PlaceToRent

PlaceToRent

Created using Figma
Created using Figma

Ultimo aggiornamento

5 giu 2018

PlaceToRent automatizza il processo di noleggio, utilizza l'intelligenza artificiale, supporta le famiglie con una cronologia dei crediti invisibile, l'accesso alle opportunità di noleggio e una piattaforma di noleggio di prossima generazione a prezzi accessibili. Il nostro obiettivo è quello di apportare un grande valore al settore del noleggio, per fornire transazioni trasparenti e sicure a tutti i partecipanti al mercato del noleggio, riducendo al contempo la necessità di supervisione da parte di terzi, equità nel processo di noleggio È di fornire un'esperienza sicura ed economica.
Token Sale
4 lug 2018
25 set 2018
100% completato
Fondi raccolti - nessun dato
Obbiettivo 30 000 000.00 USD
berretto 1 000 000.00 USD
past
Pre-Sale
4 giu 2018
4 lug 2018
100% completato
Fondi raccolti - nessun dato
Hard cap 30 000 000.00 USD
past
  • 500 PTRT
    =
    1 ETH
Dettagli del token
telescrivente
PTRT
Valute accettate
ETH, BTC
dettagli aggiuntivi
piattaforma
Ethereum
categorie
piattaforma

Di PlaceToRent

PlaceToRent is a decentralized global peer-to-peer rental platform in the space of commercial and residential rentals designed to facilitate and streamline the rental process through blockchain technology by providing transparent and efficient transactions while reducing the need for a trusted third party, and offer tools for such underserved segments of rental population as younger and low-income households to stand out in low vacancy markets. PlaceToRent is the first cryptographic real estate rental platform to leverage artificial intelligence and machine learning to assist households with invisible credit or work history in gaining access to rental opportunities and affordability. Our goal is to bring significant value to the rental industry and offer to all rental market participants a fair, secure and less costly experience within the rental process.

Our Vision

By employing best-of-the-breed technologies, PlaceToRent is poised to deliver towards its grand vision to explore big-picture problems and dream up innovative solutions. The diversity of the rental population creates opportunities for PlaceToRent to offer responsible, sustainable and innovative tools to a vibrant and stable demographic ignored by traditional rental process. At PlaceToRent, we strive to promote data democracy, increase the level of rental market inclusion and expand the number of alternatives for the underserved. We believe in a more trusted, safe, and equitable shared cyberspace where you can interact with each other directly in your digital communities and have a peace of mind that your counterparty is who they say they are, without entrusting a central organization with your data and privacy. We believe control belongs to you.

Our Team

PlaceToRent team is an interdisciplinary crew of dedicated professionals from all over the world who are committed to transforming the rental experience worldwide using blockchain technology and who have the skills and knowledge necessary to deliver towards our grand vision. Our Engineering operations are based in Saudi Arabia, and our team and advisors come from US, Canada, European Union and Japan. Their work experience spans the fields of finance, data analytics, AI, engineering, research, development, design, system architecture, and retail.

Our Platform

As blockchain continues to evolve, it is challenging the status quo of the present rental market and its existing business models and processes. In response to greater demand for transparency and disintermediation, PlaceToRent has designed an integrated ecosystem of the commercial and residential rental marketplace powered by blockchain decentralized technology, self-executing smart contracts, and utility tokens with the aim to transcend consumer expectations and to capitalize on major opportunities within the rental market. To-date, we have conducted a thorough market research and analysis, defined the project’s technical specifications, and designed our basic feature platform prototype which is currently undergoing development. We hope to fund the continuous active development of the PlaceToRent project through our Token sale, and secure the necessary capital to grow and expand our operations worldwide.

 

Caratteristiche

PlaceToRent si impegna ad aumentare il livello di inclusione nel mercato del noleggio e ad ampliare il numero di alternative per gli affittuari meno abbienti, in particolare per i giovani che non hanno alcun credito o storia lavorativa, utilizzando la previsione ibrida. Per consentire un processo di controllo migliore che può prevedere i futuri inquilini & rsquo; l'affidabilità creditizia a un proprietario quando una storia di credito o di lavoro non è ancora stata stabilita, PlaceToRent raccoglierà e analizzerà, oltre ai dati standard, informazioni quali scuole frequentate, area di studio, rendimento accademico / GPA, punteggi dei test standardizzati, storia lavorativa e altre informazioni rilevanti. Riteniamo che la nostra esclusiva analisi proprietaria fornirà al proprietario una raccomandazione più profonda per i futuri inquilini (in contrapposizione a solo un punteggio di credito o una storia lavorativa) e consentirà agli inquilini di distinguersi quando si applicano nei mercati a basso reddito. I nostri algoritmi rivoluzionari basati sull'intelligenza artificiale permetteranno ai proprietari di valutare l'affidabilità creditizia al di fuori dei controlli di credito convenzionali e delle verifiche del lavoro che alienano e penalizzano milioni di persone e aiuteranno una popolazione dinamica e stabile a qualificarsi per un'opportunità di affitto.

