Where does Center for Deep Learning in Electronics Manufacturing rank among US patent assignees?

According to USPTO PatentsView (2015–2025 granted utility patents), Center for Deep Learning in Electronics Manufacturing ranks #39,383 of 49,997 assignees by granted-patent volume, the same sort as the companies listing and top-holders ranking. See /methodology/#corpus-placement.

Is Center for Deep Learning in Electronics Manufacturing's patent grant rate increasing or decreasing?

Insufficient historical data is available to calculate a velocity trend for Center for Deep Learning in Electronics Manufacturing.

What does claim depth mean for Center for Deep Learning in Electronics Manufacturing's patents?

Center for Deep Learning in Electronics Manufacturing's patents average 19.3 claims each. This is an aggregate descriptive count from the grant record; it does not establish claim scope, legal strength, enforceability, or design-around risk.

USPTO 2015–2025 USPTO PatentsView US Corporation

Center for Deep Learning in Electronics Manufacturing

Q: How many patents does Center for Deep Learning in Electronics Manufacturing hold?

Center for Deep Learning in Electronics Manufacturing holds 6 US utility patents granted between 2021 and 2025, spanning 4 technology areas.

Q: What is Center for Deep Learning in Electronics Manufacturing's Innovation Score?

Center for Deep Learning in Electronics Manufacturing has an Innovation Score of 45.4 out of 100 (top 23% of the corpus). This composite metric weighs portfolio volume (40%), grant velocity (20%), technology breadth (25%), and claim depth (15%).

Q: What technology areas does Center for Deep Learning in Electronics Manufacturing focus on?

Center for Deep Learning in Electronics Manufacturing's top technology area is G06N (Computing Arrangements Based ON Specific Computational Models) with 6 patents. Grants appear in 4 CPC subclasses total.

Q: How is the Center for Deep Learning in Electronics Manufacturing patent data sourced?

All patent data comes from USPTO PatentsView, a public research dataset maintained by the United States Patent and Trademark Office covering US granted utility patents from 2015 to 2025.

USPTO PatentsView assignee record - 6 granted patents across 4 technology areas, recorded in grant years 2021–2025. Grant-trend analysis is cross-referenced to USPTO Patent Public Search; it does not measure application filings, current R&D, or legal strength. Primary class: G06N (Computing Arrangements Based ON Specific Computational Models).

Compiled by PlainPatent · May 15, 2026

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The verdict

According to USPTO PatentsView, Center ranks #39,383 of 49,997 tracked US assignees by granted-patent volume, with 6 patents across 4 technology areas.

#39,383
of 49,997 US assignees by volume: Top 23%
by Innovation Score (45.4/100): 19.3
avg claims per patent

USPTO PatentsView assignee plate

Corpus R39383 · US Corporation #39,383 · 6 grants

GRANTS-MICRO · LOWER-Q · PHOTO-FINISH · CPC-NARROW · INNOV-PAR · CLAIMS-RICH · TYPE-USCORP · SPAN-YRS · BOOK-RICH

GRANTS-MICRO 6 grants
LOWER-Q #39,383/49,997
PHOTO-FINISH CellMo Materials…
CPC-NARROW G06N · 4 areas
INNOV-PAR 45.4/100
CLAIMS-RICH 19.3 claims/avg
TYPE-USCORP US Corporation
SPAN-YRS 2021–2025 · 5y
BOOK-RICH 9/10 fields

Nearest grant-volume peer: CellMo Materials and Innovation, Inc. (±0 grants)

Instrument codes from this assignee’s USPTO PatentsView grant sheet: volume band, corpus rank, photo-finish peer, lead CPC, Innovation Score, claim depth, assignee type, velocity, and book completeness. Not a USPTO rating of patent strength.

Qualcomm Incorporated · highest

85
Center for Deep… · this assignee

45
3D Lighting… · lowest

7

What this shows Center's Innovation Score is 45.4/100 (top 23% of the PatentsView-derived corpus). The chart places that score against the nearest Innovation Score peers plus corpus poles, not a reprint of the volume ranking.

Where Center's grants concentrate

Center for Deep Learning in Electronics Manufacturing is a focused PatentsView assignee: 4 CPC subclasses with 100% of grants classified under G06N (Computing Arrangements Based ON Specific Computational Models). Peak complete grant year is 2023 (2 grants) versus a trough of 1 in 2021. By volume, Center sits between CellMo Materials and Innovation, Inc. and Cerebrotech Medical Systems, Inc..

