EDI opens its third open call

EDI
27/03/2020
EDI programme can reward the winners with up to €100K, with a dedicated mentor and working side-by-side with a large corporate

The European Data Incubator (EDI) has a €5 Million fund to foster data economy in Europe and is looking for 35 promising big-data startups and SMEs to take part in their next round of incubation.

ZABALA is one of the entities from a group of 20 partners across Europe working in this project that gives startups and SMEs the chance to grow their business as they solve a real-life challenge set by a major European corporate, with the help of up to €100K equity-free funding and a dedicated coach. 

The programme takes startups through 3 intense phases of growth over eight months, from September 2020 - April 2021, with a combination of online sessions and physical meetings in Bilbao and Berlin.

Participants from the EDI Programme stated that EDI has not only given them the chance to solve a corporate challenge and create a new product, but also grow their business as a whole.

Tvarit, one of the participants of the EDI Programme said: “EDI is the must-to-attend acceleration program, which provides data (to build solution), visibility (to attract customers and investors) and money (to finance the company)”.

“The EDI programme gives you the right tools to enable you to transform your vision into a product”, reinforces Aido.

How does EDI work?

Interested startups and SMEs will solve a challenge during the incubation programme. This year’s open call allows for 3 types of application tracks:

  1. Ready-made: A ‘ready-made’ challenge pre-set by EDI, with options by large corporates in the fields of IoT, transport, sports, gaming, media, energy and the environment, fraud detection, smart cities, retail, health, agri-food and finance.
  2. Half and half: Bring your own challenge, but you must solve it using one EDI data set and combine it with another EDI set or with one external data set.
  3. Free choice: You are free to propose your own challenge, and solve it working with your own data provider and external data sets.

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