Application Deadline
00
00
00
00
DAYS
HRS
MIN
SEC
Close X

Join the Network

Receive updates on new challenges
Connect to startups and corporates
Get updates on startup ecosystem Ruhr
Explore the data repository
Connect with like minded people on our events

Thanks for your interest! To stay in the Network, please check your email and confirm your email address by clicking the confirmation link that we’ve included.

Oops something went wrong. Please make sure to fill out everything or try again later.

Our 2018 open call ended, join the network to get informed about the coming challenges.

Hub Into the Future

Join forces with startups and other corporates to unleash your data potential.

Let's talk!

Patrick Majunke

Let's talk!

Patrick Majunke

datahub
@gruenderallianz.ruhr

+49 (0)30 280 417 51
Mon - Fri: 9am - 5pm (CET)

Get your callback

our data hub offering for

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
Free "Data Thinking" workshop to identify your data potential
Access to international deep tech startups
Top level exchange with other partners
Receive up to €25k funding to create your proof of concept - without giving away equity
Work with real-world use cases and unique data sets of leading companies
Gain access to leading corporate partners with the chance to win them as your new client

Become a data hub partner

Data is the most important raw material of the future. The challenge: To turn them into business value.
We bring your data together with the right cooperation partners - young international start-ups and other partner companies - and jointly develop concrete use cases to leverage your data potential.
reserve your slot
Application is open till 31.01.2019 - only 8 slots left.

our Partners & network

Dirk Ostermann

Business Manager
RAG

“Yesterday the Ruhr region was rich of coal. Today it is rich of unique industrial data. The Data Hub Program helps us to share data with innovators from around the world.”

Dr. Rainer Fuchs

Head of Strategy
VIVAWEST

“The data hub will be a great opportunity for us to get in touch with young committed founders and learn from each other. We expect an intense collaboration and a deep insight in the art of number crunching.“

Manuel Woste

Innovation Manager
Kolumbus

“Creative solutions to our real-world use cases are only the first step. We are looking for long term partnerships with innovative Startups.”

Data Challenge

The Data Hub Challenge offers startups access to experienced companies and unique data sets to develop and implement promising data-driven solutions.

Application is closed

Won by predict.io

Refurbishment and Maintenance Cycle Optimization

Predictive Maintenance, Real Estate
Budget:
€25,000
Partner:
Vivawest

Managing a physical real estate portfolio requires a lot of experience and planning. Early indicators can help optimize refurbishment and maintenance planning even without thousands of IoT sensors. Can an algorithm optimize which buildings and apartments should receive significant investment to keep asset value high and tenants happy?

explore the details & Apply

Won by OmegaLambdaTec

Natural Gas Price Prediction

Price Prediction
Budget:
€20,000
Partner:
Kolumbus

Some municipal utility providers would like to optimize their trading activities. Here, we set our focus to one special contract of the natural gas market, the so-called day ahead. Intraday and short-term price prediction of this specific product can help municipal utility providers to optimize their trading activities with regard to storage operation, balancing group management and portfolio management. Can we design algorithms to forecast intraday and short-term price movements in this context?

explore the details & Apply

Won by OmegaLambdaTec

Won by Spacedatists

Spatial Pattern Recognition

Computer Vision, Detection, Spatial Analytics
Budget:
€20,000
Partner:
RAG

To help keep the Ruhr area safe, RAG conducts flights that measure exact ground elevation levels. These measurements reveal ground depressions that can be early indicators of structural collapse and cause property damage in the future. Spotting these depressions is a difficult task. Can we develop an algorithm that spots ground depressions better than the human eye?

explore the details & Apply

Won by The SQLNet Company

Tenant Happiness :)

Churn Prediction
Budget:
€15,000
Partner:
Vivawest

Keeping reliable tenants happy is of high importance to landlords. There are many early indicators before a tenant cancels their contract. Their decision might be explained by increasing rent or by complaining about the same issue several times. Can we develop an early warning system for tenants that are about to leave?

Explore the details & Apply

Won by The SQLNet Company

Won by Sigillium

Smart Data Corrector

Pattern Recognition, Error Detection
Budget:
€20,000
Partner:
EGLV

Critical infrastructure requires the highest level of data quality. But outdoor sensors are exposed to rough environments and not always deliver the most accurate information. Dirt, aging of sensors and vandalism are typical reasons for data errors. Manual data correction requires a lot of experience, focus and time. It does not scale well with the increasing number of sensors installed. Can smart algorithms come to the rescue?

explore the details & Apply

Won by predict.io

Invoice Plausibility Check

Accounting
Budget:
€20,000
Partner:
Kolumbus

Yearly electricity demand is as varied as the people and businesses that use it. This poses considerable challenges in confirming the plausibility of automatically generated invoices. But mistakes lead to considerable costs and unhappy customers. Can we improve quality by automated plausibility checks?

explore the details & Apply

Won by predict.io

Won by Contiamo

Opportunity Scoring

Sales
Budget:
€20,000
Partner:
Schacht.One

Choosing how to approach which customers is a daily challenge for all sales representatives. CWS Boco’s sales representatives meet with thousands of potential customers every year and whether or not they convert the opportunity depends on many factors. Type of product sold, trends, time of meeting, the competition and the customer’s industry among many others determine success or failure. Can an AI clear the fog and uncover what truly matters?

explore the details & Apply

Application starts soon

Street Lighting

Energy
Budget:
Partner:
Stadtwerke Herne

Intelligent street lighting is an important step to fulfill the promise of a “smart city”. Smart public street lighting adapts to movement by vehicles and pedestrians and dims when no activity is detected. But which locations promise the most impact by new street lighting? Traffic numbers, weather season, population development, traffic law and other factors have to be considered. Your simulation of 16,000 public street lights might help to introduce “smart” in a smart way!

