Opendata, web and dolomites

Plural AI SIGNED

The knowledge engine for finance

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 Plural AI project word cloud

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

fraud    companies    natural    changing    made    economic    powered    deals    firms    arms    solution    financial    revenues    internal    beta    learning    machine    advisors    forefront    depleting    questions    share    instances    billion    reduce    annual    science    unsophisticated    strategic    intensive    banks    technologically    effort    million    saas    answers    20    lot    follow    pe    humans    markets    vc    helping    failing    venture    language    majority    strategy    gain    market    time    decision    consultancies    2024    investment    human    private    licence    reports    dependent    fintech    takes    proper    ai    89    gamechanger    version    corporate    position    relationships    plural    fee    finance    investments    continues    model    reaching    equity    competitiveness    lasting    customers    decisionmaking    innovate    generating    maximize    plan    graph    merger    data    inaccurate    global    acquisition    provides    decisions    acquisitions    investors    capital    platform   

Project "Plural AI" data sheet

The following table provides information about the project.

Coordinator
PLURAL AI LIMITED 

Organization address
address: EVOLUTION HOUSE ICENI COURT DELFT WAY NORWICH INTERNATIONAL AIRPORT
city: NORFOLK
postcode: NR6 6BB
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 https://plural.ai
 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 2019-10-01   to  2019-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    PLURAL AI LIMITED UK (NORFOLK) coordinator 50˙000.00

Map

 Project objective

Economic growth and competitiveness are dependent on the investment in companies in order for them to innovate and advance. But the majority of merger and acquisitions deals end up failing and depleting the value of the companies involved. This in part because proper analysis and data driven decision are not being made during these deals. The current solution to this problem is human analysis, which takes a lot of time and effort and is very cost intensive. Using natural language processing, machine learning, and knowledge graph technology, Plural AI has developed a beta version of a data science platform for financial analysis capable of generating data driven reports on financial markets and potential acquisition targets. Plural AI is a gamechanger as it provides answers to complex questions and allows humans to focus on decisionmaking and strategy. Corporate finance is still behind technologically, meaning that a lot of their financial analysis continues to be unsophisticated and inaccurate. Plural AI is on the forefront of AI powered financial analysis technology. Plural AI can help to bring corporate finance to the future, helping companies to make better financial decisions. This will position us to gain a share within the €5 billion global AI fintech market. To reach our goal of changing the market and reaching a market share of 5-20% with €89 million revenues by 2024, we plan to follow a SaaS model based on an annual licence fee. Our customers are investors focused on private companies (private equity / venture capital (PE/VC)), strategic investors (internal M&A/corporate development arms of large firms), investment banks and other corporate finance advisors/consultancies. Plural AI’s technology has the potential to reduce instances of fraud in the investment process. It can also help to maximize Europe’s investments and build strong long-lasting relationships between companies.

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

MEDIVAC (2019)

Machine learning software to design personalized neoantigen vaccines tailored to specific vaccine delivery systems

Read More  

RDNA (2019)

Empowering New Venture Growth - RDNA

Read More  

Manuback (2019)

MANUBACK, the smart garment for operator protection in the field of Manual Handling of Goods

Read More