AI+Munich

SCE

SCE München 48.1538958 Heßstraße 89 +498912653200

8:00 AM - 20:00 PM 8:00 AM - 20:00 PM 8:00 AM - 20:00 PM 8:00 AM - 20:00 PM 8:00 AM - 20:00 PM

Funding program of HM and SCE for future entrepreneurs

Shortfacts

Target Group

AI enthusiastic students, alumni, employees and professors of HM Hochschule München University of Applied Sciences as well as selected external start-up teams specialising in AI

Contents

Funding and teaching programme for AI start-ups from the Munich region

Cycle

possible at any time

Costs

free of charge

About

AI+MUNICH

AI+MUNICH is a deep-tech model project to promote AI startups in the Munich region and throughout Bavaria, supported and funded by the BMWK. In addition to the SCE, the project is driven by the two Munich universities HM and TUM with the associated startup center UnternehmerTUM and the ecosystem integrator MUC SUMMIT. The goal is to establish the Munich region as a national and international AI startup beacon. We place special emphasis on the positive social impact of the AI projects in order to positively anchor the future technology AI in society.

If you are an AI expert and would like to join a start-up or if you have a first business idea related to AI, please contact our SCE project managers.

Our constantly growing Munich AI community offers you the ideal ecosystem to exchange ideas and learn from each other with other potential founders, AI players already successful on the market, AI experts and our partner network. Workshops and networking events make it easy for you to dive into this network and benefit from it.

Current information about the project can be found here:

AI+Munich

Program sequence

To get to know the intersection of AI and Entrepreneurship better, we offer various teaching modules and events (MOOC, Real Projects, Hackathons,...). These offer a unique insight into the context and the Munich ecosystem.

Start your AI project with us anytime and upload your application(s) for the AI+MUNICH Community here:

Apply

By joining the AI Community, you or your team will enjoy regular expert advice and access to exclusive events and workshops. Furthermore, you have the chance to apply for relevant funding. Details can be found here:

AI+Munich Prototyping Grant

FAQ

Can I apply as an individual interested in AI?: You can also contact us as an individual interested in AI and entrepreneurship. We even offer special formats to make it as easy as possible for you to find your team or project.
Can start-ups that have already been founded also become part of the AI+MUNICH community?: Yes, AI start-ups that have already been founded and are operating successfully on the market are also very welcome to apply for admission. Your startup advisor will be happy to clarify with you whether additional financial support is possible in these cases.
How do I receive funding?: The first step is to join the AI+MUNICH community. You will then discuss the possibilities of additional financial support with your start-up advisor.

Partner

Contact

Philipp von Törne Education
Program Manager
AI + Munich

T: 089 1265 3286

Linkedin philipp.vontoerne@sce.de

Philipp von Törne joined the SCE in February 2023 as Programme Manager for AI+MUNICH: the prototype programme for AI start-ups with SDG impact.
Philipp scouts and coaches start-ups and supports talents and teams in developing their AI-based ideas and solutions.
In workshops and larger events, he brings together enterprising students, alumni and various start-up enthusiasts with start-ups, companies and experts and invites them to share, network and exchange ideas on relevant problems, AI and entrepreneurship.
Since 2000, Philipp has been responsible for building and managing products, teams, marketing and sales as co-founder and CEO of several companies. As a long-time product manager in the media, tourism and IT industries, he has developed, launched and managed over 20 products in various constellations - classic, lean or agile.

Philipp studied political science, education, sociology and philosophy. During his studies, he taught alternative quantitative methods to other students as a tutor for data mining and knowledge discovery.