Waste Hunter

Route Optimization
Budget:
Partner:
Herne

Every citizen enjoys a clean and tidy city. Therefore, waste bins are placed in most public areas to encourage people not to litter. Waste collection services collect the waste of those bins on a regular schedule. Currently, their route is often based on personal experience of the driver and minimum distances from one bin to another within a specific area. Other factors such as waste bin capacity, local event calendar, vehicle capacity, time of day or weather are not necessarily considered. Can you optimize routes and help keep our cities clean?

Data Challenge

The Data Hub Challenge offers startups access to experienced companies and unique data sets to develop and implement promising data-driven solutions.

Application is closed

Refurbishment and Maintenance Cycle Optimization

Predictive Maintenance, Real Estate
Budget:
€25,000
Partner:
Vivawest
Won by:
predict.io

Managing a physical real estate portfolio requires a lot of experience and planning. Early indicators can help optimize refurbishment and maintenance planning even without thousands of IoT sensors. Can an algorithm optimize which buildings and apartments should receive significant investment to keep asset value high and tenants happy?

explore the details

Natural Gas Price Prediction

Price Prediction
Budget:
€20,000
Partner:
Kolumbus
Won by:
OmegaLambdaTec

Some municipal utility providers would like to optimize their trading activities. Here, we set our focus to one special contract of the natural gas market, the so-called day ahead. Intraday and short-term price prediction of this specific product can help municipal utility providers to optimize their trading activities with regard to storage operation, balancing group management and portfolio management. Can we design algorithms to forecast intraday and short-term price movements in this context?

explore the details

Spatial Pattern Recognition

Computer Vision, Detection, Spatial Analytics
Budget:
€20,000
Partner:
RAG
Won by:
Spacedatists

To help keep the Ruhr area safe, RAG conducts flights that measure exact ground elevation levels. These measurements reveal ground depressions that can be early indicators of structural collapse and cause property damage in the future. Spotting these depressions is a difficult task. Can we develop an algorithm that spots ground depressions better than the human eye?

explore the details

Tenant Happiness :)

Churn Prediction
Budget:
€15,000
Partner:
Vivawest
Won by:
The SQLNet Company

Keeping reliable tenants happy is of high importance to landlords. There are many early indicators before a tenant cancels their contract. Their decision might be explained by increasing rent or by complaining about the same issue several times. Can we develop an early warning system for tenants that are about to leave?

explore the details

Smart Data Corrector

Pattern Recognition, Error Detection
Budget:
€20,000
Partner:
EGLV
Won by:
Sigillium

Critical infrastructure requires the highest level of data quality. But outdoor sensors are exposed to rough environments and not always deliver the most accurate information. Dirt, aging of sensors and vandalism are typical reasons for data errors. Manual data correction requires a lot of experience, focus and time. It does not scale well with the increasing number of sensors installed. Can smart algorithms come to the rescue?

explore the details

Opportunity Scoring

Sales
Budget:
€20,000
Partner:
Schacht.One
Won by:
Contiamo

Choosing how to approach which customers is a daily challenge for all sales representatives. CWS Boco’s sales representatives meet with thousands of potential customers every year and whether or not they convert the opportunity depends on many factors. Type of product sold, trends, time of meeting, the competition and the customer’s industry among many others determine success or failure. Can an AI clear the fog and uncover what truly matters?

explore the details

Invoice Plausibility Check

Accounting
Budget:
€20,000
Partner:
Kolumbus
Won by:
predict.io

Yearly electricity demand is as varied as the people and businesses that use it. This poses considerable challenges in confirming the plausibility of automatically generated invoices. But mistakes lead to considerable costs and unhappy customers. Can we improve quality by automated plausibility checks?

explore the details

Application starts soon

Street Lighting

Energy
Budget:
Partner:
Stadtwerke Herne

Intelligent street lighting is an important step to fulfill the promise of a “smart city”. Smart public street lighting adapts to movement by vehicles and pedestrians and dims when no activity is detected. But which locations promise the most impact by new street lighting? Traffic numbers, weather season, population development, traffic law and other factors have to be considered. Your simulation of 16,000 public street lights might help to introduce “smart” in a smart way!

Waste Hunter

Route Optimization
Budget:
Partner:
Herne

Every citizen enjoys a clean and tidy city. Therefore, waste bins are placed in most public areas to encourage people not to litter. Waste collection services collect the waste of those bins on a regular schedule. Currently, their route is often based on personal experience of the driver and minimum distances from one bin to another within a specific area. Other factors such as waste bin capacity, local event calendar, vehicle capacity, time of day or weather are not necessarily considered. Can you optimize routes and help keep our cities clean?

Winner of the OPen call #1

Case: Tenant Happiness :)

Case: Opportunity Scoring

Case: Smart Data Corrector

Case: Spatial Pattern Recognition

Case: Natural Gas Price Prediction

Case: Refurbishment and Maintenance Cycle Optimization

+ Plausibility Check

Join data hub network

We are dedicated to foster data innovation in the B2B and industry world. Join the Data Hub and become part of a strong network. Receive updates on new challenges, present your startup to our growing list of partners, submit a data request, explore the data repository and connect with like minded people on our events.
join network
Didn't find any interesting?
Submit own challenge.
Close X

Get your Callback

data security policy

Thanks for your interest! We will contact you as soon as possible.

Oops something went wrong. Please make sure to fill out everything or try again later.