Data Pitch: 2017 project list
With Data Pitch, Europe wants to encourage business relations between large groups and young innovative startups involved with the data field. Our look at the challenges of 2017 and the launch of a new call-for-projects in 2018.
What is Data Pitch?
Data Pitch is a program in the Horizon 2020 framework funded by the European Commission. Its goal is to facilitate collaboration between established businesses and startups by enabling companies to resolve data-related challenges together.
Europe is dedicating resources to the effort. Funding of €7 million was recently allocated to finance projects and events concerning data for four years.
Operating principle
Large companies wanting to participate in the project make their data available and define their challenges, giving startups and SMEs an opportunity to respond. The only condition is that companies must be registered businesses in Europe.
For the first call-for-projects in 2017, five large European companies participated by providing their data.
Data supplier companies:
- Sonae (retail)
- Imin (sport & recreation)
- SpazioDati (data analytics)
- Deutcshe Bahn (transport)
- UniServ GmbH (Data Managment)
Startups selected for 2017:
- Next Question
- Spend Network
- iPlytics
- Ubiwhere
- Frosha
- Recogn.ai
- Transformative AI
- Nanovare
- Pharmawizard
- Radiobotics
- Intuitive Machine - AI Poli
- Predina Technologies
- Predepair
- Zevit
- Lexatexer
- Visor.ai
- Upsell - Exclusivi
- Data Moove
Awards for those startups:
The selected laureates receive up to 100,000 euros in funding and benefit from accelerator services for six months to help develop their solutions. They are given access to offices, as well as mentoring and networking services, and support for communication.
2018 call-for-projects
Data Pitch is currently talking with many large European companies about defining the new challenges to which startup will have to respond.
The new call-for-projects will be launched on July 1, 2018 and will remain open until October 1, 2018.
Find out more about Datapich