IP Library Granted Patent US 12,695,790
Granted Patent B2
US 12,695,790 · App. 18/597,875 · Granted Jul 28, 2026

Platform for management and tracking of collaborative projects

Inventors: Jason Crabtree (Vienna, VA); Andrew Sellers (Monument, CO)
Assignee: QOMPLX LLC
H04L63/20G06F9/5038G06F16/2477G06F16/951H04L63/1425H04L63/1441G06F9/4881
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Quick Facts
Patent No.
US 12,695,790
App. No.
18/597,875
Granted
Jul 28, 2026
Kind
B2
Abstract

Management and tracking of collaborative projects using a logging service configured to track contributions of a plurality of participants of a monitored project and log the contributions in a graph and timeseries-based contributions dataset. A knowledge graph generator generates a timeseries-based knowledge graph from gathered information. An automated planning service determines an associated value of the monitored project and a remuneration service analyzes the contributions dataset to determine appropriate apportionment of remuneration.

Claims (57)

1 . A computing system for management and tracking of collaborative projects employing a collaborative platform, the computing system comprising:

one or more hardware processors configured for:

tracking contributions of a plurality of participants of a monitored project, wherein the contributions are formatted in a time-series contributions dataset;

gathering information from a plurality of sources including at least a competitor and investment insight service;

constructing a knowledge graph based at least on the timeseries-based contributions dataset and the information from the plurality of sources;

determining an associated value of the monitored project based at least on economic value of the monitored project by performing a plurality of graph analysis and transformations including edge analysis of the knowledge graph;

determining appropriate apportionment of remuneration based on relative contribution of the plurality of participants in the monitored project based on the plurality of graph calculations and transformations, including the edge analysis of the knowledge graph, and timeseries analysis on the time-series contributions dataset; and

automatically allocating remuneration in the determined apportionment.

2 . The computing system of claim 1 , wherein the one or more hardware processors are further configured for providing a user with an interface for interacting with the system.

3 . The computing system of claim 2 , wherein the interface is a labor board for posting and browsing resources.

4 . The computing system of claim 2 , wherein the interface is a massively multiplayer game, where a plurality of players is rewarded for solving in-game problems.

5 . The computing system of claim 2 , wherein the interface is a mixed-reality environment.

6 . The computing system of claim 2 , wherein the interface is a proposal board for posting proposals.

7 . The computing system of claim 1 , wherein the one or more hardware processors are further configured for autonomously creating a new project based at least on a user-defined trigger event.

8 . The computing system of claim 1 , wherein the one or more hardware processors are further configured for performing geospatial timeseries tracking of contributions and assets.

9 . A computer-implemented method executed on a collaborative platform for management and tracking of collaborative projects, the computer-implemented method comprising:

tracking contributions of a plurality of participants of a monitored project, wherein the contributions are formatted in a time-series contributions dataset;

gathering information from a plurality of sources including at least a competitor and investment insight service;

constructing a knowledge graph based at least on the timeseries-based contributions dataset and the information from the plurality of sources;

determining an associated value of the monitored project based at least on economic value of the monitored project by performing a plurality of graph analysis and transformations including edge analysis of the knowledge graph;

determining appropriate apportionment of remuneration based on relative contribution of the plurality of participants in the monitored project based on the plurality of graph calculations and transformations, including the edge analysis of the knowledge graph, and timeseries analysis on the time-series contributions dataset; and

automatically allocating remuneration in the determined apportionment.

10 . The computer-implemented method of claim 9 , further comprising providing a user with a plurality of interface options used for interacting with a computing system.

11 . The computer-implemented method of claim 10 , wherein the interface is a labor board for posting and browsing resources.

12 . The computer-implemented method of claim 10 , wherein the interface is a massively-multiplayer game, where a plurality of players is rewarded for solving in-game problems.

13 . The computer-implemented method of claim 10 , wherein the interface is a mixed-reality environment.

14 . The computer-implemented method of claim 10 , wherein the interface is a proposal board for posting proposals.

