Opendata, web and dolomites

AI-Inspect SIGNED

AI-Inspect - an artificial intelligence tool for instant inspection of commercial properties

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 AI-Inspect project word cloud

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

approx    companies    created    manufacturing    retail    aerial    improper    sites    solutions    world    perspective    regions    risk    artificial    innovation    multifamily    tool    computer    rapid    caused    office    site    reinsurance    globally    surveys    service    estate    eur    refine    feasibility    coverage    15    moment    competition    instant    strategy    shared    mind    reduce    million    share    explore    queries    fit    regional    losses    conduct    tensorflight    accurate    pilot    satellite    images    ultimate    pricing    insurance    keeping    company    niche    hospitals    insect    intelligence    pictures    credible    perform    ai    quality    commercial    plan    automated    economy    cover    ahead    innovative    events    bearing    risky    remote    scalability    owners    markets    climate    vision    inspect    learning    lower    valuation    boost    specificity    stability    countries    portfolios    estimate    market    catastrophic    first    schools    street    deep    extremely    buildings   

Project "AI-Inspect" data sheet

The following table provides information about the project.

Coordinator
TENSORFLIGHT POLAND SPOLKA ZOGRANICZONA ODPOWIEDZIALNOSCIA 

Organization address
address: WARSZAWSKA 6 M. 32
city: BIALYSTOK
postcode: 15-063
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 Poland [PL]
 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 2020
 Duration (year-month-day) from 2020-01-01   to  2020-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TENSORFLIGHT POLAND SPOLKA ZOGRANICZONA ODPOWIEDZIALNOSCIA PL (BIALYSTOK) coordinator 50˙000.00

Map

 Project objective

Tensorflight has created AI-Inspect, an artificial intelligence tool for the instant, remote and fully automated analysis of the different features of commercial buildings for the insurance and reinsurance sector. We develop the most advanced computer vision methods based on deep learning and are the first company that analyses not only satellite/aerial images but also street-level pictures. Due to the high scalability of our innovation, we are able to quickly provide information on large portfolios of commercial properties from any part of the world. We will cover a market niche where at the moment no one can provide a high-quality, rapid service and facilitate the credible risk assessment of properties such as retail and manufacturing sites, office and multifamily buildings, hospitals, schools, etc. AI-Insect will help insurance and reinsurance companies to reduce costs of on-site surveys and reduce losses caused by improper valuation. As a result, both the owners and the users of the properties will share lower costs of the insurance coverage. In a 5 years perspective, we estimate to analyse no less than 15.5 million queries at a cost of approx. 1 EUR each. Better insurance coverage in the real estate sector is extremely important bearing in mind the climate change. Accurate risk assessment is crucial for large insurance and reinsurance companies to step into more risky markets in the developing countries. The ultimate result is a globally shared risk of catastrophic events and higher stability of the economy in different regions of the world. In this feasibility study, we plan to perform a comprehensive market analysis that will refine the pricing strategy to fit regional specificity and identify new partners to conduct pilot testing on new markets. A technical assessment will also be conducted to explore innovative solutions that will allow us to boost AI-Inspect's capabilities, keeping us far ahead of the competition.

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

COPI (2020)

Carbon Offset Plug-in

Read More  

LIVELMIA (2019)

Innovative assay for microRNAs analysis

Read More  

Magnesys (2019)

Efficient filtering of metallic impurities in food processing

Read More