AI Innovation Grant

ABOUT THE THE AI INCUBATION GRANT

Background

The Artificial Intelligence in Health Incubation Grant Program  focused on advancing AI-driven health innovations in Uganda. In collaboration with the Science, Technology, and Innovation Secretariat (STI), Marconi Lab, and  Makerere Centre for Artificial Intelligence (MAK-AI), this program supports the commercialization of AI-based health technologies.

Serving as an early-stage business incubator, the program aims to transform AI health-tech innovations, products, and processes into viable, scalable businesses capable of significantly impacting the health sector.

One selected innovator will receive exclusive support, including grant funding, specialized training, technical assistance, and investor-readiness coaching. This initiative empowers entrepreneurs to develop sustainable, impactful ventures in health technology.

Teams

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Our Story

Feyti Limited was founded to address one of the biggest bottlenecks in Africa’s pharmaceutical ecosystem in regulatory compliance. The founders, a team of AI engineers and medical experts with deep pharma and regulatory backgrounds, witnessed how fragmented systems, manual processes, and linguistic diversity caused significant delays in medicine approvals.

Motivated by the urgent need to bridge this gap and ensure faster patient access to safe and effective medicines, they built Aicyclinder the first African-focused AI regulatory platform that empowers pharmaceutical companies to achieve regulatory excellence and improve healthcare outcomes across the continent.

The Challenge

Pharmaceutical companies and health startups across Africa face major delays , costs and errors in regulatory compliance due to fragmented systems, language barriers, and limited regulatory capacity. This slows down approvals and increases costs, ultimately limiting patient access to essential medicines.

The Solution

Aicyclinder is an AI-powered platform that automates CTD dossier preparation, multilingual translation, local literature search, regulatory intelligence, and pharmacovigilance seeking faster, more accurate, and cost-effective regulatory submissions across African markets. Using OpenAI and Gemini AI models with OCR/Vision, generative AI, and data analytics, it is tailored specifically for African regulatory requirements.

The Team

amon nyesigye – director, feyti ltd

Amon Nyesigye

Director, Feyti Ltd

Amon is a software engineer and technology leader with extensive experience in building and scaling digital solutions across Africa. He currently serves as a Director at Feyti Ltd, driving innovation in AI-powered healthcare and regulatory technology.

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Barbara Atukunda

Head of Operations

Barbara is a licensed pharmacist with strong expertise in pharmacovigilance, regulatory compliance, and healthcare operations. She currently serves as Head of Operations at Feyti Ltd, where she oversees process optimization, compliance, and the integration of AI-driven solutions into pharmaceutical and clinical workflows.

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Kansiime Noel

HEAD OF TECHNOLOGY

Noel is a Software Engineer and technology leader with a strong background in Software Management, IT, programming, and artificial intelligence. As Head of Technology at Feyti Ltd, Noel spearheads innovation by leading the design of AI-driven platforms for clinical trials, pharmacovigilance, and regulatory compliance.

What does FEYTI aim for

Long-term vision & goals

Leading AI-first healthtech platform in Africa and beyond

Feyti aims to become the leading AI-first healthtech platform in Africa and beyond, revolutionizing how pharmaceutical companies, regulators, and healthcare providers manage compliance, pharmacovigilance, and clinical trials. By combining deep expertise in healthcare and cutting-edge AI, Feyti envisions a future where regulatory processes are faster, smarter, and more transparent, ultimately accelerating patient access to safe and effective medicines.

We aim to pioneer ethical and transparent use of AI in healthcare, ensuring trust, fairness, and safety in all solutions.

We aim to achieve $30K in Monthly Recurring Revenue (MRR) as a foundation for long-term scalability and global expansion.

Want to collaborate?

Get in touch with Feyti

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Our Story

Phronesis was born from the frustration of seeing preventable stroke-related disabilities and deaths due to delays in radiology reporting. As biomedical engineers, we envisioned a solution that leverages AI to support radiologists, not replace them, by bridging gaps in speed, accuracy, and access. With radiologists onboard as advisors and collaborators, we are building a tool that could redefine healthcare delivery in Africa.

Phronesis is an AI-powered CT scan analysis platform that assists radiologists by detecting medical conditions quickly and accurately. It reduces reporting time from hours to minutes, increases diagnostic accuracy, and ensures hospitals in underserved regions can provide better care.

Our target users are hospitals, radiology centers, and clinicians in Uganda and across Africa.

The Challenge

Early diagnosis is the first step in ensuring the best patient outcome. For evidence-based medicine and conclusive diagnosis, different imaging modalities are relied upon. In Uganda, the most common and readily available modality is the CT scan. The problem is that the number of radiologists is far below the demand, they need assistance for Uganda’s healthcare landscape to tilt towards faster and accurate diagnoses using these imaging modalities.

The Solution

we have created Phronesis after years of accumulating the right data and understanding where AI can fit into the healthcare dream and ensure that when a scan is made, results and an accurate report are instantaneous. We have started with the CT scan, but are already making way into the MRI, Endoscopy, among others.

