Opendata, web and dolomites

OMNIUS SIGNED

SaaS platform for automated categorisation and mapping of digitised documents using machine intelligence semantic extraction

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 OMNIUS project word cloud

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

2015    contracts    launch    variety    document    sensitive    platform    spend    clerks    human    beachhead    reductions    today    rates    lt    semantic    acute    scalable    automatically    berlin    machine    create    speed    recognition    performance    omni    demands    learning    software    grow    data    claims    api    labour    types    classification    erp    85    perspective    successful    claim    90    accuracy       environment    employees    versatility    consultants    technologies    operations    extraction    digitalised    enterprises    turnover    requirement    compatibility    time    insurance    error    95    core    searchink    intend    declining    enterprise    efficiency    functionalities    layout    expand    founded    archives    relies    market    ing    documents    policies    automated    technological    deploy    saas    segment    b2b    architecture    combines    physical    manually    arbitrary    structure    qidenus    mission    quality    archiving    automation    group    hardly    thanks    managementspecific    business    dramatically    innovative    100    unlock    services    enter   

Project "OMNIUS" data sheet

The following table provides information about the project.

Coordinator
QIDENUS GROUP GMBH 

Organization address
address: PERLEBERGER STRASSE 42 C 10
city: BERLIN
postcode: 10559
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 Germany [DE]
 Total cost 2˙213˙420 €
 EC max contribution 1˙549˙394 € (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-2018-2020-2
 Funding Scheme SME-2
 Starting year 2019
 Duration (year-month-day) from 2019-03-01   to  2021-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    QIDENUS GROUP GMBH DE (BERLIN) coordinator 1˙549˙394.00

Map

 Project objective

Today, enterprises, consultants and clerks manually process data from arbitrary documents (such as insurance policies, contracts, claims, etc.) to enter the necessary process data into their core ERP systems. As a result, it still relies on the physical availability of employees, and is therefore hardly scalable and sensitive to human error. Automation of document processing operations is challenging due to the variety of processes involved, the requirement for high-level recognition technologies, high demands on accuracy, and the versatility of enterprise IT systems.

Qidenus Group GmbH was founded in 2015 in Berlin, offering innovative software-based document management services. It has been our mission to support archives and operational processes to unlock information from all types of documents with our SearchInk technology, which combines Machine Learning, Semantic Processing and Layout and Structure Analysis.

Now, we want to implement SearchInk into the B2B-market by offering omni:us, a highly scalable, digitalised SaaS-platform for automated data classification, extraction and the hand-over process to core ERP-systems in the business segment of Claim Management as beachhead market.

Thanks to the performance of omni:us, the efficiency, speed and quality of data extraction and archiving will be dramatically increased, resulting in reductions of working time to <5% and costs up to 90%. The use of omni:us will offer enterprises a 100% increase in turnover, 85-95% reduction of labour time spend, and automatically declining error rates (<5%).

In this Phase 2 project, we intend to further deploy the omni:us SaaS architecture from a technological perspective with improved SearchInk technology performance, and Claim Managementspecific functionalities in a SaaS environment. Also, to grow our business, we want to create API´s to expand the compatibility with common ERP-systems and develop the market to ensure successful market launch.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "OMNIUS" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.3.;H2020-EU.2.3.;H2020-EU.2.1.)

ERGOVIAkinematix (2018)

New wearable measurement devices for Industry 4.0 based on gaming motion-capture system

Read More  

VINOQUANT11SUPERPLUS (2019)

A digital based system for measuring, showing and regulation of the complexe system of wine feremtation with high precision via a Bluetooth -Refractometer, a Software and a Bluetooth Thermostat

Read More  

Click and Spray (2020)

A SIMPLER, CHEAPER AND EASIER TO RECYCLE AEROSOL CONTAINER

Read More