Problem
National Medicines Regulatory Authorities(NMRAs) across the African content struggle with manual processes, limited human resources and growing backlogs in their licensing and oversight activities. Manual reviews are often time-consuming and sometimes inconsistent. This often causes slow approvals which have a great risk to public health as well as lead to reduced confidence of pharmaceutical manufacturers and importers amongst other key investors in the respective African markets.

Product : AfriMed.AI
AfriMed.AI is an AI-powered solution which integrates seamlessly into national digital health systems used by NMRAs to fulfill their mandates such as registration of pharmaceuticals and medical devices before they are onboarded for use in the markets. The system is an innovation from diverse experience in building regulatory information systems to enhance regulatory capacity and decision making. It enables regulators to:
•	Predicts risks levels of medical products through leveraging of past data and AI models.
•	Flag high risk applications for manual reviews
•	Recommend regulatory actions for product applications based on AI-driven application assessments. AfriMed.AI is able to process an application and provide regulatory decisions such as approval, rejection or deferral decisions.
•	Summarize complex regulatory documents as such as product dossiers to support reviewers and enhance their efficiency.

How AfriMed.AI Works
•	AI Models are trained on African Regulatory Data - We enable context-aware application assessments and application screening by fine tuning models on NMRA data. 
•	Retrieval- Augmented Generation (RAG) - Vector databases are used to power up Knowledge-retrieval engines which work together with Large Language Models to perform comprehensive application analysis and recommendations.
•	Seamless integration - AfriMed.AI integrates into national digital health systems platforms such as Integrated Regulatory Management Information systems which are used by regulators and applicants such as pharmaceutical companies
•	Modular and API-driven - The system utilizes a modular approach, is highly configurable and  scalable thus deployable to any African Country.

Impact 
•    Improved accuracy and Consistency- AfriMed.AI uses a knowledge base to store regulatory guidelines coupled with models tuned on NMRAs data thus each application is reviewed with same precision level reducing interpretation gaps and human oversight errors.
•	Faster application turnarounds -AfriMed.AI validates applications submissions for completeness and accuracy based on NMRAs checklists and guidelines thus faster screening of applications, quicker feedback to applicants and overall reduction in processing timelines of product marketing authorizations.
•	Review support rather than replacement -AfriMed.AI augments regulatory experts by allowing them to focus on what matters the most such as high-risk cases identified by the AI-engine and decision 