The Team

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Kwagala Keith Richard

CEO, Phronesis

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Sidney Muhumuza

Head of Research and Development

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Brian Mugume

Head of Operations

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Brian Aliddeki

SOFTWARE DEVELOPER

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Ethel Nagitta

ML Engineer

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Dr. Michael Kateregga

Medical Consultant

What does FEYTI aim for

Long-term vision

To make AI-powered radiology accessible across Africa

Our vision is to make AI-powered radiology accessible across Africa, starting with stroke and infarct detection, and expanding into MRI, ultrasound, and cancer imaging. We aim to be the leading African medtech company driving the Fourth Industrial Revolution in healthcare.

Want to collaborate?

Get in touch with Phronesis

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Our Story

Global Auto Systems LTD was founded with a mission to leverage emerging technologies to solve pressing community challenges while creating meaningful employment opportunities for young innovators. The company believes in the power of digital transformation using artificial intelligence, data analytics, and automation to improve lives and strengthen communities across Africa. Our flagship innovation, ONCIMS, embodies this vision. It was designed as a comprehensive digital ecosystem that integrates health data management, analytics, and community engagement to improve access, coordination, and outcomes in care in Uganda.

Within OMCIMS, the ONCIMS+ and CanInfoHub modules were developed to specifically address the growing burden of cancer. The motivation for their creation arose from witnessing the challenges of fragmented cancer data, misinformation, and limited patient support systems in low-resource settings. By integrating AI-driven oncology data management (ONCIMS+) with localized education, crowdfunding, and social networking (CanInfoHub), Global Auto systems aims to empower clinicians, patients, and policymakers with real-time insights, knowledge, and connections that advance equitable, data-informed cancer care across Africa

The Challenge

Cancer care in many low- and middle-income countries (LMICs) is hindered by fragmented information systems, limited cancer registries, and poor tracking of treatment outcomes. This disorganization prevents clinicians, policymakers, and researchers from making data-driven decisions. Beyond clinical issues, misinformation about cancer is widespread due to the lack of reliable local information. Patients also face financial and emotional hardships, with no centralized crowdfunding platforms or structured support networks for patients, survivors, and caregivers.

The Solution

The ONCIMS+ module digitizes and streamlines the entire oncology workflow, from patient registration and cancer staging to treatment planning, chemotherapy management, and outcome tracking. It integrates artificial intelligence (AI) and machine learning (ML) algorithms to analyze patient data, predict treatment responses, identify risk patterns, and support clinicians with data-driven recommendations for personalized cancer care. The system continuously learns from aggregated clinical data to enhance diagnostic accuracy, optimize treatment protocols, and improve patient survival outcomes.

The Team

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Dr Wasswa William

CEO

Dr Wasswa William is a Biomedical Engineer with expertise in Artificial Intelligence (AI) and medical image analysis. His research focuses on developing AI models for cancer diagnosis, designing low-cost medical technologies, and contributing to AI policy development in Africa. He serves as the Project Principal Investigator (PI) and leads the AI Development Team.

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Dr Richard Kimera

Director, Research & Development

Dr Richard Kimera is an Information Technology specialist whose research spans Natural Language Processing (NLP), multilingual Neural Machine Translation (NMT) for low-resource languages, clinical text generation, and AI applications in maternal and public health. He leads the Machine Learning and Chatbot Development Team.

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Mr Mugonza Robert

Mugonza Robert

Mr Mugonza Robert is a Computer Scientist specialising in cloud computing, data science, biomedical modelling and analysis, and the software engineering lifecycle. He serves as the Lead Developer for the CanInfoHub Module.

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Mr Joseph Ezati

Senior Software Engineer

Mr Joseph Ezati is a Senior Software Developer with extensive expertise in software programming, AI integration, and modern coding frameworks. With years of backend development experience, he serves as the project’s Lead Software Developer.

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Mr Edwin Nahabwe

MD & Senior Software Enginee

Mr Edwin Nahabwe is a Senior Software and Cloud Engineer with advanced skills in mobile and web application development, cloud computing, system deployment, and API interoperability. He leads Platform Deployment, Full-Stack Development, DevOps, and Version Control.

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Mr Brian Musaazi

Accounts Assistant Officer

Mr Brian Musaazi is an Accountant and Web Developer with solid experience in business finance, project administration, and digital design. Passionate about front-end development, finance and accounts, he serves as the project’s Finance Officer.

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MR. Moses Sempuuma

Junior Software Developer

Mr Moses Sempuuma is a Software Developer with expertise in software development life cycles, front-end frameworks, and API integration. He serves as the Front-End Lead Developer.

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Maureen Ndibarekera

Administrator & BI Analyst

Ms Maureen Ndibarekera is a Senior Data Scientist with extensive expertise in data curation, analysis, and management. She also has experience in web systems development, business marketing, and project management, and serves as the project’s Lead Data Manager.

What does FEYTI aim for

Long-term vision

To become the leading provider of digital oncology solutions in Africa

To become the leading provider of digital oncology solutions in Africa, recognised for innovation, impact, and excellence, by 2032.

Want to collaborate?

Get in touch with ONCIMS

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