Patents Assigned to Skyline AI Ltd.
  • Publication number: 20200211132
    Abstract: A system and method for computerized method for generating a probability score indicative of a probability that an owner will sell a real estate property, comprising: collecting from data sources a set of data associated with a plurality of owners and a plurality of commercial real estate properties (CREs) related thereto, based on a data item indicating a type of a desirable CRE; analyzing the collected set of data using a machine learning technique executed by a computer; determining, based on the analysis, a desirable CRE, and an owner associated with the desirable CRE; determining a probability that the owner will sell the desirable CRE with a certainty level above a predetermined threshold within a predefined time period; and generating, based on the analysis, a probability score that is indicative of the probability that the owner is likely to sell the desirable CRE within the predefined time period.
    Type: Application
    Filed: December 30, 2019
    Publication date: July 2, 2020
    Applicant: Skyline AI Ltd.
    Inventors: Or HILTCH, Guy ZIPORI, Shay BUSHINSKY, Shmuel UR
  • Publication number: 20190333172
    Abstract: A system and method for generating value prediction of commercial real-estate properties (CREs), comprising: receiving a location pointer associated with at least one CRE, where a location pointer is an identifying parameter associated with the CRE; extracting metadata associated with the at least one CRE; analyzing the metadata of the CRE and of comparable properties (comparables), where the analysis includes matching real estate factors of the CRE and the comparables; and generating at least one value prediction of the CRE based on the analysis.
    Type: Application
    Filed: April 23, 2019
    Publication date: October 31, 2019
    Applicant: Skyline AI Ltd.
    Inventors: Or HILTCH, Guy ZIPORI, Shmuel UR
  • Publication number: 20190130505
    Abstract: A method and system analyzing transactional data are provided. The method includes gathering transaction data related to a first physical entity; extracting a first set of features representing the first entity; gathering transaction data related to a second physical entity, wherein the at least one second physical entity is indirectly related to the first physical entity; extracting at least a second set of features associated with the at least one second physical entity; matching the first set of features to the second set features; and clustering the first set of features and the second set of features, when the first set of features matches the second set of features.
    Type: Application
    Filed: November 1, 2018
    Publication date: May 2, 2019
    Applicant: Skyline AI Ltd.
    Inventors: Or HILTCH, Guy ZIPORI, Shay BUSHINSKY