Inoltre, PlaceToRent fornirà la flessibilità finanziaria per gli affittuari consentendo loro di finanziare il loro trasferimento, deposito di sicurezza o spese di noleggio tramite funzionalità di crowdfunding integrata. & nbsp; Useremo l'apprendimento automatico per dare ai nostri utenti della piattaforma il miglior consiglio possibile. Ad esempio, implementeremo il calcolo ispirato ai prodotti biologici e Swarm Intelligence per prevedere tariffe di noleggio accurate in diverse posizioni geografiche. & Nbsp; Questo approccio fornirà grandi informazioni agli utenti della piattaforma identificando le migliori offerte nel mercato degli affitti, riducendo così i costi per gli inquilini e massimizzando i profitti ai proprietari terrieri. Per fornire agli inquilini e ai proprietari una migliore e più corretta esperienza sulla nostra piattaforma, PlaceToRent consentirà inoltre ai futuri inquilini di offrire un'offerta personalizzata di tariffe migliori insieme alla loro domanda di noleggio. Le offerte saranno & ldquo; sealed & rdquo; (cioè, non visibile agli inquilini in competizione per evitare le guerre di offerte e prevenire sconvolgimenti nei canoni di locazione

Informazioni tecniche

Technology

As technology evolves rapidly, we continually analyze our platform architecture and components and will apply appropriate technology in accordance with the tasks to be accomplished. Ethereum Virtual Machine, the most established blockchain-based distributed computing platform with smart contract functionality, is at the heart of the PlaceToRent platform. We will look to adopt Raiden and Plasma as Ethereum’s Layer 2. The blockchain technology enables near real-time settlement of transactions, which provides reliable data and reduces risk. Smart contracts allow transacting peer-to-peer in a secure and transparent environment, mitigating the risk of fraud, abuse, and manipulation. Our peer-to-peer distributed network will record a public history of all transactions and retain a secure source of proof that they occurred. Automating transactions between the tenant and landlord eliminates the need for a real estate broker or agent, saving our users thousands in commission fees. To address the blockchain's transaction speed, scalability, and privacy issues, PlaceToRent considers the Enigma protocol that uses “Somewhat Homomorphic Encryption Technology” with “secret contracts,” allowing data to be processed by nodes while being kept private. We will use machine learning to give our platform users the best advice possible. For example, we will implement bio-inspired computation and Swarm Intelligence to predict accurate rental rates in different geographical locations. The bio-inspired feature will become a self-evolving tool capable of generating the “best rental rate” solution. We will also implement Distribute Sparse Learning as a second layer to handle high-dimensional data. This approach will provide great insights to the platform users by identifying the best offers in the rental market, thus minimizing costs to tenants and maximizing profits to landlords. PlaceToRent will strive to expand the number of alternatives for the underserved, especially younger renters who have no credit or work history, by utilizing hybrid forecasting. Our revolutionary algorithms powered by Artificial Intelligence will allow landlords to assess creditworthiness outside conventional credit checks and work verifications and will help a vibrant and stable demographic qualify for a rental opportunity. For each executed lease with a tenant who has no credit or work history, PlaceToRent will incentivize landlords and property managers by reimbursing any previously charged related listing fees and rewarding them with PTRT tokens. Additionally, our platform will enable qualified renters to finance their rental expenses through a built-in peer-to-peer alternative financing feature.

