Patents Assigned to Bottomline Technologies
  • Variable length deduplication of stored data
    Patent number: 10884643
    Abstract: A computer-implemented method for providing tenant aware, variable length, deduplication of data stored on a non-transitory computer readable storage medium. The method is performed at least in part by circuitry and the data comprises a plurality of data items. Each of the plurality of data items is associated with a particular tenant of a group of tenants that store data on the storage medium.
    Type: Grant
    Filed: April 19, 2019
    Date of Patent: January 5, 2021
    Assignee: Bottomline Technologies Limited
    Inventors: Zenon Buratta, Andy Dobbels
  • Variable Length Deduplication of Stored Data
    Publication number: 20200356293
    Abstract: A computer-implemented method for providing tenant aware, variable length, deduplication of data stored on a non-transitory computer readable storage medium. The method is performed at least in part by circuitry and the data comprises a plurality of data items. Each of the plurality of data items is associated with a particular tenant of a group of tenants that store data on the storage medium.
    Type: Application
    Filed: July 27, 2020
    Publication date: November 12, 2020
    Applicant: Bottomline Technologies Limited
    Inventors: Zenon Buratta, Andy Dobbels
  • Method for identifying non-exactly matching text
    Patent number: 10824809
    Abstract: A computer-implemented method for matching user inputted text to stored text. The user inputted text is compared to each of the text strings stored in a database using a Levenshtein distance algorithm. For each comparison, the Levenshtein distance is analyzed to determine exact matches, non-matches, and probable matches. Probable matches are further analyzed using a keyboard distance algorithm to differentiate between matches and non-matches.
    Type: Grant
    Filed: May 19, 2020
    Date of Patent: November 3, 2020
    Assignee: Bottomline Technologies (de), Inc.
    Inventors: Melissa Kutsch, Jessica Moran, Brian Amend, Sean Glerum
  • Method for Identifying Non-exactly Matching Text
    Publication number: 20200279076
    Abstract: A computer-implemented method for matching user inputted text to stored text. The user inputted text is compared to each of the text strings stored in a database using a Levenshtein distance algorithm. For each comparison, the Levenshtein distance is analyzed to determine exact matches, non-matches, and probable matches. Probable matches are further analyzed using a keyboard distance algorithm to differentiate between matches and non-matches.
    Type: Application
    Filed: May 19, 2020
    Publication date: September 3, 2020
    Applicant: Bottomline Technologies (de) Inc.
    Inventors: Melissa Kutsch, Jessica Moran, Brian Amend, Sean Glerum
  • Machine learning visualization
    Patent number: 10732789
    Abstract: A unique user interface for improving machine learning algorithms is described herein. The user interface comprises an icon with multiple visual indicators displaying the machine learning confidence score. When a mouse hovers over the icon, a set of icons are displayed to accept the teaching user's input. In addition, the words that drove the machine learning confidence score are highlighted with formatting so that the teaching user can understand what drove the machine learning confidence score.
    Type: Grant
    Filed: March 12, 2019
    Date of Patent: August 4, 2020
    Assignee: Bottomline Technologies, Inc.
    Inventors: Michael Marcinelli, Flora Kidani, John Canneto, Anne Baron, Jonathan Hewitt, William Cashman
  • Apparatus and method for identifying text that does not match exactly using dual authentication
    Patent number: 10699075
    Abstract: A computer-implemented method for matching user inputted text to stored text. The user inputted text is compared to each of the text strings stored in a database using a Levenshtein distance algorithm. For each comparison, the Levenshtein distance is analyzed to determine exact matches, non-matches, and probable matches. Probable matches are further analyzed using a keyboard distance algorithm to differentiate between matches and non-matches.
    Type: Grant
    Filed: January 24, 2019
    Date of Patent: June 30, 2020
    Assignee: Bottomline Technologies, Inc
    Inventors: Brian Amend, Sean Glerum, Melissa Kutsch, Jessica Moran
  • METHOD AND SYSTEM FOR AUTOMATED ACCOUNT OPENING DECISIONING
    Publication number: 20200151812
    Abstract: A method for using machine learning techniques to analyze past decisions (made be administrators concerning account opening requests) and to recommend whether an account opening request should be allowed or denied.
    Type: Application
    Filed: November 9, 2018
    Publication date: May 14, 2020
    Applicant: Bottomline Technologies (DE), Inc.
