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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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 Outcomes and results

 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.

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

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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