Patents by Inventor Niklas AHLGREN

Niklas AHLGREN has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Current value estimation using machine learning
    Patent number: 11373200
    Abstract: There is provided a system, method and computer program product for estimating a current value of an intangible asset, by obtaining a source file representing the intangible asset; analyzing the source file to identify at least one characteristic; classifying the source file to belong to at least one class based on the identified at least one characteristic; obtaining one or more evaluation parameters associated with the creator of the intangible asset from at least one first data source; obtaining any historical values associated with the intangible asset; predicting, using a machine learning model, a future value of the intangible asset based on the selected at least one class; the one or more evaluation parameter; and any obtained historical value; and estimating, by the machine learning model, the current value of the intangible asset based on the predicted future value and a pre-set time period.
    Type: Grant
    Filed: June 20, 2019
    Date of Patent: June 28, 2022
    Assignee: RITEBAND AB
    Inventors: Niklas Ahlgren, Linda Portnoff, Pontus Thorsson, Tone Pedersen
  • CURRENT VALUE ESTIMATION USING MACHINE LEARNING
    Publication number: 20210201339
    Abstract: There is provided a system, method and computer program product for estimating a current value of an intangible asset, by obtaining a source file representing the intangible asset; analyzing the source file to identify at least one characteristic; classifying the source file to belong to at least one class based on the identified at least one characteristic; obtaining one or more evaluation parameters associated with the creator of the intangible asset from at least one first data source; obtaining any historical values associated with the intangible asset; predicting, using a machine learning model, a future value of the intangible asset based on the selected at least one class; the one or more evaluation parameter; and any obtained historical value; and estimating, by the machine learning model, the current value of the intangible asset based on the predicted future value and a pre-set time period.
    Type: Application
    Filed: June 20, 2019
    Publication date: July 1, 2021
    Inventors: Niklas AHLGREN, Linda PORTNOFF, Pontus THORSSON, Tone PEDERSEN