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IRIS AI

IRIS.AI: The Artificial Intelligence-powered R&D assistant

Total Cost €

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EC-Contrib. €

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Partnership

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 IRIS AI project word cloud

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

accelerate    1400    journal    sharing    company    hired    team    area    human    data    cumulative    ranking    invaluable    hypothesis    decided    time       solution    automates    overcome    big    90    prestigious    iris    billions    progression    watson    answer    2015    innovative    papers    ai    scientist    community    fast    artificial    day    ibm    professionals    cagr    sadly    brains    algorithm    context    corporate    expertise    powered    experts    xprize    board    never    network    precision    market    worth    cited    generally    lengthy    people    85    net    fraction    thanks    intelligence    business    trainers    2017    saving    uses    reviewing    first    giving    profit    scientific    materials    understand    50    billion    literature    8m    trying    questions    globally    2023    famous    aid    period    featured    published    more    baidu    researcher    companies    document    google    rely    similarity    sense    clients    unrelated    science    read    5m    accuracy    valued    solving    4000    55    manual    birth    freemium    2024    neural    model   

Project "IRIS AI" data sheet

The following table provides information about the project.

Coordinator
IRIS AI AS 

Organization address
address: EDELGRANVEIEN 28
city: BEKKESTUA
postcode: 1356
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 Norway [NO]
 Project website https://www.iris.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 2018
 Duration (year-month-day) from 2018-11-01   to  2019-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    IRIS AI AS NO (BEKKESTUA) coordinator 50˙000.00

Map

 Project objective

More than 4000 research papers are published every day. Sadly, our human brains can only process a fraction of this knowledge. As a result, 50% of papers published are read by less than three people and as many as 90% of papers published are never cited. Currently, researchers rely on a lengthy manual process when reviewing scientific literature or trying to find a solution to a complex questions, generally only looking for papers within their expertise area, when the answer may be in an unrelated area. At Iris AI AS, we decided to overcome such challenges by giving birth to Iris.ai, the first Artificial Intelligence-powered researcher. Iris.ai uses a neural network algorithm to understand context and document similarity. It automates the process of finding relevant scientific literature and creating new hypothesis, saving up to 90% time of the research process and increasing accuracy with a 85% precision. As a result, it will accelerate the progression of knowledge and problems solving. Iris.ai is quickly becoming effective thanks to our team of data scientist experts and the invaluable help from our community of AI trainers, who aid Iris.ai make sense of science. Iris.ai is also becoming famous! We have been featured in the $5M IBM Watson AI XPRIZE or the prestigious Science journal and were selected by Fast Company in 2017 as one of the top 10 most innovative companies in AI (sharing ranking with Google, IBM and Baidu). Furthermore, we have big corporate clients such already on board. With Iris.ai, we will be first targeting the materials science R&D market, estimated to be worth €85 billion by 2024 and growing at a 10.4% CAGR (period 2015-2024) although our long-term goal is R&D at large globally valued at €1400 billions per year. By using a freemium business model approach, we expect to have a cumulative net profit of €55.8M and have hired 100 new professionals by the end of 2023.

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

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