Patents Assigned to DECKARD TECHNOLOGIES, INC.
  • Patent number: 12277615
    Abstract: Described are medias, systems, and computer-implemented methods to detect improper residency status by performing a data mining task to data source to detect one or more improper residency indicia, applying a machine learning algorithm to identify an initial candidate, calculating a probability that the initial candidate has an improper residency status, and validating the detection. Further described are medias, systems, and computer-implemented methods to detect improper occupancy tax status.
    Type: Grant
    Filed: April 26, 2019
    Date of Patent: April 15, 2025
    Assignee: Deckard Technologies, Inc.
    Inventors: Gregory Rose, Jessica Flanagan, Anthony Moriarty
  • Patent number: 11790466
    Abstract: Provided herein are media, systems, and methods that identify the address of a rental property from public sources (e.g., rental listings, maps, and county property records). A data mining task process may be performed, by each of a plurality of first data ingestion interfaces to a unique external property data source, to determine at least one property record depiction, each property record depiction associated with a property record. A first machine learning algorithm may be applied to the at least one rental property depiction and the at least one property record depiction from each data source to identify one or more common property records, wherein each common property record comprises a property record that refers to the rental property. A data mining task process may be performed, by a second data ingestion interface to the one or more common property records to determine the street address of the rental property.
    Type: Grant
    Filed: October 2, 2020
    Date of Patent: October 17, 2023
    Assignee: Deckard Technologies, Inc.
    Inventors: Gregory G. Rose, Nickolas Del Pego, Craig Brown, Anthony Moriarty, Weikai Xie, Jessica Flanagan, Claire Hardgrove
  • Patent number: 11741560
    Abstract: Described are medias, systems, and computer-implemented methods to detect improper residency status by performing a data mining task to data source to detect one or more improper residency indicia, applying a machine learning algorithm to identify an initial candidate, calculating a probability that the initial candidate has an improper residency status, and validating the detection. Further described are medias, systems, and computer-implemented methods to detect improper occupancy tax status. Further described are medias, systems, and computer-implemented methods to detect an improper homeowner exemption.
    Type: Grant
    Filed: September 9, 2020
    Date of Patent: August 29, 2023
    Assignee: DECKARD TECHNOLOGIES, INC.
    Inventors: Gregory G. Rose, Nickolas Del Pego, Craig Brown