    Inventors: Leonardo Gil, Peter Cousins, Alexey Skosyrskiy
  • Securing Electronic Data by Automatically Destroying Misdirected Transmissions
    Publication number: 20200117800
    Abstract: A method for securing data by embedding the data in a data structure and utilizing a sensor device to detect transfer of the data structure. The data is embedded such that the data is only accessible by first executing an executable program. If the executable program determines that the device attempting to access the data (the accessing device) does not have permission to access the data, then the executable program destroys all or a portion of the data. If the data structure is transferred to another device, a sensor device positioned to detect the data structure when transferred will identify the data. If the sensor device determines that the data structure is not permitted to be transferred, then the sensor device destroys all or a portion of the data.
    Type: Application
    Filed: December 16, 2019
    Publication date: April 16, 2020
    Applicant: Bottomline Technologies (de) Inc.
    Inventors: Trevor Ramberg, Fred Ramberg
  • Method for securing electronic data by restricting access and transmission of the data
    Patent number: 10511605
    Abstract: A method for securing data by embedding the data in a data structure and utilizing a sensor to detect transfer of the data structure. The data is embedded such that the data is only accessible by first executing an executable program. If the executable program determines that the device attempting to access the data (the accessing device) does not have permission to access the data, then the executable program destroys the data. If the data structure is transferred to another device, a sensor positioned to detect the data structure when transferred will identify the data. If the sensor determines that the data structure is not permitted to be transferred, then the sensor destroys the data.
    Type: Grant
    Filed: June 1, 2016
    Date of Patent: December 17, 2019
    Assignee: Bottomline Technologies (de), Inc.
    Inventors: Fred Ramberg, Trevor Ramberg
  • Notification of a Security Breach on a Mobile Device
    Publication number: 20190373001
    Abstract: A method and device for providing notification of improper access to secure data on a mobile device. The mobile device detects a request to record content displayed on a display of the mobile device. A determination is then made regarding whether the content that was displayed on the screen when the request to record was received is protected content. If the displayed content was protected, then a third party is notified that a security breach has been detected. A remedial action is also performed regarding the security breach.
    Type: Application
    Filed: December 2, 2016
    Publication date: December 5, 2019
    Applicant: Bottomline Technologies (de) Inc.
    Inventors: Alexander Deeb, Durga Nagalla
  • Variable Length Deduplication of Stored Data
    Publication number: 20190243569
    Abstract: A computer-implemented method for providing tenant aware, variable length, deduplication of data stored on a non-transitory computer readable storage medium. The method is performed at least in part by circuitry and the data comprises a plurality of data items. Each of the plurality of data items is associated with a particular tenant of a group of tenants that store data on the storage medium.
    Type: Application
    Filed: April 19, 2019
    Publication date: August 8, 2019
    Applicant: Bottomline Technologies (de) Inc.
    Inventors: Zenon Buratta, Andy Dobbels
  • Apparatus and Method for Identifying Text that does not Match Exactly using Dual Authentication
    Publication number: 20190155903
    Abstract: A computer-implemented method for matching user inputted text to stored text. The user inputted text is compared to each of the text strings stored in a database using a Levenshtein distance algorithm. For each comparison, the Levenshtein distance is analyzed to determine exact matches, non-matches, and probable matches. Probable matches are further analyzed using a keyboard distance algorithm to differentiate between matches and non-matches.
    Type: Application
    Filed: January 24, 2019
    Publication date: May 23, 2019
    Applicant: Bottomline Technologies (DE), Inc.
    Inventors: Brian Amend, Sean Glerum, Melissa Kutsch, Jessica Moran
  • Tenant aware, variable length, deduplication of stored data
    Patent number: 10282129
    Abstract: A computer-implemented method for providing tenant aware, variable length, deduplication of data stored on a non-transitory computer readable storage medium. The method is performed at least in part by circuitry and the data comprises a plurality of data items. Each of the plurality of data items is associated with a particular tenant of a group of tenants that store data on the storage medium.
    Type: Grant
    Filed: October 24, 2017
    Date of Patent: May 7, 2019
    Assignee: Bottomline Technologies (de), Inc.
    Inventors: Andy Dobbels, Zenon Buratta
  • Dual authentication method for identifying non-exactly matching text
    Patent number: 10235356
    Abstract: A computer-implemented method for matching user inputted text to stored text. The user inputted text is compared to each of the text strings stored in a database using a Levenshtein distance algorithm. For each comparison, the Levenshtein distance is analyzed to determine exact matches, non-matches, and probable matches. Probable matches are further analyzed using a keyboard distance algorithm to differentiate between matches and non-matches.
    Type: Grant
    Filed: June 3, 2016
    Date of Patent: March 19, 2019
    Assignee: Bottomline Technologies (de), Inc.
