Opendata, web and dolomites


Edurio – a revolutionary web platform for school networks to improve the quality of education through deep analytics of stakeholder feedback

Total Cost €


EC-Contrib. €






 EDURIO project word cloud

Explore the words cloud of the EDURIO project. It provides you a very rough idea of what is the project "EDURIO" about.

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Project "EDURIO" data sheet

The following table provides information about the project.


Organization address
city: LONDON
postcode: N1 6HQ
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website
 Total cost 2˙659˙375 €
 EC max contribution 1˙861˙562 € (70%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
2. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
 Code Call H2020-SMEINST-2-2016-2017
 Funding Scheme SME-2
 Starting year 2016
 Duration (year-month-day) from 2016-09-01   to  2019-12-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    EDURIO LTD UK (LONDON) coordinator 1˙861˙562.00


 Project objective

Up to now stakeholder feedback management in school networks has been a very time consuming paper exercise with no central data management possibility and poor analytics. Edurio offers a unique opportunity to remove 95% of time and financial resources, improve survey reliability and use deep analytics to provide users the most important insights and recommendations for smarter decision making.

Edurio’s SME Instrument project aims to bring to market a web platform for schools and school networks (governments, municipalities and private networks) to radically improve the way they manage quality of education, by using our unique system with streamlined user flow and novel machine learning analytics.

Edurio’s platform allows school networks to regularly collect and analyse feedback surveys from students, parents and teachers. Automatic machine-learning based diagnostics along with deep analytics (student group analysis, advanced text analysis etc.) will give schools and school networks recommendations to set educational priority areas and future actions.

Since July 2014 we have developed 3 prototype versions of Edurio and tested them in over 200 schools with 50’000 students and 5’500 teachers, completing 100’000 surveys. The pilots validated the market need and highlighted the requirements we need to meet for an international scale-up. We are collaborating with global leaders in education like the UCL Institute of Education and Oxford University Press and have received interest to conduct international school network pilots, enabled by the H2020 support. We have a uniquely skilled team with experience in strategy, software development, AI and education.

With this project, we aim to scale Edurio to school networks internationally containing 30’000 schools in 5 years from market launch. We can reach annual revenues of over 75m EUR and improve the quality of education for 15 million children globally - a critical first step for all other positive societal impact.


List of deliverables.
White paper on staff well-being Documents, reports 2020-04-02 12:20:54
Updated Edurio survey library Documents, reports 2020-04-02 12:20:44
School network pilot evaluation report Documents, reports 2019-11-07 14:27:56
PISA validation report Documents, reports 2019-11-07 14:27:56
Pricing package Other 2019-11-07 14:27:56
Edurio handbook Documents, reports 2019-11-07 14:27:56
Multi-academy trust case study Documents, reports 2019-11-07 14:27:56
Edurio mobile app Other 2019-11-07 14:27:56
Refined version of Edurio for testing in the international market Demonstrators, pilots, prototypes 2019-11-07 14:27:56

Take a look to the deliverables list in detail:  detailed list of EDURIO deliverables.

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The information about "EDURIO" are provided by the European Opendata Portal: CORDIS opendata.

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