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.

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

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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