Patents by Inventor Andrew Toloff

Andrew Toloff 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).

  • Publication number: 20250053617
    Abstract: Provided are systems and methods which can use machine learning to draw additional inferences about transaction records from transaction strings. In one example, a method may include converting a plurality of transaction strings corresponding to a plurality of transactions into a plurality of vectors in multidimensional vector space, respectively, via execution of a machine learning model, identifying a cluster of vectors in the multidimensional space that correspond to a subset of transactions among the plurality of transactions that are related based on distances between the cluster of vectors in the multidimensional space, identifying a representative vector within the cluster that corresponds to an exemplary transaction of the subset of transactions based on the cluster of vectors, and storing the representative vector within a data store.
    Type: Application
    Filed: August 9, 2023
    Publication date: February 13, 2025
    Inventors: Tyler Howard, Andrew Toloff, Jason Robinson
  • Publication number: 20240394320
    Abstract: Provided are systems and methods for providing insights to users of a mobile application based on triggers that may be detected from within the data or externally. In one example, a method may include receiving, via a message transmitted to a uniform resource locator (URL) of a host platform, information about a user of a software application, reading a plurality of records associated with the user from the received information, the plurality of records comprising data and a plurality of timestamps, respectively, generating derived data based on the data included in the plurality of records, converting the plurality of timestamps into a single timing identifier that represents all of the plurality of timestamps, and transmitting, to a computing system, a notification comprising the derived data and the new timing identifier.
    Type: Application
    Filed: July 31, 2024
    Publication date: November 28, 2024
    Inventors: Marcel Crudele, John Michael Robertson, Kien Lam, Jeff Chelko, Nikhil Gorantla, Thaddeus Gholston, Andrew Toloff, Winn Martin
  • Publication number: 20240364710
    Abstract: Provided are systems and methods for verifying an identity of a user based on a data mesh created from various sources of truth. In one example, a method may include establishing, via a host platform, a first and a authenticated communication channel between a host server of a user account and a host server of a second user account, retrieving, via the first and second authenticated communication channels, PII of the user from the first and second user accounts and combining the PII into a meshed data set, determining a difference between the PII within the meshed data set, and verify an identity of the user based on the determined difference between the PII within the meshed data set and transmitting the verification to a computer system.
    Type: Application
    Filed: July 5, 2024
    Publication date: October 31, 2024
    Inventors: Marcel Crudele, Tyler Howard, Amanda Miguel, Jason Robinson, Andrew Toloff, Evan Johnson, Jeff Chelko, Elizabeth Wylie, Limor Mazlin, Raja Surireddy
  • Patent number: 12061661
    Abstract: Provided are systems and methods for providing insights to users of a mobile application based on triggers that may be detected from within the data or externally. In one example, a method may include receiving, via a message transmitted to a uniform resource locator (URL) of a host platform, information about a user of a software application, reading a plurality of records associated with the user from the received information, the plurality of records comprising data and a plurality of timestamps, respectively, generating derived data based on the data included in the plurality of records, converting the plurality of timestamps into a single timing identifier that represents all of the plurality of timestamps, and transmitting, to a computing system, a notification comprising the derived data and the new timing identifier.
    Type: Grant
    Filed: January 14, 2021
    Date of Patent: August 13, 2024
    Assignee: STEADY PLATFORM, INC.
    Inventors: Marcel Crudele, John Michael Robertson, Kien Lam, Jeff Chelko, Nikhil Gorantla, Thaddeus Gholston, Andrew Toloff, Winn Martin
  • Patent number: 12034739
    Abstract: Provided are systems and methods for verifying an identity of a user based on a data mesh created from various sources of truth. In one example, a method may include establishing, via a host platform, a first and a authenticated communication channel between a host server of a user account and a host server of a second user account, retrieving, via the first and second authenticated communication channels, PII of the user from the first and second user accounts and combining the PII into a meshed data set, determining a difference between the PII within the meshed data set, and verify an identity of the user based on the determined difference between the PII within the meshed data set and transmitting the verification to a computer system.
    Type: Grant
    Filed: January 21, 2022
    Date of Patent: July 9, 2024
    Assignee: STEADY PLATFORM LLC
    Inventors: Marcel Crudele, Tyler Howard, Amanda Miguel, Jason Robinson, Andrew Toloff, Evan Johnson, Jeff Chelko, Elizabeth Wylie, Limor Mazlin, Raja Surireddy
  • Publication number: 20240062099
    Abstract: Provided are systems and methods for matching two strings together. The process can identify differences between the two strings, store values representing the differences between the two strings in a vector and compare the vectorized string difference values to each other using machine learning. In one example, a method may include receiving a request to compare a source string and a target string, generating a vector and encoding attributes within the vector, wherein the attributes comprise editing steps for converting the source string into the target string, determining whether the source string is a match to the target string via execution of a machine learning model on the generated vector with the attributes encoded therein, and storing a determination output of the machine learning model in memory.
    Type: Application
    Filed: August 16, 2022
    Publication date: February 22, 2024
    Inventors: Nathan Crockett, Jason Robinson, Tyler Howard, Andrew Toloff
  • Patent number: 11798100
    Abstract: Provided are systems and methods for identifying a counterpart entity of a transaction from a transaction string. In one example, a method may include identifying a transaction string from an account of a target entity, the transaction string comprising a record of a payment that changed a balance of the account, executing a machine learning model based on the transaction string to determine a counterpart entity of the transaction with respect to the target entity, wherein, during execution, the machine learning model receives the transaction string as input and outputs an identifier of the counterpart entity, generating a data structure comprising a first field that stores the transaction string and a second field that stores an identifier of the counterpart entity, and storing the data structure within a file.
