work seamlessly across languages, connectivity levels, and technical expertise—making quality healthcare equipment maintenance accessible to all.
Our Team
Meet the experts revolutionizing medical diagnostics through cutting-edge AI technology
Bernes L. Atabonfack
Al researcher focused on medical imaging and healthcare innovation. MSc in Al Engineering, Carnegie Mellon University Africa. Leads part- nerships, admin tasks, and model optimization.
Tolulope Olusuyi
Data Scientist and an Al Researcher, with research interests spanning medi- cal imaging, artificial intelligence, and biotechnology.
Ahmed Issah Tahiru
Al researcher in global health applica- tions. Founder of a UX-focused design agency. MSc in Al Engineering, CMU Africa. Leads LLM-Agent integration, custom tools creation, and UX design.
Mohammed Hardi Abdul Baaki
Experienced ML and computer vision engineer with 5+ years of software development. MSc in Al Engineering, CMU Africa. Leads infrastructure and log ingestion pipeline.
Clemence INGABIRE
Al engineer with hands-on experience in ML systems and data engineering. MSc in AI Engineering, CMU Africa. Leads platform architecture and multi- lingual data processing.
Kongbi Zion Nfor
Full-stack, web, and mobile developer with over 4 years of experience building modern, cloud-native and Al-powered applications.
Our Supervisors
Leadership team providing strategic direction and oversight for our medical AI innovations
Dr. Udunna Anazodo
William Dawson Scholar & Assistant Professor at Montreal Neurological Institute, McGill University
Dr. Maruf Adewole
Medical Physicist, Radiation Safety Consultant, Medical Imaging and AI Researcher, Postdoctoral Research Fellow, University of Pennsylvania.
Raymond Confidence
AI and Medical Imaging Researcher, Western University.
Professional Endorsements
Recognition and support from distinguished leaders in technology and healthcare
Professor Mary-Anne Hartley
Professor, EPFL School of Computer Science
Leading research in machine learning and computer vision with over 15 years of academic excellence.
Dr. Trevor Mundel
President of Global Health Department at the Gates Foundation
Leading global health initiatives and technology investments to improve healthcare outcomes worldwide.