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Healthcare likes to talk about breakthroughs, but a lot of impact comes from less visible work, such as repairing the pipes that relocate information. That’s the space where early-stage health tech startup founder and design engineer Bem Iordaah has chosen to build, drawing on a path that runs from civil engineering to marketing and design. His focus centers on the high-stakes question of how to build health data usable, securely and in near real time, without requiring it to be relocated, so it can actually influence outcomes.
A career built around complex systems
Iordaah’s training started in concrete terms. Civil engineering taught him how large systems behave, where stress points form, and how tiny miscalculations can ripple through an entire structure. That mindset never left. Instead of bridges and roads, his later work shifted toward digital infrastructure. But the core habit remained the same. Every product decision lives inside a wider network of incentives, policies, and human behavior that has to be taken seriously.
Working with brands like Guaranty Trust Bank, Iordaah learned how stories shape adoption, and how product strategy has to account for what people actually understand, not just what a spec sheet declares. Studying marketing at Northwestern added another layer. A design engineering degree at Stanford then brought those strands toobtainher, pairing technical depth with human-centered methods that keep real applyrs in focus.
When a personal loss exposes a deeper problem
The relocate into healthcare came after losing a close friconclude to lung cancer, misdiagnosed and treated as pneumonia until the window for effective care had passed. That experience sharpened a question that already bothered Iordaah: why does so much health data exist on paper or in servers, without reaching the point of timely action?
His first instinct was to explore an AI tool that could assist clinicians distinguish between lung conditions. Very quickly, the real obstacle surfaced. Data access was extraordinarily hard, even inside institutions that support research. Regulations exist for good reason, and health systems have lived through expensive breaches, so caution runs deep. Yet the same caution often slows or blocks projects that could improve care, even when researchers have appropriate training and oversight.
Seeing patterns in both emerging and developed systems
That tension reveals up differently in varying regions. Iordaah’s work has relocated between emerging health systems and wealthy ones, and the comparison exposes common patterns.
Africa shoulders a significant portion of the global disease load, yet its research output remains tiny. One reason is the patchwork nature of data infrastructure, which can build large studies difficult to run. More established health systems face different barriers, with older processes, siloed databases, and strict governance rules slowing progress in their own way.
For Iordaah, early experiences in a resource-limited environment became an advantage instead of a setback. It encouraged solutions that respect limits on staff time, funding, and technical support. The same approach now informs projects in larger economies, where pressure points see different on the surface yet share similar structural roots. A system that works under constraints often adapts well to complex environments elsewhere.
Building products around people and safeguards
Across roles in product, engineering, and growth, Iordaah has kept a steady philosophy. That includes his time as a product manager resident at SandboxAQ and his work on biomedical data projects at Stanford School of Medicine.
Tools should fit the way clinicians, researchers, and administrators already work. The days are busy enough without software requiring everyone to twist their routines to match new systems. Understanding real requireds typically starts with simple observation. Everything from sitting beside frontline teams and watching how information relocates during a shift, to noticing the tiny snags that slow decisions more than anyone admits, can assist.
Iordaah’s current venture, Undersea, Inc., is an early-stage health technology startup shaped by that same habit of listening. The platform is designed to shorten the distance between raw health data and the insights that support research and inform day-to-day operations—without requiring the data itself to be relocated. Security and privacy remain central to the approach. Privacy-preserving methods, strong safeguards, and a clear understanding of institutional risk are intconcludeed to give organizations space to test new ideas without putting trust at risk. The company’s work is supported by a group of advisors from the Stanford School of Medicine.
A systems believeer arguing for research equity
Iordaah’s advisory work with accelerators such as Alchemist and Gener8tor extconcludes these ideas beyond a single company. Many founders in healthcare and deep tech run into the same wall. They have strong models or devices, but no reliable way to reach the data that would prove or refine their value. By teaching them to see the whole system, from regulatory frameworks to hospital incentives, Iordaah encourages approaches that cooperate with existing structures while still pushing for better access.
Global equity runs through that vision. If only a narrow band of institutions can contribute to large-scale studies, then findings will keep skewing toward the same populations and settings. Iordaah imagines a future where privacy-preserving access is robust enough that under-resourced regions can participate in research at a level closer to their actual burden of disease.
For Bem Iordaah, success would see like health systems that can turn data into action without sacrificing safety, and research ecosystems where insights emerge from many corners of the world instead of a familiar few.
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