    Type: Grant
    Filed: June 9, 2021
    Date of Patent: October 24, 2023
    Assignee: Steady Platform LLC
    Inventors: Tyler Howard, Jason Robinson, John Michael Robertson, Nathan Crockett, Andrew Toloff, Winn Martin, Marcel Crudele
  • Publication number: 20230274371
    Abstract: Provided are systems and methods for identifying unclaimed sources of funds such as employers, gig opportunities, businesses, and the like. The process can be used as part of a larger process that may also include fraud checks, deduplication of data, verification of users, analytical insight, and the like. In one example, a method may include establishing a communication channel with a third-party data source via an application programming interface (API), ingesting data records of the user from the third-party data source via the established communication channel based on an account identifier, identifying an unclaimed source of income based on a data value stored within the ingested data records, and displaying an identifier of the unclaimed source of income and an input mechanism which is configured to confirm the identified unclaimed source of income.
    Type: Application
    Filed: February 23, 2023
    Publication date: August 31, 2023
    Inventors: Marcel Crudele, Jason Robinson, Nathan Crockett, Andrew Toloff, Tyler Howard, Raja Surireddy
  • Publication number: 20230008975
    Abstract: Provided are systems and methods for verifying an identity of a user based on a data mesh created from various sources of truth. In one example, a method may include establishing, via a host platform, a first and a authenticated communication channel between a host server of a user account and a host server of a second user account, retrieving, via the first and second authenticated communication channels, PII of the user from the first and second user accounts and combining the PII into a meshed data set, determining a difference between the PII within the meshed data set, and verify an identity of the user based on the determined difference between the PII within the meshed data set and transmitting the verification to a computer system.
    Type: Application
    Filed: January 21, 2022
    Publication date: January 12, 2023
    Inventors: Marcel Crudele, Tyler Howard, Amanda Miguel, Jason Robinson, Andrew Toloff, Evan Johnson, Jeff Chelko, Elizabeth Wylie, Limor Mazlin, Raja Surireddy
  • Publication number: 20220398583
    Abstract: Provided are systems and methods for reconciling transactions from different financial accounts via machine learning. In one example, a method may include storing a data file comprising a plurality of electronic transactions and a plurality of transaction records corresponding to the plurality of electronic transactions in memory, inputting the data file into a first machine learning model and identifying respective transaction attributes of the plurality of transaction records based on the input data file, determining, via execution of a second machine learning model, that a first transaction and a second transaction in the data file correspond to a common transaction based on attributes of the first and second transactions which are identified from respective transactions records of the first and second transactions, and modifying the data file to indicate that the first and second transactions correspond to the common transaction and storing the modified data file in the memory.
    Type: Application
    Filed: June 8, 2022
    Publication date: December 15, 2022
    Inventors: Marcel Crudele, Jason Robinson, Elizabeth Wylie, Andrew Toloff, Nathan Crockett, Evan Johnson, Amanda Miguel, Tyler Howard, Winn Martin
  • Publication number: 20220398573
    Abstract: Provided are systems and methods which can use machine learning to draw additional inferences about transaction records from transaction strings. The inferred data can be used to build a classification model configured to map transaction string to predefined categories. In one example, a method may include receiving a file comprising transaction strings corresponding to a plurality of transaction records, executing the machine learning model on the transaction strings to identify a plurality of categories associated with the transaction strings, generating a classifier model that comprises patterns of keywords from the transactions strings mapped to the plurality of identified categories, respectively, and storing the classifier model in the data store.
    Type: Application
    Filed: July 19, 2022
    Publication date: December 15, 2022
    Inventors: Jason Robinson, Andrew Toloff, Tyler Howard, Nathan Crockett, Amanda Miguel, Marcel Crudele
  • Publication number: 20220398670
    Abstract: Provided are systems and methods for identifying a counterpart entity of a transaction from a transaction string. In one example, a method may include identifying a transaction string from an account of a target entity, the transaction string comprising a record of a payment that changed a balance of the account, executing a machine learning model based on the transaction string to determine a counterpart entity of the transaction with respect to the target entity, wherein, during execution, the machine learning model receives the transaction string as input and outputs an identifier of the counterpart entity, generating a data structure comprising a first field that stores the transaction string and a second field that stores an identifier of the counterpart entity, and storing the data structure within a file.
    Type: Application
    Filed: June 9, 2021
    Publication date: December 15, 2022
    Inventors: Tyler Howard, Jason Robinson, John Michael Robertson, Nathan Crockett, Andrew Toloff, Winn Martin, Marcel Crudele
  • Publication number: 20210224339
    Abstract: Provided are systems and methods for providing insights to users of a mobile application based on triggers that may be detected from within the data or externally. In one example, a method may include receiving, via a message transmitted to a uniform resource locator (URL) of a host platform, information about a user of a software application, reading a plurality of records associated with the user from the received information, the plurality of records comprising data and a plurality of timestamps, respectively, generating derived data based on the data included in the plurality of records, converting the plurality of timestamps into a single timing identifier that represents all of the plurality of timestamps, and transmitting, to a computing system, a notification comprising the derived data and the new timing identifier.
    Type: Application
    Filed: January 14, 2021
    Publication date: July 22, 2021
    Inventors: Marcel Crudele, John Michael Robertson, Kien Lam, Jeff Chelko, Nikhil Gorantla, Thaddeus Gholston, Andrew Toloff, Winn Martin