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NEXT OPEN CALL 
STARTS SOON
GET NOTIFIED
Application Deadline
00
00
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DAYS
HRS
MIN
SEC
May 8th, 2020

HUB INTO THE FUTURE

HUB INTO 
THE FUTURE

Unleashing data potential by connecting startups and corporates.

START-UP
Corporate
the numbers speak
for themselves
335
Joined Start-Ups
10
Industry Partners
38
Countries

Data ChallengeS

The Data Hub is a business building program that connects startups with established companies from the Ruhr region. Your task is to tackle the use cases with innovative ideas and to create a proof- of-concept within a 3-month cooperation period.
SEE LATEST CHALLENGES

our data hub offering

The Data Hubs goal is to foster data driven innovation by bringing together deep tech startups with progressive corporates in a 3 month collaboration program
The Data Hub program offers startups access to experienced companies and unique data sets to develop and implement promising data-driven solutions.
‍
The Ruhr region in Germany is an attractive location for data-driven startups. Startups in the Ruhr region benefit from its central location in Europe, a close-knit infrastructure and the large market of a region with more than five million inhabitants, a strong middle class and many established corporates further add to its list of advantages.

IMPRESSION DeMO DAY

Many thanks to all participants of the Demo Day on 28. Nov. 2019

Join data hub network

We are dedicated to foster data innovation in the B2B and industry world. Join our DataHub Ruhr network to stay posted on results, our next open call and future options.
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Let's talk

Patrick Majunke
Your personal consultant
+ 49 (0) 160 / 939 238 69
Mo. - Fri. 9am - 5pm
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About us

We support the startup scene in Germany's most exciting industrial region:
in the Ruhr region.
The Data Hub program is provided by the Gründerallianz Ruhr (www.gruenderallianz.ruhr) and operated by etventure GmbH on behalf of Initiativkreis Ruhr GmbH (www.initiativkreis.ruhr). The Data Hub program offers startups access to experienced companies and unique data sets to develop and implement promising data-driven solutions.
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