We built Tapas because your body shouldn't have to wait for a doctor's appointment to tell you something is wrong.
Tapas — from the Spanish verb tapar, “to cover”
In Spanish culture, tapas are small shared dishes served at a bar — quick, varied, and satisfying. Legend says they were originally placed as lids over drinks to keep flies out. Over time they became a culinary tradition: bite-size flavors that give you exactly what you need, without the full meal.
Tapas AI works the same way. Instead of spinning up a full AI inference for every question, we serve bite-size answers drawn from a shared semantic cache — covering your query instantly, before a single GPU watt is spent on redundant computation.
“Pequeñas porciones de inteligencia artificial, servidas al instante.”— Small portions of AI, served instantly.
We started from a simple observation: the human body is the most information-rich sensor in existence — and we're barely reading it. Annual blood tests, occasional check-ups, and consumer wearables that only scratch the surface. We built Tapas to change that: a skin-applied nanosensing platform that reads your biology continuously, and an AI that turns that data into health intelligence you can actually act on.
Prevent illness before it starts
Continuous biosignal monitoring catches anomalies days or weeks before symptoms appear — shifting healthcare from reactive to predictive.
Make health intelligence effortless
No needles, no rigid devices, no charging. Apply the cream, wear the reader, and let the AI do the work — 24 hours a day.
Bridge consumer wellness and clinical care
Tapas works with MedConnect clinics, academic researchers, and individual users — the same platform from your bathroom to the hospital.
The AI efficiency layer that powers it all
Running AI at the scale of continuous personal health monitoring requires radical efficiency. Our semantic cache layer serves validated health answers in under 50ms — consuming 3,000× less energy than a live AI inference. Every cache hit is a faster answer, a lower cost, and a smaller carbon footprint.
Live platform stats
How the Tapas HealthOS works
Apply the nano-cream
The user applies the cream to their skin. Conductive nano-particles form an invisible biosensor layer that reads glucose, cortisol, hydration, heart rate, and inflammation continuously.
Biosignals are captured
A coin-sized reader (or smartphone module) picks up the electrical signals from the cream and transmits them securely to the Tapas AI Health Engine.
AI processes the data
Our semantic health AI compares incoming biosignals against the user's personal baseline and a validated clinical knowledge base — in real time.
Insights are delivered
Plain-English alerts, trend summaries, and personalized recommendations are delivered to the user's app within seconds.
The Health Twin learns
Every reading refines the user's Personal Health Twin — a continuously improving AI model of their unique biology that gets smarter over time.
Clinical data flows where needed
With user consent, longitudinal biosignal data flows to MedConnect clinics, research partners, or the user's own healthcare provider.
How we got here
Formulation research began on a skin-native biosensing medium — no needles, no rigid hardware. The nano-cream concept emerged from dermatology and elective-care clinical observations.
First nano-cream biosensor prototype validated for glucose, cortisol, hydration, and cardiac signal capture. Signal processing pipeline built with SignalSys.Click for ECG/EMG/EEG validation.
Formal partnership with MedConnect.Team launched, integrating the Tapas HealthOS into 7 elective care specialties across Türkiye and the EMEA clinic network.
Active rollout across aesthetics, dermatology, orthopedics, and post-surgical recovery clinics. CMO Dr. Dorottya Turu leads clinical adoption and surgical relations across Europe and EMEA.
The team behind Tapas.one
Four specialists spanning clinical AI, nano-material science, enterprise cloud, and surgical medicine — united by a single conviction: the most important healthcare revolution won't be a drug or a device. It will be invisible.
Eangelica Aton
Co-founder & CEO
Clinical AI · Health Intelligence Architecture
Pau Sabater
Co-founder & CTO
Nano-Cream Biosensing · RF Telemetry · Core IP
Michael Tedescucci
CIO / COO
Cloud Infrastructure · Enterprise AI · Platform Scale
Dr. Dorottya Turu
Chief Medical Officer
Medical & Surgical Relations · MedConnect EMEA
What we believe in
Prevention over treatment
We believe the best healthcare intervention is the one that never needs to happen. Continuous monitoring is the only way to get there.
Privacy by design
Your biosignal data belongs to you. We never sell it, never share it without consent, and never use it to train models without explicit permission.
Radical accessibility
The most powerful health technology should be the most accessible. We're building Tapas to work for a Silicon Valley founder and a rural clinic patient alike.
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