    Inventors: Brian Amend, Sean Glerum, Melissa Kutsch, Jessica Moran
  • Method for tracking and routing financial messages for mobile devices
    Patent number: 10142267
    Abstract: A financial messaging apparatus configured to encapsulate and transmit a financial message along with actions to a mobile device. The actions relate to rules that are associated with characteristics of the financial message.
    Type: Grant
    Filed: February 12, 2018
    Date of Patent: November 27, 2018
    Assignee: BOTTOMLINE TECHNOLOGIES (DE) INC.
    Inventors: Leo Gil, Matthew Doherty, Brian Smith Mclaughlin
  • System and method for collecting clearing information for implementing a global electronic funds transfer
    Patent number: 9946995
    Abstract: A system and method is presented for receiving required information (i.e., clearing information) for performing a global electronic funds transfer. The system and method generates a form for receiving the clearing information from a user. The form includes clearing information fields that are each configured to accept an element of clearing information. The clearing information fields of the form are dynamically updated based on clearing information rules. The clearing information rules define a relationship between at least one of the clearing information fields and the clearing information received from the user. The dynamically updated form is provided to the user to input further clearing information.
    Type: Grant
    Filed: March 15, 2013
    Date of Patent: April 17, 2018
    Assignee: BOTTOMLINE TECHNOLOGIES (DE) INC.
    Inventors: Nicole Pierrette Dwyer, Nicholas Anthony Griffin, Michael Alan Vigue, Eric Campbell
  • Method for tracking and routing financial messages for mobile devices
    Patent number: 9929988
    Abstract: The present disclosure provides a financial messaging apparatus configured to encapsulate and transmit a financial message along with actions to a mobile device. The actions relate to rules that are associated with characteristics of the financial message.
    Type: Grant
    Filed: September 18, 2014
    Date of Patent: March 27, 2018
    Assignee: Bottomline Technologies (DE) Inc.
    Inventors: Leo Gil, Matthew Doherty, Brian Smith Mclaughlin
  • Application security system and method
    Patent number: 9667609
    Abstract: According to an aspect, a computing device includes a processor; a computer readable memory; a display screen; a touch sensitive panel overlying the display screen; and computing device application instructions coded in the computer readable memory and executed by the processor to: display a user-selectable photograph on the display screen, the user-selectable photograph including a group of fiducials, generate captured pattern data, the captured pattern data representing coordinate values on the touch sensitive panel where touched by a user, and provide for authentication of the user based on a comparison of the captured pattern data and respective locations of the group of fiducials included in the user-selectable photograph.
    Type: Grant
    Filed: January 31, 2013
    Date of Patent: May 30, 2017
    Assignee: BOTTOMLINE TECHNOLOGIES (DE) INC.
    Inventors: Brian Smith McLaughlin, Leonardo B. Gill, Marshall Joseph Tracy, Erik Vaughn Mitchell, Jeffrey Todd Dixon
  • Application security system and method
    Patent number: 9537848
    Abstract: According to an aspect, a computing device includes a processor; a computer readable memory; a display screen; a touch sensitive panel overlying the display screen; and computing device application instructions coded in the computer readable memory and executed by the processor to: display a user-selectable photograph on the display screen, the user-selectable photograph including a group of fiducials, generate captured pattern data, the captured pattern data representing coordinate values on the touch sensitive panel where touched by a user, and provide for authentication of the user based on a comparison of the captured pattern data and respective locations of the group of fiducials included in the user-selectable photograph.
    Type: Grant
    Filed: June 16, 2014
    Date of Patent: January 3, 2017
    Assignee: Bottomline Technologies, Inc.
    Inventors: Brian Smith McLaughlin, Leonardo B. Gil, Marshall Joseph Tracy, Erik Vaughn Mitchell, Jeffrey Todd Dixon, Durgaprasad Nagalla, Venkatesh Mohanraj
  • Hybrid clustering for data analytics
    Patent number: 9489627
    Abstract: The invention includes methods and systems for analyzing data to determine trends in the data and to identify outliers. The methods and systems include a learning algorithm whereby a data space is co-populated with artificial, evenly distributed data, and then the data space is carved into smaller portions whereupon the number of real and artificial data points are compared. Through an iterative process, clusters having less than evenly distributed real data are discarded. Additionally, a final quality control measurement is used to merge clusters that are too similar to be meaningful. The invention is widely applicable to data analytics, generally, including financial transactions, retail sales, elections, and sports.
    Type: Grant
    Filed: July 1, 2013
    Date of Patent: November 8, 2016
    Assignee: Bottomline Technologies (DE), Inc.
    Inventor: Jerzy W. Bala