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.

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

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.)

DNA DS (2019)

DNA Data storage

Read More  

LTS (2020)

LEARNING TO SLEEP: INCREASING HEALTH THROUGH BETTER SLEEP

Read More  

FOTOKITE-SME-P1 (2019)

Aerial Situational Awareness for Every Firefighter

Read More