VZN Designs brings a decade of MedTech product leadership — and hands-on AI building — to founders who can't afford an expensive wrong turn. Strategy, roadmap, and regulatory-aware product development, fractionally.
When CB Insights analyzed 431 venture-backed shutdowns, 70% listed running out of cash. But cash runs out because the product missed: poor product-market fit, bad timing, unit economics that never closed.
The information needed to avoid most of these failures existed before the product was built. It lives in customer conversations that never happened, scope that never got cut, and validation that got skipped because building felt like progress.
In health tech, the stakes compound: regulatory pathways, evidence requirements, and clinical workflows punish teams that discover them late.
The most expensive mistake in your startup's life is building the wrong thing. It's also the most preventable — if product discipline shows up before the code does. That's the job I do.
No decks that gather dust. Each engagement produces concrete deliverables — the roadmap, the scope, the audit, the prototype — that your team executes against and your investors can evaluate.
For founders pre-build or mid-pivot who need to know what to build — and what to skip.
You walk away withOutcome: you attack the 43% failure mode before it eats six months of runway.
For funded founders with engineers but no product leadership.
You walk away withOutcome: senior product leadership at a fraction of a $200K+ full-time hire.
For health tech founders heading toward FDA territory — before it heads toward you.
You walk away withOutcome: a failed submission costs 10–100x this audit. Find the gaps while they're cheap.
For founders who want an AI product but can't scope one — or vet the people building it.
You walk away withOutcome: skip months of agency roulette. Leave with something real.
Prices are starting points — final scope is set on a 30-minute call. Not sure which protocol fits? Start with the 2-day Product Diagnostic — $1,500 flat: a founder deep-dive, your product risks ranked, and a recommended path. The fee credits toward any sprint booked within 30 days. Book a consult to start.
MBA, UC BERKELEY HAAS · B.S. BIOENGINEERING · 10 YRS MEDTECH
I've spent a decade taking medical technology from unmet clinical need to global commercialization — surgical robotics, implantable-device software, digital learning platforms. Requirements, design control, usability testing, evidence strategy, go-to-market — the full arc, at companies where a product mistake isn't a pivot, it's a recall.
And I build. Through VZN Designs I ship AI-powered products end-to-end with agentic development pipelines — the same tools your future engineering team will use, run solo. That means when I scope your product, I'm not guessing what's buildable. I've built it.
Fightr is a mobile boxing training app with an AI coach — real-time audio callouts, personality-driven coaching, subscription monetization. Built end-to-end on an agentic pipeline: five specialized AI agents handling build, QA, research, documentation, and debugging.
It's the working proof behind every engagement: modern AI tooling collapses the cost of building — which makes building the right thing the entire game.
I don't just advise on AI products — I build them, solo, on agentic pipelines. This is the working evidence behind the strategy: when I scope your product, I've already built with the tools your team will use.
An AI boxing coach in your pocket — real-time audio callouts, personality-driven coaching, and subscription monetization. Shipped end-to-end by a team of one plus five specialized agents. Full case study above.
An autonomous career & consulting engine that runs headless on a server and is driven entirely from a phone: daily opportunity scans scored against a strategy file, AI-tailored application packages, one-tap publishing, and a full CRM with a cold-lead radar and email follow-ups. A working demonstration of multi-agent systems doing real, daily work.
The development method behind the builds: five specialized AI agents — build, QA, research, documentation, and debugging — orchestrated so a single operator ships production software. It's the same pipeline I stand up inside an AI Product Jumpstart, tuned to a founder's stack.
Digital health, AI product craft, and health equity — how AI can scale high-quality, low-cost care in the US and across Africa. New notes weekly on LinkedIn.
The discipline regulated teams take for granted is exactly what AI builds are missing.
READ ON LINKEDIN → Health equityQuality care where there was no care — that's the economics story worth building for.
READ ON LINKEDIN → Builder's logThe actual architecture behind building production apps as a team of one.
READ ON LINKEDIN →Tell me what you're building. I'll tell you what I see — where the risk is hiding, what I'd validate first, and whether one of my protocols fits. If it's not a match, you still leave with a sharper picture.
Pick a time that works. Calls run on video, 30 minutes, founder-to-builder.
Choose a time →