Our Entrepreneurs: Isaac Ng


Welcome to #OurEntrepreneurs, a series where we meet our innovators and uncover what inspired them to create change. Today, we’re delighted to introduce Isaac Ng, joining us from King’s College London.

I am a King’s medical student, epidemiology researcher, edtech founder and GMC Education Visitor Associate. I returned to my Bachelor of Medicine, Bachelor of Surgery after an MPhil in Population Health Sciences at Cambridge, where I studied emergency department crowding and patient harm. Alongside clinical training, I work with the GMC on education governance and the assurance of medical schools.

I co lead qVault.ai and founded AlphaMED, a medical admissions education company with a 93% medical school offer rate. My work sits at the intersection of epidemiology, data, AI, edtech and governance, with a focus on building better systems for how people learn, progress and are assessed.

Isaac Ng Headshot

qVault.ai is backed by King’s College London and built as an end‑to‑end AI education and learning intelligence platform. We are building an integrated product suite for students, educators and institutions, bringing together AI study tools, question practice, revision support, learning analytics, psychometrics and institutional assessment authoring (e.g. Single-Best-Answers).

qVault is a deployed platform, securing more than £40k in cumulative King’s funding, including College Teaching Funds and SPARK Innovation Fund support, and generated more than 1.3m recorded interactions. The programme has received the Student Partnership Impact Award, been recognised through the King’s Experience Research Awards, and produced journal articles and international conference proceedings.

We are now moving into qVault’s next phase: pilot expansion across modules, faculties and prospective partner universities. The ambition is to establish qVault as infrastructure connecting AI supported learning, educational data analytics and institutional decision making.

The NHS depends on education systems that can show whether future clinicians are developing the knowledge, judgement and awareness required for safe practice. Yet a mark or correct answer only provides part of that picture.

AI has made this challenge more urgent. Students now have powerful support throughout their learning, while institutions need better ways to understand what teaching is achieving, where students need support and how curriculum quality can improve.

qVault gives students useful feedback, gives educators a clearer view of their cohorts, and gives institutions stronger data for educational governance in an AI rich environment.

I heard about the NHS Clinical Entrepreneur Programme through King’s networks and previous cohort members. I applied because I wanted to be around clinicians who build things rather than just talk about them. The most interesting problems in healthcare are structural, not clinical, and they are rarely solved by people who only do clinical work. I’m looking forward to learning how others move innovations through the NHS without losing momentum.

For me, the value lies in connections and credibility. The work speaks for itself once people see it, but getting the right people to look is the hardest part when you are still a student. The programme opens doors that would otherwise take years to find.

My ambition is to turn qVault into a serious platform for AI enabled learning, educational analytics and institutional decision making across healthcare education, and to continue my work at AlphaMED to assist aspiring international students to get into medical schools.

Healthcare cannot rely on systems designed for a different world. AI, workforce pressures and rising expectations of quality are changing how people learn, work and demonstrate performance.

Innovation matters when it gives people better information and better ways to act on it. For qVault, that means helping students learn more effectively, helping educators understand their cohorts, and helping institutions develop the future healthcare workforce with stronger evidence.


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