Center's three-year grant acceleration

Center for Deep Learning in Electronics Manufacturing shows 4 grants in 2022–2024 against only 1 in 2019–2021. That prior window is too thin for a growth multiple (rename and spin-out assignees look artificially high when the baseline is near zero), so PlainPatent withholds a ranked acceleration claim here.

Cellmo Materials…

6
Cellmobility

6
Cellmosaic

6
Centauri Therapeu…

6
Center for Excell…

6
Centrotherm Photo…

6
Cerasina

6
Cerebrotech Medic…

6
Center for Deep L… ◀

6

What this shows Center holds 6 patents at rank #39,529, shown against the 8 assignees closest to it in grant volume rather than the industry's largest filers.

Companies ranked near Center

By rank, the assignees closest to #39,529 in granted patent volume.

Leaders in G06N (Computing Arrangements Based ON Specific Computational Mo…)

Other assignees with the most granted patents in Center's primary technology class.

Center's Innovation Score vs. every tracked assignee

Composite of portfolio volume, grant velocity, technology breadth, and claim depth (0–100)

45 Top 23% higher than 77% of 49,997 US assignees

Each bar is a band; taller bars hold more US assignees. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count, share, and where it sits relative to this entry.

Source USPTO PatentsView, PlainPatent Innovation Score · 2015–2025

USPTO utility patent grants by year · 2021–2025

Grants by year

Teal-shaded recent years (2020–present) versus the 2021–2019 baseline. Full figures in the table below.

View data table

Center for Deep Learning in Electronics Manufacturing patent grants by year, 2015–2025
Year	Patents Granted	Share of Period
2021	1	16.7%
2022	1	16.7%
2023	2	33.3%
2024	1	16.7%
2025partial year	1	16.7%

Which technologies does Center for Deep Learning in Electronics Manufacturing patent most?

G06N - Computing Arrangements Based ON Specific Computational Models 6

G06F - Electric Digital Data Processing 5

G03F - Photomechanical Production OF Textured OR Patterned Surfaces, e.g. FOR Printing, FOR Processing OF Semiconductor DEVICES; Materials THEREFOR; Originals THEREFOR; Apparatus Specially Adapted THEREFOR; 3

G06T - Image Data Processing OR Generation, IN General 3

Top 4 of 4 technology areas

Where it ranks

Overall rank by patents

#39,383

of 49,997 tracked assignees

Innovation Score

45.4 out of 100

View all rankings →

Data Source

USPTO PatentsView, US granted patents 2015–2025

How is Innovation Score calculated?

What to do with this data

Center for Deep Learning in Electronics Manufacturing's patent record in context - here's where to go next.

Center for Deep Learning in Electronics Manufacturing's lead technology class is G06N (Computing Arrangements Based ON Specific Computational Models), 100% of its portfolio - see every assignee active in that class. Explore G06N
Ranked #39,383 of 49,997 tracked assignees by patent volume - see the full leaderboard. See the ranking
Compare Center for Deep Learning in Electronics Manufacturing against CellMo Materials and Innovation, Inc., an assignee filing at a similar volume. Compare portfolios
Innovation Score of 45.4/100 blends volume, velocity, technology breadth, and claim depth. How it's calculated

Figures reflect USPTO PatentsView grant data through May 2026; pending applications not yet granted are not counted.

Data sourced from USPTO PatentsView - official U.S. government patent data. See our methodology for computation details. Retrieved and formatted by PlainPatent

Disclaimer: This information is provided for informational purposes only and does not constitute professional advice. Data is sourced from the USPTO PatentsView database. Consult a qualified professional before making decisions based on this data.

Read our methodology - how this data is sourced, computed, and verified.

Data sources used on this page

USPTO PatentsView - the disambiguated bulk patent-grant, assignee, and CPC data this page's figures are derived from. patentsview.org
Cooperative Patent Classification (CPC) - the joint USPTO/EPO classification scheme used to group patents by technology area. cooperativepatentclassification.org
USPTO Patent Public Search - the official interface to verify the status of any individual patent. ppubs.uspto.gov

Compiled by PlainPatent, US Patent Intelligence Editorial Process · May 15, 2026

Every figure on PlainPatent is rendered directly from USPTO source data, no number is typed in by an editor. This page draws directly on USPTO source data, no figure is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error. Data current as of May 2026.