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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.

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

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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