VISION
We are entering a decisive decade for human health.
Advances in AI, agentic systems, and computation will fundamentally change how health is measured, understood, and improved.
At the same time, healthcare systems are becoming less accessible, more expensive, and increasingly ineffective at extending healthspan.
This gap will not be closed by more advice, content, or wellness trends.
It will be closed by intelligence.
I believe the next breakthrough in longevity will come from applying rigorous, data-driven systems to health in the same way they have transformed finance, logistics, and global markets. When health decisions are treated as system-level problems rather than lifestyle choices, outcomes change.
Business owners are uniquely positioned to lead this shift - not as patients, but as builders.
Not because they are privileged, but because they understand accountability, scale, and long-term risk.
This is not a distant future.
It is already unfolding.
MISSION
My mission is to help business owners become their own Longevity Architects.
I do this by translating complex longevity science into clear, data-driven decisions using AI, systems thinking, and evidence-based analysis.
The objective is not optimization for its own sake, but sustainable performance - improving healthspan in a way that supports clarity, energy, resilience, and long-term responsibility to families, employees, and communities.
Health should not depend on hype or hope - but by intelligence.
Stop guessing. Start knowing.
BIOGRAPHY
From Creative Systems to Longevity Intelligence
I grew up inside complex systems long before I entered healthcare.
As the child of classical musicians, structure, discipline, and pattern recognition were part of daily life.
That foundation led me into music - first creatively, then entrepreneurially - and eventually into one of the most complex data environments in the world:
global music royalties.
Over more than three decades, I built and operated multinational record labels, music publishing companies, artist management firms, and licensing infrastructures across Europe, the United States, Japan, Australia, and Canada. Along the way, I worked with thousands of rights holders, hundreds of partners, and millions of data points across dozens of jurisdictions.
What I discovered early was this:
value is rarely lost because of lack of talent - it is lost because systems fail.
In the early 2000s, while running international catalogs, I realized that a significant portion of global royalty income was disappearing due to accounting errors, broken reporting chains, and structural inefficiencies. Losing that value was not acceptable.
To solve this, I developed forensic, data-driven royalty systems that reconstructed ownership, corrected reporting, and exposed hidden value. These systems increased revenues for our own catalogs multiple times over and, for some partners, by orders of magnitude previously thought impossible.
This work - extracting truth from complexity - became the core skill I carried forward.
Later, after facing serious personal health challenges, I applied the same systems mindset to healthcare. I began working with the worlds best AI engineers, clinicians, and researchers to explore how objective data, machine intelligence, and pattern analysis could improve diagnosis, treatment, and long-term outcomes.
That work included AI-driven health platforms, clinical research with leading institutions, and large-scale analysis of behavioral and physiological signals.
It also revealed a hard truth: much of healthcare still operates with very incomplete data and delayed feedback.
Today, my focus sits at the intersection of data, systems, and longevity.
Through Vavida and Clockbusters, I am building longevity intelligence infrastructure - tools, signals, expert networks, and communities designed to help people make better health decisions based on evidence, not marketing.
I don’t believe in shortcuts.
I believe in systems that work.
Why I’m not a doctor
I’m not a physician. I’m a systems builder. My work focuses on turning complex health data into actionable intelligence and helping people identify trustworthy information and the right experts for their needs.
Diagnosis and treatment belong to clinicians.
Decision intelligence belongs to systems.