Capital One Services, Llc Patent Portfolio Statistics

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Capital One Services, Llc

Profile Summary

This article summarizes the perfomance of the assignee in the recent years. The overall statistics for this portfolio help to analyze the areas where the assignee is performing well. The filing trend, perfomance across the tech centers and the perfomance of the recent applications has been mentioned below. All the stats are calculated based on the perfomance in USPTO.

How does the overall patent portfolio of Capital One Services, Llc look like?

Assignee Art Units
Total Applications: 4,160 1,200,347
Granted Patents: 2,577 607,245
Grant Index 91.06% ↑ 72.47%
Abandoned/Rejected Applications: 253 (8.94%) 230,655 (27.53%)
In-Process Applications: 1,253 362,447
Average Grant Time: 1.72 Years ↓ 3.09 Years
Average Office Actions: 1.21 ↓ 1.88

Which Technology Area Capital One Services, Llc is filing most patents in? (Last 10 years)

Art Unit Definition Total Applications
Opap Parked GAU 519
2876 Optics 273
2887 Optics 164
3685 Business Methods 129
3694 Business Methods – Finance/Banking/ Insurance 113

How many patents are Capital One Services, Llc filing every year?

Year Total Applications Predicted
2022 0* 2491
2021 524* 2125
2020 1,022 1934
2019 1,271 1271
2018 710 –
2017 195 –
2016 84 –
2015 74 –
2014 75 –
2013 39 –

*The drop in the number of applications filed in last two years compared to previous years is because applications can take up to 18 months to get published

Recently filed patent applications of Capital One Services, Llc in USPTO?

Publication number: US20220107935A1
Application number: 17/553,983

Abstract:
Aspects described herein generally improve the quality, efficiency, and speed of data processing systems by generating staging data independently from the execution of control scripts which process the staging data. The staging data can be independently loaded, validated, and utilized across multiple control scripts, reducing redundancy in the loading of data and the overhead of executing separate data processing for each control script. The control scripts can be automatically validated, such as by verifying expected output data ranges. Additionally, the complexity of the control scripts can be reduced as the loading of data is not performed by the control scripts. The controls scripts can generate a variety of output data, such as an indication of impacted accounts, and provide notifications based on the output data. A variety of machine learning classifiers can be used to automatically generate the staging data and validate the staging data and/or output data.

Publication date: 2022-04-07
Applicant: Capital One Services, Llc
Inventors: Gulati Pulkit

Publication number: US20220150301A1
Application number: 17/644,635

Abstract:
A computer-implemented method includes receiving a plurality of messages in a thread associated with a topic, providing the plurality of messages to a machine learning model configured to classify messages based on groupings, identifying, by the machine learning model, a first grouping associated with a first subset of the plurality of messages in the thread, wherein the first grouping is identified based on the first subset of the plurality of messages deviating from the topic, initiating a new thread comprising the first subset of the plurality of messages, determining a first user group comprising a first plurality of users associated with the first subset of the plurality of messages and granting the first user group access to the first thread.

Publication date: 2022-05-12
Applicant: Capital One Services, Llc
Inventors: Goodsitt Jeremy

Publication number: US20220107851A1
Application number: 17/553,023

Abstract:
Systems and methods for managing Application Programming Interfaces (APIs) are disclosed. Systems may involve automatically generating a honeypot. For example, the system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving, from a client device, a call to an API node and classifying the call as unauthorized. The operation may include sending the call to a node-imitating model associated with the API node and receiving, from the node-imitating model, synthetic node output data. The operations may include sending a notification based on the synthetic node output data to the client device.

Publication date: 2022-04-07
Applicant: Capital One Services, Llc
Inventors: Goodsitt Jeremy

How are Capital One Services, Llc’s applications performing in USPTO?

Application Number Title Status Art Unit Examiner
17/553,983 Control Systems With Independent Data Processing Docketed New Case – Ready for Examination OPAP Central, Docket
17/644,635 Systems And Methods To Generate Contextual Threads Docketed New Case – Ready for Examination OPAP Central, Docket
17/553,023 Automated Honeypot Creation Within A Network Docketed New Case – Ready for Examination OPAP Central, Docket
17/551,887 Systems And Methods Of Key Selection For Cryptographic Authentication Of Contactless Cards Docketed New Case – Ready for Examination OPAP Central, Docket
17/551,889 Controlling A Spending Account Based On User Spending Habits Docketed New Case – Ready for Examination OPAP Central, Docket