Last modified: 23rd January 2024

Call closed! Stay tuned for the upcoming steps!

High-Growth Programme

 

EU DigiTOUR is an EU funded project holding the mission of magnifying the digital transformation in the tourism sector. To achieve the mission, EU DigiTOUR designed the High-Growth Programme which provides the technical support activities related to the EU deep tech tourism innovative SMEs to bridge the gap in the adoption of digital techs to European traditional tourism SMEs!

 

The EU DigiTOUR is inviting the tourism innovative SMEs based in Italy, Germany, Croatia, or Slovenia with the most disruptive ideas to apply to the High-Growth Programme to not only expanding network with a group of forward-thinking people working in the deep-tech/tourism fields, and to incubate, accelerate your business with professionals, moreover, unlock the opportunity of receiving micro funding up to €10.000!

At the end of the programme, 30 out of 45 innovative SMEs will be selected as digital Champions and will be assigned with vouchers as final third parties beneficiaries.

 

The digital Champions will be qualified to access the second phase of the programme- EU DigiTOUR Hackathon as key players.


General rules and Deadline for submission of applications:

 

  • Applicants are required to complete the application form available through this link: https://x23eupro.grantplatform.com/.
  • The application will consist of a form to provide information about the innovative SMEs' profile, the product/process/service proposed using AI, AR/VR, IoT, big data, and a pitch deck to be submitted as an attachment. 
  • Application is also possible through the project website, a link will be re-directing to the GG Platform.
  • Only proposals submitted in English will be accepted. 
  • Submissions written in another language will not be evaluated. 
  • Only applications submitted before the deadline will be accepted. 
  • Only proposals submitted via the Good Grants on-line platform, complete with all the templates annexed will be accepted. Paper/printed versions submitted by post or other means will not be accepted. Hand-written applications will not be accepted. 
  • Submission opening date: November 23, 2022, 09:00 CET 
  • Submission deadline: February 15 2023, 17:00 CET. 
  • During this period, questions about the application process can be addressed at: info@eudigitour.eu
  • The participation to the EU DigiTOUR Transformation Academy will be an asset. 

 

Further information about the applications:

Please note that only the Application Form (Annex I) which has to be filled in will be evaluated at the submission phase. It is therefore of utmost importance that this document contain all the relevant information concerning the action. Applicants are expected to provide complete and accurate applicant information and data via the Good Grants on-line platform, as provided in the “Guide for Applicants”.

 

Each application received will be sent over an “Acknowledgment of Receipt” email. No late submissions will be accepted and in case will be returned via email re. "call closed"

 

If you have any questions regarding the High-Growth Programme, feel free to reach out to us on info@eudigitour.eu, indicating clearly the reference of the Call for participation and the question.


The applicants are also encouraged to visit the FAQ Page for further info.


* check the vouchers scheme in the Call for participation document attached below.

Elenco dei servizi

First Modified: 18th May, 2023


The first modified version of the Call announcement, Annex IV Financial Agreement and Annex V Guide for applicant were provided on 18th of May 2023 incorporating the new timeline for the High-Growth Programme (from September to December 2023) and for the related reporting task (April 2024).


Second Modified: 23rd January 2024


The second modified version of the Call announcement, Annex IV Financial Agreement and Annex V Guide for applicant were provided on 23rd of January 2024 incorporating the new timeline for the High-Growth Programme and for the related reporting task.

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