About

The plastic surgery and aesthetics market is rapidly expanding. Yet decision-making remains fragmented, subjective and often driven by social media and unverified outcomes, leading to low trust, unrealistic expectations and inconsistent results. At the same time, clinics face increasing complexity, with a growing number of technologies, injectables and treatment combinations requiring more sophisticated, personalized decision support. We addresses this gap by combining medical excellence with advanced AI to create a new, trusted ecosystem for aesthetic care. The application provides objective, data-driven guidance that enables patients to make informed decisions based on their unique facial characteristics, while enhancing transparency and safety throughout the journey. For clinics, we deliver an AI powered tool to personalize treatment planning, improve consistency of outcomes and integrate advanced analytics into daily practice. This dual value proposition aligns patient trust with clinical precision, ultimately redefining how aesthetic decisions are made. The vision is to establish a scalable, data-driven ecosystem where aesthetic improvements are guided by science rather than perception, unlocking better outcomes, increased trust and a new standard of personalized care in the global aesthetics market.

Solution & Product

We solve the fragmentation and subjectivity of the aesthetics market by combining AI powered facial analysis with real clinical expertise, creating a trusted, data-driven decision layer for both patients and clinics. At its core is the mobile app, which can analyze a single facial image and generate personalized, evidence based treatment recommendations tailored to each individual unique characteristics. These insights are grounded in clinical data from certified plastic surgeons, ensuring scientific credibility and safety. For patients, the app delivers transparent, objective guidance that replaces guesswork and social media driven decisions, improving trust and setting realistic expectations. For clinics, it provides advanced decision support tools, data insights, and stronger patient engagement, enabling more personalized treatment planning and more consistent outcomes. This is reinforced by a hybrid model, where the digital platform is seamlessly integrated with the physical clinic network, aligning online discovery with professional medical execution. Over time, this integrated ecosystem strengthens data feedback loops, enhances accuracy, and unlocks additional value through analytics. By bridging digital intelligence with clinical practice, we establish a scalable AI enabled platform that elevates patient experience, improves clinical precision and positions the company at the forefront of next generation aesthetic medicine.

Innovation & Scalability

We represent a step change in aesthetic medicine by combining AI, proprietary clinical data and a hybrid care model into a single scalable platform. At the core is an AI powered mobile application that transforms how patients understand and plan treatments. We use a single facial photo, advanced computer vision analyzes facial structure, symmetry and surface characteristics to deliver personalized, evidence based recommendations across injectables, laser treatments and skincare. The innovation is anchored in a unique, clinically validated dataset of high resolution before after images captured with professional 3D imaging systems, ensuring accuracy across diverse facial profiles and creating a medical grade benchmark not available in consumer beauty apps. This enables a level of precision, transparency and trust that bridges the gap between digital guidance and clinical reality. Scalability is driven by a platform model with low marginal costs. Once the AI engine and data infrastructure are established, the solution can be replicated across geographies and clinic networks with minimal additional investment. Seamless integration with clinic CRM systems creates continuous data feedback loops, improving model performance and unlocking advanced analytics over time. Combined with a user friendly experience and clinic connectivity, we deliver a self-reinforcing ecosystem that enhances patient confidence and optimizes clinical decision making.

Traction & achievements

The clinic has been successfully launched with all required regulatory approvals in place, establishing a strong operational foundation. We are currently building our proprietary dataset by systematically collecting high quality before after images from ongoing clinical activity. In parallel, we have completed the design of the mobile application, positioning us to move into development and prepare for market launch.

Team & Why Us

The growth strategy is built around a dual B2C B2B model with scalable, low cost expansion. On the B2C side, the company will drive adoption through a subscription app priced at approximately 9 Euro per month, growing the user base from 500 to 20000 over five years. This growth is reinforced by the B2B channel, where partner clinics increase from 1 to 15 and act both as paying clients, via annual licensing fees, and as distribution engines through patient referrals, reducing customer acquisition costs. The model prioritizes high scalability with low marginal costs, as core investments in AI, platform development and infrastructure are largely fixed, while cloud and operating costs scale efficiently. This enables rapid revenue growth, from 57k to 2.2M, while achieving break even by Year 2 and expanding margins to appr 45 percent by Year 5. At the same time, the strategy follows a phased value expansion path, starting with app launch and initial clinical integration, progressing to EU market expansion and advanced analytics and ultimately unlocking additional revenue streams through Data as a Service. Overall, growth is driven by the combination of platform economics, partner-led distribution and increasing monetization of data and analytics capabilities over time.

Funding Needs

The total funding need is approximately 450-550k Euro over the first two years, primarily to cover initial losses and enable early stage scaling. This funding bridges the negative cash flow in Year 1, minus 142k PBT, and supports ongoing investments until the business reaches break even in Year 2. The requirement is driven by two main components. First, CAPEX of appr 100k per year is needed to build the core platform, including AI model development, product engineering, backend infrastructure and GDPR grade security. These are largely fixed, upfront investments that enable long term scalability. Second, OPEX scaling from 100k to 150k in early years funds team build-out, marketing, cloud infrastructure and clinic onboarding. Importantly, the funding supports growth acceleration levers such as B2C user acquisition and B2B clinic expansion, which in turn drive organic referrals and reduce customer acquisition costs over time. Once scale is achieved, the model benefits from strong operating leverage, with revenues growing faster than costs. Overall, the funding is designed to lower early execution risk, accelerate market penetration and establish a scalable SaaS and data monetization platform, with clear visibility to profitability and strong margin expansion beyond Year 2.