Tapas.one HealthOS is the world's first skin-native biosensing platform. Apply a nano-cream, and our AI reads your heart rate, stress, inflammation, and recovery — continuously, invisibly, and personally. Join the early access waitlist to be first in line.
Early adopters are not just users — they are co-creators of the platform.
Tapas.one is applying to StartX — Stanford's non-profit accelerator — in June 2026. We are building at the intersection of nano-material science, AI health intelligence, and clinical medicine, creating a category that does not yet exist.
Today, you only know your health when something goes wrong. Tapas.one changes that: continuous biosensing through a skin-applied nano-cream, powered by an AI engine that learns your biology over time and alerts you before problems arise.
Pau Sabater's nano-cream biosensing formulation — a patentable, skin-native sensing medium that captures multimodal biological signals without hardware constraints.
Eangelica Aton's clinical AI architecture — a health intelligence engine that transforms raw biosignals into personalized, predictive health insights.
A complete HealthOS stack — from skin to insight — that creates compounding data advantages and a Personal Health Twin for every user.
We are raising a pre-seed round to fund clinical validation and the first manufacturing run of the nano-cream formulation. If you are an investor interested in deep-tech health infrastructure, we would love to connect.
"We started Tapas.one because we believe the most important healthcare revolution is not happening in hospitals — it is happening at the interface between AI and human biology.
Pau's nano-cream invention opened a door that nobody else has walked through: the ability to sense the body continuously, intimately, and without hardware constraints. Combined with AI-native health intelligence, we can build something that has never existed before — a living digital model of your unique biology.
We are looking for early adopters who share this vision. People who want to understand their biology deeply, who are willing to be part of building something genuinely new, and who believe that the future of healthcare is continuous, personalized, and invisible."
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