Patents by Inventor Alice Venancio Marques Serra

Alice Venancio Marques Serra 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).

  • Patent number: 11868366
    Abstract: A system architecture for linking one or more derived objects to existing data objects in a data structure can be organized in a variety of forms. A method for establishing the architecture may include linking first and second data objects. linking first and second data objects. The first and second data objects may be associated with corresponding first and second pluralities of properties. The method may include receiving a first user limitation associated with at least one of the first or second pluralities of properties and receiving a second user limitation associated with at least one of the first or second pluralities of properties. The method can include deriving a conclusion object comprising a third plurality of properties comprising a subset of one or more of the first or second pluralities of properties and linking the conclusion object to the first and second data objects.
    Type: Grant
    Filed: March 31, 2022
    Date of Patent: January 9, 2024
    Assignee: Palantir Technologies Inc.
    Inventors: Matthew Owens, Andrew Girvin, Alice Venancio Marques Serra, Daniel Williams, Myles Gurule, Harishchandra Ramadas, James Evans, Lekan Wang, Megha Arora, Nelson D'Antonio, Shannon Barnes, Anthony Sherbakov
  • Publication number: 20220222270
    Abstract: A system architecture for linking one or more derived objects to existing data objects in a data structure can be organized in a variety of forms. A method for establishing the architecture may include linking first and second data objects. linking first and second data objects. The first and second data objects may be associated with corresponding first and second pluralities of properties. The method may include receiving a first user limitation associated with at least one of the first or second pluralities of properties and receiving a second user limitation associated with at least one of the first or second pluralities of properties. The method can include deriving a conclusion object comprising a third plurality of properties comprising a subset of one or more of the first or second pluralities of properties and linking the conclusion object to the first and second data objects.
    Type: Application
    Filed: March 31, 2022
    Publication date: July 14, 2022
    Inventors: Matthew Owens, Andrew Girvin, Alice Venancio Marques Serra, Daniel Williams, Myles Gurule, Harishchandra Ramadas, James Evans, Lekan Wang, Megha Arora, Nelson D'Antonio, Shannon Barnes, Anthony Sherbakov
  • Patent number: 11294928
    Abstract: A system architecture for linking one or more derived objects to existing data objects in a data structure can be organized in a variety of forms. A method for establishing the architecture may include linking first and second data objects. The first data object may include a first plurality of properties, and the second data object may include a second plurality of properties. At least one of the second plurality of properties may be based on the first plurality of properties. The method may further include receiving, by a computer, a user limitation of a property type that is associated with the at least one of the second plurality of properties. The method may include deriving, based on the user limitation, a new object that includes a third plurality of properties. The third plurality of properties may include a subset of one or more of the first and second pluralities of properties. The new object may be linked to the first and second data objects.
    Type: Grant
    Filed: January 29, 2019
    Date of Patent: April 5, 2022
    Assignee: Palantir Technologies Inc.
    Inventors: Matthew Owens, Andrew Girvin, Alice Venancio Marques Serra, Daniel Williams, Myles Gurule, Harishchandra Ramadas, James Evans, Lekan Wang, Megha Arora, Nelson D'Antonio, Shannon Barnes, Anthony Sherbakov