European Data Incubator is looking for 35 promising Big Data startups and SMEs to take part in their next round of incubation. Each selected startup can received up to €100,000 equity-free funding.
in 3 months
European Data Incubator is looking for 35 promising Big Data startups and SMEs to take part in their next round of incubation.
The programme takes startups through three intense phases of growth over eight months, from August 2020 – April 2021, with a combination of online sessions and physical meetings in Bilbao and Berlin.
The chance to grow
not only as a startup, but also a team. After joining our programme, our startups have gone on to receive investment, develop their business in a new way and employ new team members.
A dedicated mentor
who will be with you every step of the EDI programme, communicating with you online and meeting with you face to face at our physical events in Bilbao and Berlin. All of our mentors are experts in their field and have a wealth of experience acting as coaches to startups like yours.
The chance to work side-by-side with a corporate
in a supportive environment, working together to solve their Big Data challenge. This unique situation provides you the chance to really collaborate on an in-depth project, and could lead to a fruitful and long-term relationship even after the programme has finished.
The opportunity to create and launch a new product or service
that could even be a new business line for you or something that you were already thinking of working on. If you choose our ‘Half and Half’ challenge or ‘Free choice’ challenge, you have the freedom to decide what kind of Big Data challenge and data set you are working on
Up to €100,000 equity-free funding.
for your startup, through promotion in EDI and partners’ channels and as part of the Big Data Value PPP European initiative.
Deadline: 17th June 2020
at 12:00 (noon) CEST
Illustration Photo: LAVA Project. The mission of LAVA is to conduct research and development in big data visualization techniques, and to apply these techniques in cutting edge domain science, engineering, and training applications. (credits: University of Hawai‘i News / Flickr Creative Commons Attribution-NonCommercial-NoDerivs 2.0 Generic (CC BY-NC-ND 2.0))