15 . The computer-implemented method of claim 9 , the computer-implemented method further comprising autonomously creating a new project based at least on a user-defined trigger event.

16 . The computer-implemented method of claim 9 , the computer-implemented method further comprising performing geospatial timeseries tracking of contributions and assets.

17 . A system for management and tracking of collaborative projects employing a collaborative platform, comprising one or more computers with executable instructions that, when executed, cause the system to:

track contributions of a plurality of participants of a monitored project, wherein the contributions are formatted in a time-series contributions dataset;

gather information from a plurality of sources including at least a competitor and investment insight service;

construct a knowledge graph based at least on the timeseries-based contributions dataset and the information from the plurality of sources;

determine an associated value of the monitored project by performing a plurality of graph analysis and transformations including edge analysis of the knowledge graph;

determine appropriate apportionment of remuneration based on relative contribution of the plurality of participants in the monitored project based on the plurality of graph calculations and transformations, including the edge analysis of the knowledge graph, and timeseries analysis on the time-series contributions dataset; and

predict costs, resources, labor requirements, and/or feasibility of the monitored project and/or one or more activities of the monitored project based on the plurality of graph calculations and transformations, including the edge analysis of the knowledge graph.

18 . The system of claim 17 , wherein the system is further caused to provide a user with an interface for interacting with the system.

19 . The system of claim 18 , wherein the interface is a labor board for posting and browsing resources.

20 . The system of claim 18 , wherein the interface is a massively multiplayer game, where a plurality of players is rewarded for solving in-game problems.

21 . The system of claim 18 , wherein the interface is a mixed-reality environment.

22 . The system of claim 18 , wherein the interface is a proposal board for posting proposals.

23 . The system of claim 17 , wherein the system is further caused to autonomously create a new project based at least on a user-defined trigger event.

24 . The system of claim 17 , wherein the system is further caused to perform geospatial timeseries tracking of contributions and assets.

25 . Non-transitory, computer-readable storage media having computer instructions embodied thereon that, when executed by one or more processors of a computing system employing a collaborative platform for management and tracking of collaborative projects, cause the computing system to:

track contributions of a plurality of participants of a monitored project, wherein the contributions are formatted in a time-series contributions dataset;

gather information from a plurality of sources including at least a competitor and investment insight service;

construct a knowledge graph based on the timeseries-based contributions dataset and the information from the plurality of sources;

determine an associated value of the monitored project by performing at least a plurality of graph analysis and transformations including edge analysis of the knowledge graph;

determine appropriate apportionment of remuneration based on relative contribution of the plurality of participants in the monitored project based on the plurality of graph calculations and transformations, including the edge analysis of the knowledge graph, and timeseries analysis on the time-series contributions dataset; and

predict costs, resources, labor requirements, and/or feasibility of the monitored project and/or one or more activities of the monitored project based on the plurality of graph calculations and transformations, including the edge analysis of the knowledge graph.

26 . The non-transitory, computer-readable storage media of claim 25 , wherein the computing system is further caused to provide a user with an interface for interacting with the computing system.

27 . The non-transitory, computer-readable storage media of claim 26 , wherein the interface is a labor board for posting and browsing resources.

28 . The non-transitory, computer-readable storage media of claim 26 , wherein the interface is a massively multiplayer game, where a plurality of players is rewarded for solving in-game problems.

29 . The non-transitory, computer-readable storage media of claim 26 , wherein the interface is a mixed-reality environment.

30 . The non-transitory, computer-readable storage media of claim 26 , wherein the interface is a proposal board for posting proposals.

31 . The non-transitory, computer-readable storage media of claim 25 , wherein the computing system is further caused to autonomously create a new project based at least on a user-defined trigger event.

32 . The non-transitory, computer-readable storage media of claim 25 , wherein the computing system is further caused to perform geospatial timeseries tracking of contributions and assets.

