RxAll is a deep learning-hyperspectral
IoT Platform for Authenticating Drugs.
Our platform uses a proprietary molecular sensor device with a cloud-based IP-protected deep learning algorithm and database of spectral signatures of drugs- both prescription and recreational- to carry out non-destructive drug authentication.
We work with drug regulators and other stakeholders to reduce branded drug counterfeiting and ensure that patients receive high quality authenticated drugs. Pharma manufacturers increase sales and patients have better access to high quality drugs.
We are expanding our business in Southeast Asia, Africa and the Americas. We are currently operational in USA, Canada, China, Myanmar, Ethiopia, Kenya, Uganda, Gambia, Ghana and Nigeria.
Users will find RxAll’s technology unique as it aims to assure the quality of drugs delivered to patients across the world.
Download the RxScanner App on IoS here
Download the RxScanner App on Android here
Managing Director, Yale Entrepreneurial Institute
The RxAll team is motivated to make an impact, they are continuing to build their business case and have made terrific progress in creating a new platform that pharmacies in Africa want to use.
Adebayo is a pharmacist and market development professional with a business degree from Yale. He has 10+years in market development and strategy consulting across Africa working with BCG, BASF, Roche and Sanofi.
Ankur is a graduate of the Yale School of Management’s Executive MBA program at Yale and holds a Bachelor of Engineering degree with focus on Computer Engineering from India. As a technical leader, he has a proven track record in delivering solutions in the Internet, Health, IoT, Big Data and eCommerce space.
Amy is a graduate of the Yale School of Management MBA program and holds a Bachelor of Science degree from Carnegie Mellon University. She has +5 years of management consulting experience with global pharmaceutical companies in New York and Asia, and has a strong focus on go-to-market strategy in emerging markets.
Chief Data Scientist
Mads is a data scientist with experience within applied machine learning, with specialty in modelling chemistry and spectroscopy. Mads holds a masters degree in Food Science and Technology from the University of Copenhagen.
Wei is a PhD. in Biophysical Chemistry at Yale with technical expertise in interface/surface chemistry and analytical spectroscopy. Has development experience building molecular sensor algorithms and developing big data platforms for spectroscopy based research.