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.

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

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.)

Dyme (2019)

Dyme gives its users complete control over their financial situation. The Dyme application provides insight into users’ spending and subscriptions, and lets users cancel, negotiate, or switch any cont

Read More  

HUD (2018)

COMMERCIALIZING THE FIRST HEAD-UP-DISPLAY FOR OFF-HIGHWAY VEHICLES

Read More  

DeltaQon (2019)

IOT and cloud computing for online medical analysis service platform

Read More