Assignments (4)
CHANGE OF NAME Recorded Jul 8, 2024
From: QPX LLC
To: QOMPLX LLC
Reel/Frame 067930/0619 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 6, 2024
From: QOMPLX, INC.
To: QPX LLC
Reel/Frame 068969/0262 →
CHANGE OF NAME Recorded Jun 22, 2024
From: FRACTAL INDUSTRIES, INC.
To: QOMPLX, INC.
Reel/Frame 067808/0546 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 15, 2024
From: CRABTREE, JASON; SELLERS, ANDREW
To: FRACTAL INDUSTRIES, INC.
Reel/Frame 067738/0989 →
Continuity (63)
Continuation 17189161 · Mar 1, 2021
Continuation In Part 17061195 · Oct 1, 2020
Continuation In Part 17035029 · Sep 28, 2020
Continuation In Part 17008276 · Aug 31, 2020
Continuation In Part 17000504 · Aug 24, 2020
Continuation In Part 16855724 · Apr 22, 2020
Continuation In Part 16836717 · Mar 31, 2020
Continuation In Part 15887496 · Feb 2, 2018
Continuation In Part 15823285 · Nov 27, 2017
Continuation In Part 15788718 · Oct 19, 2017
Continuation In Part 15788002 · Oct 19, 2017
Continuation In Part 15787601 · Oct 18, 2017
Continuation In Part 15616427 · Jun 7, 2017
Continuation In Part 14925974 · Oct 28, 2015
Continuation In Part 15818733 · Nov 20, 2017
Continuation In Part 15725274 · Oct 4, 2017
Continuation In Part 15655113 · Jul 20, 2017
Continuation In Part 15616427 · Jun 7, 2017
Continuation In Part 15237625 · Aug 15, 2016
Continuation In Part 15206195 · Jul 8, 2016
Continuation In Part 15186453 · Jun 18, 2016
Continuation In Part 15166158 · May 26, 2016
Continuation In Part 15141752 · Apr 28, 2016
Continuation In Part 15091563 · Apr 5, 2016
Continuation In Part 14986536 · Dec 31, 2015
Continuation In Part 14925974 · Oct 28, 2015
Continuation In Part 16777270 · Jan 30, 2020
Continuation In Part 16720383 · Dec 19, 2019
Continuation 15823363 · Nov 27, 2017
Continuation In Part 15725274 · Oct 4, 2017
Continuation In Part 16412340 · May 14, 2019
Continuation In Part 16267893 · Feb 5, 2019
Continuation In Part 16248133 · Jan 15, 2019
Continuation In Part 15849901 · Dec 21, 2017
Continuation In Part 15835436 · Dec 7, 2017
Continuation In Part 15790457 · Oct 23, 2017
Continuation In Part 15790327 · Oct 23, 2017
Continuation In Part 15616427 · Jun 7, 2017
Continuation In Part 15141752 · Apr 28, 2016
Continuation In Part 15835312 · Dec 7, 2017
Continuation In Part 15186453 · Jun 18, 2016
Continuation In Part 15813097 · Nov 14, 2017
Continuation In Part 15616427 · Jun 7, 2017
Continuation In Part 15806697 · Nov 8, 2017
Continuation In Part 15376657 · Dec 13, 2016
Continuation In Part 15237625 · Aug 15, 2016
Continuation In Part 15343209 · Nov 4, 2016
Continuation In Part 15237625 · Aug 15, 2016
Continuation In Part 15229476 · Aug 5, 2016
Continuation In Part 15206195 · Jul 8, 2016
Continuation In Part 15673368 · Aug 9, 2017
Continuation In Part 15376657 · Dec 13, 2016
Continuation In Part 15879801 · Jan 25, 2018
Continuation In Part 15379899 · Dec 15, 2016
Continuation In Part 15376657 · Dec 13, 2016
Continuation In Part 16709598 · Dec 10, 2019
Continuation In Part 14925974 · Oct 28, 2015
Provisional Application 62568298 · Oct 4, 2017
Provisional Application 62568312 · Oct 4, 2017
Provisional Application 62568305 · Oct 4, 2017
Provisional Application 62568291 · Oct 4, 2017
Provisional Application 62568307 · Oct 4, 2017
Related Publication 20240214428A1 · Jun 27, 2024
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