Opendata, web and dolomites


Intelligent debt recovery platform.

Total Cost €


EC-Contrib. €






 Cortx project word cloud

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

optimising    net    uk    american    strategy    levels    fixed    companies    north    customers    consolidating    central    credit    insolvency    reduce    machine    designed    debt    documents    recovery    time    learning    manager    compliant    automatically    followed    algorithms    germany    intelligent    pilot    local    upfront    market    predict    outcome    utility    firm    auditable    live    per    analytics    recurring    spain    governments    reduces    margins    fee    cortx    strategic    stage    ongoing    practitioners    undertaking    commercialise    ready    firms    improves    personal    generate    localising    monthly    global    onboarded    administer    efficiency    functions    documentation    charged    default    intelligence    portfolio    expand    predictive    stakeholders    commercialisation    creditors    france    transfer    devising    vision    entry    italy    financial    platform    running    data    model    first    markets    performing    revenue    forecasting    core    countries   

Project "Cortx" data sheet

The following table provides information about the project.


Organization address
address: PEARSE ROAD
city: ARDARA
postcode: F94XVN6
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 Ireland [IE]
 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 2019-07-01   to  2019-12-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Cortx is an intelligent debt recovery platform that automatically processes and analyses insolvency documents to administer and predict the outcome of debt recovery. Through machine learning Cortx increases efficiency, reduces default levels and improves net margins for all stakeholders in the European insolvency sector. Cortx is designed to be used by insolvency practitioners, credit management firms, and creditors, including financial institutions, local governments, and utility companies. Cortx will generate revenue through a per-case fee model, with a fixed fee charged upfront for every new case onboarded. A recurring per-case per monthly fee is also charged for the ongoing use of analytics and forecasting algorithms on all live cases in a firm’s portfolio. Commercialisation in the UK personal insolvency market will be targeted first, followed by European and North American personal insolvency markets. Our vision is to reduce the level of non-performing debt on a global scale by bringing machine intelligence to the insolvency market. We aim to be the central data manager for the insolvency market allowing real time transfer of information and documentation with a fully auditable and compliant core. The proposed project will enable us to expand into EU markets, by undertaking in-depth market research, devising a market entry strategy for EU countries, and consolidating strategic partnerships necessary for European commercialisation. It will also allow us to further develop Cortx from its current stage by optimising technical aspects and developing its predictive functions, localising it for EU markets and running a pilot with potential customers in these new markets. At the end of the project we will be ready to commercialise Cortx in our go-to-markets of the UK, Germany, France, Italy and Spain.

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

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