Patents by Inventor Nikil Kumar Reddy

Nikil Kumar Reddy 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).

  • Autonomous accounting anomaly detection engine
    Patent number: 12293420
    Abstract: Novel tools and techniques are provided for detecting and correcting anomalous events in real-time in as users enter data into a general ledger. In various embodiments, a computing system may receive one or more user inputs. The computing system might analyze the one or more user inputs to determine whether there are one or more anomalous transactions associated with the one or more user inputs by obtaining historical information associated with the one or more user inputs and correlating, using one or more machine learning algorithms, the historical information and the one or more user inputs to detect one or more anomalies. Based on the correlation between the historical information and the one or more first user inputs, the computing system might detect at least one anomalous transaction and might generate one or more recommended actions to correct the at least one anomalous transaction.
    Type: Grant
    Filed: June 3, 2022
    Date of Patent: May 6, 2025
    Assignee: HighRadius Corporation
    Inventors: Nikil Kumar Reddy, Swami Subramanian, Sudakshina Chaudhury, Rohit Roy Burman
  • AUTONOMOUS ACCOUNTING ANOMALY DETECTION ENGINE
    Publication number: 20230206348
    Abstract: Novel tools and techniques are provided for detecting and correcting anomalous events in real-time in as users enter data into a general ledger. In various embodiments, a computing system may receive one or more user inputs. The computing system might analyze the one or more user inputs to determine whether there are one or more anomalous transactions associated with the one or more user inputs by obtaining historical information associated with the one or more user inputs and correlating, using one or more machine learning algorithms, the historical information and the one or more user inputs to detect one or more anomalies. Based on the correlation between the historical information and the one or more first user inputs, the computing system might detect at least one anomalous transaction and might generate one or more recommended actions to correct the at least one anomalous transaction.
    Type: Application
    Filed: June 3, 2022
    Publication date: June 29, 2023
    Inventors: Nikil Kumar Reddy, Swami Subramanian, Sudakshina Chaudhury, Rohit Roy Burman