% name% Roadmap

  • Q1 2017

  • Global rental market research and analysis.
  • Q2 2017

  • Interviews with industry professionals, investors and startups.
  • Q3 2017

  • Concept Design; Technical Specifications.
  • Q4 2017

  • Blockchain developers interviewed; Platform prototype.
  • Leggi di più
  • Q1 2018

  • Smart Contract prototype; Legal framework for the project; Smart Lock market research.
  • Q2 2018

  • Proof of concept; Whitepaper creation; Token Pre-Sale Event.
  • Q3 2018

  • Token Sale; Disbursement of tokens to contributors.
  • Q4 2018

  • Development of PlaceToRent platform; Partnerships with third-party service providers.
  • Q1 2019

  • Alpha-testing of the platform; Smart Lock technology specifications completed.
  • Q2 2019

  • Beta-testing of the platform; Marketing campaigns in key markets,
  • Q3 2019

  • Platform fully developed; Release of iOS and Android apps.
  • Q4 2019

  • Official launch in North America, UK, Canada, New Zealand and Australia.
  • Q1 2020

  • Tokenization of the platform; Multilanguage support.
  • Q2 2020

  • Expansion to South America and EU; Marketing campaign in target markets.
  • Q3 2020

  • Marketing campaign in target markets.
  • Q4 2020

  • API integration with third-party providers.
  • Q1 2021

  • Integration of Smart Lock technology (for both commercial and residential application) with the platform.
  • Q2 2021

  • Expansion to Eastern Europe and Russian Federation; Marketing campaign in target markets.
  • Q3 2021

  • Expansion to Asia; Marketing campaign in target markets.
  • Q4 2021

  • Expansion to Middle East; Marketing campaign in target markets.
  • Q1 2022

  • Expansion to Middle East; Marketing campaign in target markets.
  • Q2 2022

  • Introduction of facial and/or fingerprint technology for data validation.
  • Q3 2022

  • 5% of global real rental market transactions.
  • Q4 2022

  • Partnerships with Governmental Blockchains; Enabling data-driven utility service management and bill payment with tokens.

Attività

PlaceToRent Squadra

verificata 57%

Attenzione. C'è il rischio che i membri non verificati non siano effettivamente membri del team

Marvin Bear
Founder and CEO
verificata
Carlos Gironda,
CTO and Sr. Data Scientist
non verificato
Sachin Choube
Lead Blockchain Developer
verificata
Rob Davis
CMO
verificata
Dominic Donofrio
Blockchain Developer
non verificato
Jay Moar
Copywriter
non verificato
Alfredo Colina
Head of Hispanic Market PR & Digital Marketing
verificata

Advisors

verificata 0%

Attenzione. C'è il rischio che i membri non verificati non siano effettivamente membri del team

Toru Kazama
CEO of Leonhard Japan
non verificato
Illia Pashkov
Creative Technologist & Blockchain Designer
non verificato

33 ICOs

$84 448 913

Bogdan Fiedur
ICO Advisor
non verificato

34 ICOs

$30 442 422

Giovanni Casagrande
Blockchain and ICO Maestro
non verificato
Massimiliano Schilli...
Aerospace Engineer, AI Technology Evangelist
non verificato
Carl Jones
Digital Marketing Expert, Growth Hacker, Founder o...
non verificato

20 ICOs

$1 718 875

Timo Trippler
Member of Blockchain Advisory Council, Financial A...
non verificato
Randy Lim
Real Estate Broker, Investor
non verificato

PlaceToRent Interviste

Marvin Bear
As a team member, сan you tell us about your role in the ICO project? What do you think about idea?
Founder and President of PlaceToRent
Sachin Choube
As a team member, сan you tell us about your role in the ICO project? What do you think about idea?
I am working on solidity and micro services which are part of our projects
Rob Davis
As a team member, сan you tell us about your role in the ICO project? What do you think about idea?
Hello, I am the Chief Marketing Officer for PlaceToRent. Our project will revolutionize the commercial real estate rental process by leveraging AI and machine learning
Alfredo Colina
As a team member, сan you tell us about your role in the ICO project? What do you think about idea?
Thanks for this post, we appreciate all the efforts to spread the word about PlaceToRent project.
3.92
stable
5.0 6
ICO Profilo Visione Attività Potenziale Prodotto Squadra

% name% Recensioni

thetechinsider.org
reviews

Positives
PlaceToRent can provide an alternative method of funding rental payments
Improves rental property search with a very detailed history of property and landlord
Removes the need of a third party or intermediary which would likely take high commission and promote higher rental fees to gain higher commission
Incentive to landlords if they list their property on the platform and ease of tenant screening
Negatives
Transparency on the platform will only work if both sides of the party are fully honest with anything that occurs within the duration of them existing on the platform such as number of days before issue was solved. Tenant may have lied as he/she was scared of the landlord

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