I recently connected with the team behind a fascinating HealthTech startup, Esthetic Match , at Web Summit 2025. In an industry often clouded by mistrust, founder Déborah Lévy is building a necessary bridge between patient anxiety and medical expertise.
Here is how they are using technology to clean up the aesthetic landscape.
For patients, aesthetic medicine can be daunting. Data shows that among people who experienced unsatisfactory results or unexpected outcomes, 50% had to undergo a second procedure to correct it, leading to increased fear of failure and a loss of trust in the choice of the physician. They often struggle to find qualified practitioners, relying on general searches that don’t differentiate between experts and novices.
Conversely, highly skilled doctors face invisibility.
They struggle to rank against competitors on Google.
Standard platforms like Doctolib do not allow them to showcase “before and after” photos or detailed portfolios.
It is difficult for them to highlight their signature techniques or niche procedures.
📱 The Solution: Swipe, Match, and Trust
Esthetic Match is tackling this with an innovative mobile application. It functions as a medically verified matching system powered by AI.
For Patients:
The app translates layman’s terms into medical solutions. A user can type a concern like “I want to get rid of my double chin,” and the AI maps it to specific procedures like “Lipolysis injection” or “Cryolipolysis”1. It then suggests verified practitioners nearby.
For Doctors:
The platform allows practitioners to build a reputation based on specific skills and transparency. They can create profiles detailing their experience, medical specialties, and showcase “before/after” galleries.
👩⚕️ The Team
The vision is led by Déborah Lévy, a Biotech Engineer and HealthTech entrepreneur. With a background at Teoxane (a leader in Hyaluronic Acid) and experience in clinical affairs, she brings essential industry expertise to this platform.
🤝 Synergies: Where YOUR R&D™ Fits In
At YOUR R&D, we see incredible opportunities to help Esthetic Match scale their vision through our software engineering expertise.
AI Refinement: We can help refine the “prompt-to-procedure” NLP algorithms to better understand patient nuances.
Data Security: Handling medical queries requires strict GDPR compliance, an area where our team excels.
Future Features: As they plan to add teleconsultations and retouching reminders in 2027, we can build the scalable infrastructure required.
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