Vivun Inc.

Matthew James Darrow

John Robert Bruce

Joseph Patrick Miller

Rayne Krystopher Hernandez

Alexander Matthew Metelitsa

John Joseph Salvatore

Mark Stephan Baltzegar

In one embodiment, the disclosure provides a computer-implemented method comprising: generating a unique identifier associated with a digital electronic workspace, a project, a first account, and a second account; receiving, from the first account, input granting permissions to a second account; generating initial requirements data; receiving, a second input indicating a first set of one or more of the digital requirement objects to associate with the unique identifier; receiving, from the second account, a third input to generate and digitally store an additional digital requirement object and associating that object with the unique identifier; receiving input indicating consensus that the project should possess all the features described in natural language text summaries represented by the digital requirement objects; and changing a state value of a variable associated with the unique identifier to a new state and displaying an indication of the new state.

Machine mediated requirement management in a software trial management system

An example computer-implemented method embodying the disclosed technology comprises digitally storing a plurality of digital objects comprising first type digital objects and second type digital objects, each digital object comprising an electronic digital representation of natural language text, and certain first type digital objects each being associated with exactly one second type digital object; programmatically generating a corpus of digital documents from the plurality of digital objects; programmatically embedding the electronic digital representation of natural language text of each first type digital object not associated with one of the second type digital objects, thereby generating a second set of vectors; programmatically determining, for each of the second set of vectors, a corresponding set of nearest neighbor vectors from the first set of vectors; programmatically generating recommendation data indicating potential new associations between first type digital objects and second type digital objects; and displaying a representation of the recommendation data.

Natural language text processing for automated product gap clustering and display

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Oakland, CA, United States of America

Matthew James Darrow