When a company returns to a competition it has entered before, two things can be true: the competition has not changed, and the company has. NURRAD entered the Hult Prize On-Campus Competition at Landmark University on January 24, 2026 as a company that had spent the intervening period building — not preparing to build, but building. The platform that the team presented on that stage was not a prototype or a concept. It was a working, evolved product with measurable AI performance, a functioning report generation engine, a live community platform, and a roster of industry advisers that no early-stage company assembles by accident.
The result: NURRAD won. Outright. First place.
This is the story of that day, and of everything that made it possible.
The Context: What This Competition Represents
The Hult Prize On-Campus Competition is the entry point of the Hult Prize journey. It is held at universities worldwide and determines which team from each institution advances to the national and regional rounds. Winning on-campus is not the end of the Hult Prize road, it is the beginning.
For NURRAD, January 2026 was not the first time the company stood on this stage. The team that would become NURRAD, then operating under a different name and with an earlier-stage took third place in the 2024 on-campus round. The rebuilt, renamed, and restructured NURRAD team placed second in 2025. On January 24, 2026, they won.
This trajectory matters. It is not a story of luck or of repeated attempts at the same pitch. It is a story of a company that has systematically improved its product, its team, its advisers, and its understanding of the market, and of a competition that, each year, reflected that growth back accurately.
A Company That Has Grown Since 2025
The Product Has Evolved
The NURRAD presented at the 2026 on-campus competition was a more mature version of what debuted at the 2025 Nationals. Several dimensions of the platform had advanced:
The AI Analysis module now demonstrates real GradCAM++ (Gradient-weighted Class Activation Mapping) performance — a technically sophisticated visualization method that highlights precisely which regions of a medical image the AI is using to form its conclusions. This is not a simulated output. It is a working computer vision system that interprets chest X-rays and other medical images with annotated accuracy. The AI now rapidly interprets uploaded scans, highlighting key findings, supporting diagnosis, and assisting radiologists with timely, accurate reporting.
The Report Generation module had evolved into a full, structured clinical workflow, with a DICOM-compatible case viewer, a prompt-based report builder, and an auto-generated report format that follows clinical standards, including findings, impressions, and recommendations. The report is built for the radiologist to review and approve, not to replace. It is a tool that multiplies what a radiologist can do, not one that circumvents their judgment.
The Community Platform had developed a live web presence — described as "a hub for bold minds reimagining radiology through AI," with functionality for radiologists and clinicians to share cases, insights, and best practices. This is the layer of the platform that extends beyond the individual hospital and begins to build the network effects that make NURRAD's long-term value defensible.
The Advisory Board Has Deepened
NURRAD's 2026 advisory board reflected deliberate investment in clinical credibility. The advisers include:
- Dr. Emmanuel Nwokorie — PhD in Nuclear and Radiation Physics; CEO of Fezika Logistics Limited; former Chief Radiographer at Garki Hospital, Abuja. A direct practitioner with decades in the very system NURRAD is modernizing.
- Dr. Nwajiugo Godwin — Medical Researcher with a radio-oncology residency. Clinical depth at the intersection of radiology and oncology.
- Dr. Zimuzo Onah — Medical Doctor, Clinical Researcher, and specialist in Radiation Medicine. A practitioner who works at the clinical front line.
- Chinyere Eni — Radiographer specializing in Medical Imaging. Ground-level insight into how imaging workflows actually operate in Nigerian healthcare settings.
This is not an advisory board assembled for optics. These are professionals who understand, from direct clinical experience, exactly what is broken in Nigerian radiology, and who chose to align with NURRAD because they believe the platform addresses it correctly.
The Partnerships Have Expanded
NURRAD's 2026 deck also formalized partnerships with MEDRAYS and Fezika Logistics Limited — partnerships designed to enhance the company's AI infrastructure, its reach into institutional healthcare markets, and its customer experience. These are not affiliate relationships. They are strategic alignments that extend what NURRAD can deliver to hospitals and government health bodies.
What We Presented: The Platform, Live
The 2026 on-campus pitch followed the same structural philosophy as the 2025 Nationals pitch: all four members of the team — CEO Exalted Joseph, COO David Nkaha, CPO Oluwapelumi Adigun, and CTO John Alex presented their respective domains.
The problem statement was anchored in the same three realities: 2–4 day turnaround times, a 1:658,000 radiologist-to-patient ratio, and 64% image accuracy. Realities that had not changed between 2025 and 2026, underscoring that NURRAD is solving a durable structural problem, not a passing market inefficiency.
But the solution section was substantively different. In 2025, the team presented a platform architecture. In 2026, the team presented a working product, with live AI output and a functioning report builder.
The pitch also demonstrated that NURRAD's financial model had been stress-tested. The on-campus 2026 projections showed a path to 180 hospitals live by Year 4, with a 47% margin built on a flexible pricing architecture that ranges from a pay-as-you-go Basic Plan, through Mid-Plan tiers, to Enterprise Plans for institutional deployments.
What the Win Unlocks: Nigeria Nationals 2026
Winning the Hult Prize On-Campus Competition at Landmark University means NURRAD advances to the Hult Prize Nigeria Nationals 2026. This year's competition includes a virtual preliminary stage before the in-person nationals, an additional layer of evaluation that NURRAD is prepared for.
The 2026 Nationals will pit NURRAD against the best from every competing university in Nigeria. Having placed 1st Runner-Up nationally in 2025, the team returns not as newcomers, but as a company that has already stood on the national stage, and grown substantially since.
From On-Campus to Africa
The Hult Prize journey is one thread of NURRAD's story an important one, because external competition stages are among the few environments where a startup's credibility is tested by people with no prior investment in the outcome. NURRAD has now earned the only standing ovation at a national stage, a TEDx platform under the theme of Catalyst, and an on-campus championship.
But the competition is not the mission.
The mission is the 125+ hospitals across Nigeria that NURRAD intends to reach within three years of launch. It is the 4,000+ misdiagnosed cases that better AI-assisted radiology will prevent. It is the $3.5 million that a more efficient diagnostic system will return to Nigeria's healthcare economy. It is the continent under-served by global radiology AI platforms that were not built for African data, African infrastructure, or African pricing, that NURRAD is building for.
NURRAD's AI is trained on local data. A model that has learned from the imaging data of Nigerian patients will perform better on Nigerian patients. This is a technical reality, and it is central to why NURRAD exists.
The platform is live. The wait-list is open (Join now). The team is in place. The advisers are aligned. The partnerships are active. And the Hult Prize Nigeria Nationals 2026 is ahead.
We are just getting started.
