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.

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

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.)

DNA DS (2019)

DNA Data storage

Read More  

LTS (2020)

LEARNING TO SLEEP: INCREASING HEALTH THROUGH BETTER SLEEP

Read More  

Keelcrab (2019)

Keelcrab the Drone for an automated hull cleaning: fast & essential

Read More