Opendata, web and dolomites

CV4RE SIGNED

Computer vision with an eye For Real Estate

Total Cost €

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EC-Contrib. €

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Partnership

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 CV4RE project word cloud

Explore the words cloud of the CV4RE project. It provides you a very rough idea of what is the project "CV4RE" about.

savvy    photographs    digitally    offers    room    paas    som    rates    gives    tam    visual    living    flat    time    benefits    2012    271b    monetize    charge    completely    conversion    risk    compare    maximum    obtaining    scene    companies    revolutionize    decision    tags    5m    advantages    furnishing    direct    venture    estate    websites    platforms    doubled    confidence    corporations    competitive    site    vision    platform    16    267m    realistic    buyers    logos    falling    seo    141    clients    processed    adapt    automatically    fireplace    computer    sam    rising    agents    21b    global    physically    99    1200    homes    cv4re    hardwood    scores    service    bypass    fee    period    renters    tectonic    worst    accuracy    optimize    describes    independent    rely    descriptions    manually    customers    scans    model    thumbnails    home    portals    listings    accessibility    innovative    returns    speed    search    restb    88m    ai    missing    capital    internet    2016    consumers    organize    images    identifies    api    perceived    class    obsolete    allocations    crm    137m    image    tagged    online    recommend    realtech    shifts    easily    troublesome    classify    floors    business    boost    anonymity    2024   

Project "CV4RE" data sheet

The following table provides information about the project.

Coordinator
Mercurio Platform SL 

Organization address
address: CL DOCTOR AUGUET CANONGE 85 P3 PTA2
city: BARCELONA
postcode: 8840
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 Spain [ES]
 Project website https://restb.ai/
 Total cost 1˙695˙653 €
 EC max contribution 1˙186˙957 € (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-2018-2020-2
 Funding Scheme SME-2
 Starting year 2018
 Duration (year-month-day) from 2018-09-01   to  2020-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    Mercurio Platform SL ES (BARCELONA) coordinator 1˙186˙957.00

Map

 Project objective

Online real estate platforms are particularly at risk of falling behind the requirements of digitally savvy clients. Real estate portals rely on photographs of properties with manually tagged & often missing descriptions that make it troublesome for consumers to quickly research, compare & come to a decision about which properties they want to physically investigate. Online portals that do not adapt to the tectonic shifts in Consumer Attention risk internet anonymity at best &, at worst, of being perceived as so obsolete that buyers & renters completely bypass their websites. Restb.ai offers CV4RE, a computer vision API that scans real estate images and automatically returns, in real time, tags that classify the scene of the image (e.g. living room) and what features of interest are in this image (e.g. fireplace, hardwood floors). CV4RE identifies, tags, and describes properties, in the same way real estate agents would, obtaining very high confidence scores. Our Customers are online real estate portals, real estate CRM companies, independent real estate agents and home furnishing corporations. Our technology gives them the following benefits: Boost SEO, revolutionize site search, easily recommend similar homes, organize the images, enable visual comparison of listings, optimize thumbnails, improve conversion rates, improve site accessibility and monetize logos. Our competitive advantages are Real estate-specific tags, best-in-class accuracy (99%) and real time speed. The global capital allocations to direct real estate have doubled, rising from €141 B in 2012 to €271B in 2016. Over the same period venture capital funding into RealTech companies increased 1200% from €88M in 2012 to €2.21B in 2016 CV4RE has a TAM of €267M, SAM of €137M & SOM of €16.5M by 2024. Restb.ai has a realistic & innovative business model PaaS (Platform as a Service), where we charge a flat fee for a maximum of processed images per month.

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The information about "CV4RE" are provided by the European Opendata Portal: CORDIS opendata.

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