Problem
In many parts of the world — especially in regions like sub-Saharan Africa — a cancer diagnosis can come too late, not because the disease was aggressive, but because the system couldn’t catch it in time. You walk into a clinic with a lump or pain that won’t go away, and even if a biopsy is done, there may be no trained pathologist available to review it. Even when there is one, they might be overwhelmed, or the infrastructure might be too weak to support timely diagnosis. Microscopes exist, yes — but they’re often old, disconnected, and completely isolated. The diagnostic process is slow, fragmented, and entirely dependent on the physical presence of one overworked expert. In the meantime, patients wait. Some never get results. Others are diagnosed only when the disease has already done its damage. And what makes it worse is that there are experienced pathologists out there — brilliant people — but they’re not in the room when you need them. What’s missing is speed. What’s missing is collaboration. What’s missing is the ability to see and decide — together — in real time.

Product
That’s exactly where OncoLens steps in. At its core, it’s about transforming something familiar — the microscope — into something powerful, connected, and intelligent. We’ve built a portable diagnostic system that turns standard microscopes into smart, AI-assisted tools. Through a custom lens adapter that works through your mobile phones or through our standalone POS-style slide reader, clinicians can capture slide images using a mobile phone or onboard camera. Once the image is captured, our AI model — trained on thousands of histology samples—analyses the slide in real-time. It highlights patterns, suggests possible diagnoses, and gives the user a deeper layer of insight, right there on the screen.
But that’s just the beginning. OncoLens also includes a web and mobile platform that allows clinicians to invite other pathologists into a diagnosis session — live, from anywhere in the world. They can co-review a case, drop comments, co-sign a report, or escalate for a second opinion. It’s like a virtual pathology lab that fits in your hand, with AI support built into the foundation. It doesn’t replace the human — it multiplies their reach, their speed, and their impact.

Impact & Potential
The ripple effects of this kind of solution are massive — and deeply personal. A frontline doctor can now make a confident diagnosis without waiting weeks. A rural clinic can finally get expert support without having to ship slides across the country. A patient in a remote town can receive a report that’s reviewed not just by one pathologist but by a global community of specialists who collaborate on her case in real-time. And because OncoLens uses AI on the edge and works offline, it’s actually built for where the need is highest — not just in well-funded labs, but in low-resource hospitals, outreach centres, and even mobile diagnostic vans. The hardware is 3D-printable. The platform is lightweight. The impact? Potentially transformative. At scale, we believe OncoLens can help radically reduce diagnostic delays, improve early detection rates, and create a truly collaborative global pathology ecosystem — where no clinician has to diagnose alone and no patient has to wait in the dark.