Opendata, web and dolomites


Advanced manufacturing though data analytics and intelligent insights

Total Cost €


EC-Contrib. €






 DATASET project word cloud

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

impossible    iot    energy    replicated    euros    solution    utilize    data    industrial    owners    library    modern    smarter    intervention    machine    facilities    harness    requiring    created    raw    gas    ai    intelecy    exclusive    maturation    anyone    learning    operations    competition    unnecessarily    greenhouse    materials    predictive    easily    operates    amounts    factories    manufacturers    begun    hence    analytics    made    prepared    create    water    sustainable    tool    multivariate    annually    kinds    50    algorithms    integrate    market    2025    assets    manual    million    asynchronous    science    unfortunately    massive    web    revenue    analyze    bottlenecks    jobs    56    core    else    66    purchased    commercialization    factory    generate    invest    shelf    sensors    norwegian    2017    expert    successful    billion    optimization    productivity    industry    software    extensive    manufacturing    emissions    property    simultaneously    equipping    off    series    acquisition    inefficient    471    collect    money    ntnu    450    wasting    university    saas    specialized    time    global   

Project "DATASET" data sheet

The following table provides information about the project.


Organization address
city: OSLO
postcode: 349
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 Norway [NO]
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-1
 Funding Scheme SME-1
 Starting year 2019
 Duration (year-month-day) from 2019-12-01   to  2020-04-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    INTELECY AS NO (OSLO) coordinator 50˙000.00


 Project objective

Modern factories are unnecessarily inefficient. A typical factory operates at only 66% productivity , which can cost industrial manufacturers an estimated $50 billion annually. Factories are wasting energy, water and raw materials, while simultaneously contributing 56% of global greenhouse gas emissions. With the rise of Industry 4.0, factory owners have begun equipping their facilities with sensors to collect production data across all kinds of assets. Unfortunately, these same factories are not prepared to utilize these massive amounts of data for smarter and sustainable operations and hence manual analysis is impossible. Modern factories need a solution which can easily integrate with their existing data acquisition systems and identify bottlenecks in the production process without requiring expert intervention. Intelecy is a web-based software product for predictive analytics and process optimization made specifically to harness the value of industrial IoT data for manufacturers. Created in collaboration with the Norwegian University of Science and Technology (NTNU) in 2017. Intelecy is an off-the-shelf advanced AI SaaS tool for manufacturing data analytics. At Intelecy’s core operates an extensive library of machine learning algorithms specialized for industrial multivariate asynchronous time series data. We have purchased these algorithms from NTNU, making them our unique and exclusive property which cannot be easily replicated by anyone else. for successful commercialization, we must create market awareness, analyze competition, and invest money in maturation of Intelecy. By achieving these objectives, Intelecy will generate revenue of 471 million euros and 450 new jobs by 2025.

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

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