Invest in:

Sector:
Digital Health

Stage:
Seed

Funding to date:
EUR 120k

Raising:
EUR 800k

Incorporated:
2018

Let the founders present you their business!

ELEVATOR PITCH

XUND is an AI-powered mobile health assistant, reducing existing barriers between doctors and patients. The founders developed a patient-centric, self-learning system that provides users with reliable and straightforward information about their symptoms and health and links them with the right healthcare provider. Due to the founders’ strong ties in CEE and the overwhelming need for better healthcare across Eastern Europe, the goal is to focus on expanding from the DACH region eastwards.

The product is in an advanced beta phase and will be released after medical testing in the last quarter of 2019.

TEAM & MANAGEMENT

Tamás Petrovics

Tamás Petrovics

Operations, Finance, Development

5+ years of international work experience as a management consultant, most recently JEM at McKinsey.

Lukas Seper

Lukas Seper

Data Security, Public Relations and Fundraising

7+ years of international work experience as a political consultant both in Austria and Russia, previously founded companies.

Dr Zoltán Tarabó

Dr Zoltán Tarabó

Medical

25+ years of medical experience in Hungary, Germany and Austria as and anaesthetist and emergency doctor.

Founders are supported by own development subsidiary in Budapest and a team of 6 part-time doctors.

INVESTMENT HIGHLIGHTS

Founders

All founders know each other for 20 years and have been working on the XUND project since 2017. They invested EUR 120k by themselves.

Coop with TU Wien

R&D cooperation with TU Wien to build an AI-based text mining solution allowing for automated extraction of entries for our medical database from millions of medical publications.

Dynamic Market

Digital Health Market is one of the most dynamically growing markets in the world that is set to exceed USD 379 billion by 2024 (CAGR of over 20% since 2013).

Unique UX

Patient-centric approach by using interactive process design and visual assistance to lower language barriers and accelerate the anamnesis with shortcuts and clear recommendations.

REFERENCE

 

TURNOVER (€)

2019: -
2020: 100k
2021: 1.8m
2022: 7.3m

SCHEDULE PRESENTATION

Learn more about our deals sourced throughout Europe and join our community.