Philosophy

I'm an AI product leader who has spent 14 years building and scaling digital health products—from founding pioneering tele-cardiology platforms to leading AI adoption at Fortune 500 companies.

My path into technology wasn't straightforward. I started in medicine, training with some of the top physicians in Europe. That clinical foundation taught me how to think about decisions where mistakes have lasting consequences—a discipline that shaped everything that followed. I transitioned into technology as a systems analyst, bridging clinical insight with technical execution.

At Care Remote, I founded one of the first on-demand tele-cardiology platforms, delivering over 10,000 virtual diagnostics and achieving 45% year-over-year growth. We mentored emerging digital health companies like AliveCor during the early wave of consumer health tech. I also co-developed an advanced textile wearable that restored blood flow to the lower limb and worked on the development and intellectual property for a treatment for non-melanomatous skin cancer.

At Genentech, I led AI and wearable initiatives that achieved company-wide adoption in decentralized clinical trials. We reduced trial timelines by 11%, built HIPAA/GDPR-compliant data platforms that improved operational efficiency by 25%, and became the bridge between clinical teams, data scientists, and regulatory requirements—making AI work in one of the most regulated, high-stakes environments in healthcare.

At Indeed, I rebuilt ML-powered matching for over 900 million users. We improved system retention, reduced operational friction by 21 hours per week, and defined a go-to-market strategy for AI services across the enterprise. The scale was different from healthcare, but the challenge was the same: make AI work in production, not just in demos.

At Yuuki, I did it from zero. I founded the company, built a 7-person AI and engineering team, and scaled AI-enabled health services to $5M in revenue within 7 months—achieving 37% client adoption growth and exceeding market penetration goals by 20%. We launched a 5G AI platform projected at $3M ARR and expanded into 3 new markets. I've lived the entire journey: fundraising, team building, go-to-market strategy, regulatory navigation, and scaling under pressure.

Across these experiences—from pioneering tele-cardiology to scaling enterprise AI—I recognized a pattern.

The most expensive failures weren't technical failures. They were failures of judgment. Decisions made with confidence but without sufficient clarity.

Leaders committed to AI vendors they hadn't properly vetted. Organizations invested millions in tools that didn't integrate with existing systems. Teams greenlit product strategies that sounded right but collapsed under execution pressure.

The pattern was consistent: capable people, good intentions, insufficient clarity on high-stakes decisions.

After building products at this scale—from founding startups to leading AI at Fortune 500 companies—people started asking for help. Not with execution. Not with tooling. Not with process optimization.

They needed help making the decisions themselves.

Should we build AI capabilities in-house or partner with existing platforms? Can this vendor actually deliver, or are we buying vaporware? Is our product strategy sound, or are we optimizing for the wrong market? Should we proceed with this acquisition, or are we missing critical risks?

These questions require someone who has solved these problems before. Someone who understands what clinical validation actually means, what regulatory pathways look like in practice, what integration costs will really be, and what it takes to scale AI products from concept to millions in revenue.

That became Yuuki Advisory.

Not a consulting engagement. Not a tool. Not coaching. This is strategic judgment for leaders who need clarity before committing to high-stakes moves.

I work with CEOs and executives at health tech companies, pharma innovation leaders, and investors navigating AI adoption. The work is always the same: help leaders frame the decision, identify blind spots, stress-test assumptions, and arrive at clarity they can defend.

I bring a specific set of capabilities to this work:

Technical depth. I've built AI products, not just talked about them. I know what works in production versus what works in demos.

Clinical insight. My medical background and early work in tele-cardiology mean I understand healthcare workflows, regulatory requirements, and clinical validation pathways. I speak both languages—clinical and technical.

Operator experience. I've scaled companies, built teams, navigated fundraising, and executed go-to-market strategies across consumer health, enterprise, and pharma contexts. I've done what my clients are trying to do.

Pattern recognition. After 14 years—from founding Care Remote to scaling Yuuki to $5M—I've seen the patterns. I know what failure looks like before it's obvious.

This work is judgment, not implementation. I help you frame the decision, identify blind spots, stress-test assumptions, and arrive at clarity you can defend. Then you execute with full authority.

Because when decisions determine whether millions are saved or lost, you need someone who has been in the arena—not someone who studied it from the sidelines.

If you're facing a decision that keeps you up at night, I'd like to help you think it through.

— Victor Phillips