Where does Linear Algebra Technologies Limited rank among US patent assignees?

According to USPTO PatentsView (2015–2025 granted utility patents), Linear Algebra Technologies Limited ranks #16,164 of 49,997 assignees by granted-patent volume, the same sort as the companies listing and top-holders ranking. See /methodology/#corpus-placement.

How many patents does Linear Algebra Technologies Limited hold?

Linear Algebra Technologies Limited holds 18 US utility patents granted between 2015 and 2019, spanning 7 technology areas.

What is Linear Algebra Technologies Limited's Innovation Score?

Linear Algebra Technologies Limited has an Innovation Score of 33.0 out of 100 (43rd percentile of the corpus). This composite metric weighs portfolio volume (40%), grant velocity (20%), technology breadth (25%), and claim depth (15%).

What technology areas does Linear Algebra Technologies Limited focus on?

Linear Algebra Technologies Limited's top technology area is G06F (Electric Digital Data Processing) with 12 patents, ranking #3,141 of 13,878 assignees active in that subclass. Grants appear in 7 CPC subclasses total.

Is Linear Algebra Technologies Limited's patent grant rate increasing or decreasing?

Linear Algebra Technologies Limited's recent grant velocity is -100% compared to the prior five-year period (grant years, not application filing dates). Grant activity has slowed relative to earlier years.

What does claim depth mean for Linear Algebra Technologies Limited's patents?

Linear Algebra Technologies Limited's patents average 22.5 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.

How is the Linear Algebra Technologies Limited 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 2015–2025 USPTO PatentsView Foreign Corporation

Linear Algebra Technologies Limited

USPTO PatentsView assignee record - 18 granted patents across 7 technology areas, recorded in grant years 2015–2019. 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: G06F (Electric Digital Data Processing).

Compiled by PlainPatent · May 15, 2026

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Explore the portfolio See the ranking

The verdict

According to USPTO PatentsView, Linear ranks #16,164 of 49,997 tracked US assignees by granted-patent volume, with 18 patents across 7 technology areas.

#16,164
of 49,997 US assignees by volume: 43rd percentile
by Innovation Score (33.0/100): 22.5
avg claims per patent: -100%
grant velocity, last 5 yrs

USPTO PatentsView assignee plate

Corpus R16164 · Foreign Corporation #16,164 · 18 grants

GRANTS-MICRO · MID-PACK · PHOTO-FINISH · CPC-NARROW · INNOV-THIN · CLAIMS-DENSE · TYPE-FRNCORP · VEL-DROP · BOOK-FULL

GRANTS-MICRO 18 grants
MID-PACK #16,164/49,997
PHOTO-FINISH Launch Tech
CPC-NARROW G06F · 7 areas
INNOV-THIN 33.0/100
CLAIMS-DENSE 22.5 claims/avg
TYPE-FRNCORP Foreign Corp
VEL-DROP -100% vel
BOOK-FULL 10/10 fields

Nearest grant-volume peer: Launch Tech Co., Ltd. (±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.

How Linear’s 33.0 Innovation Score adds up

The same four weighted components behind every Innovation Score on PlainPatent: portfolio volume, grant velocity, technology breadth, and claim depth.

Volume 10.2 pts (31%) Velocity 0.0 pts (0%) Breadth 9.4 pts (28%) Claim depth 13.5 pts (41%)

Qualcomm Incorporated · highest

85
Linear Algebra · this assignee

33
3D Lighting… · lowest

7

What this shows Linear's Innovation Score is 33.0/100 (43rd percentile 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.

Does more volume mean deeper claims for Linear?

Each dot is one of Linear’s 8 nearest volume peers (same corpus rank neighbourhood as the chart above), placed by total granted patents (horizontal) against average claims per patent (vertical). Linear’s own 22.5 claims/patent is ABOVE the 17.9 median for these volume peers. More thorough claims than most filers at this scale, not just more of them.

Linear vs its 8 nearest volume peers: granted patents vs average claims per patent. Source: USPTO PatentsView.

Where Linear's grants concentrate

Linear Algebra Technologies Limited is a focused PatentsView assignee: 7 CPC subclasses with 66.7% of grants classified under G06F (Electric Digital Data Processing). Peak complete grant year is 2018 (6 grants) versus a trough of 2 in 2019. By volume, Linear sits between Launch Tech Co., Ltd. and Lynntech, Inc..

Launch Tech

18
Leapfrog Enterpri…

18
Legrand DPC

18
Lifelens

18
Lipocosm

18
Little Caesar Ent…

18
Lixte Biotechnolo…

18
Lynntech

18
Linear Algebra ◀

18

What this shows Linear holds 18 patents at rank #16,164, shown against the 8 assignees closest to it in grant volume rather than the industry's largest filers.

Companies ranked near Linear

By rank, the assignees closest to #16,164 in granted patent volume.

Leaders in G06F (Electric Digital Data Processing)

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

Linear's Innovation Score vs. every tracked assignee

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

33 43rd percentile higher than 43% 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 · 2015–2019

Grants by year

Teal-shaded recent years (2020–present) versus the 2015–2019 baseline. Full figures in the table below.

View data table

Linear Algebra Technologies Limited patent grants by year, 2015–2025
Year	Patents Granted	Share of Period
2015	4	22.2%
2016	3	16.7%
2017	3	16.7%
2018	6	33.3%
2019	2	11.1%

Which technologies does Linear Algebra Technologies Limited patent most?

G06F - Electric Digital Data Processing 12

G06T - Image Data Processing OR Generation, IN General 7

G06V - Image OR Video Recognition OR Understanding 5

H04N - Pictorial Communication, e.g. Television 3

G09G - Arrangements OR Circuits FOR Control OF Indicating Devices Using Static Means TO Present Variable Information 2

Y02D - Climate Change Mitigation Technologies IN Information AND Communication Technologies [ICT], I.E. Information AND Communication Technologies Aiming AT THE Reduction OF Their OWN Energy USE 2

H03M - CODING; DECODING; Code Conversion IN General 1

Top 7 of 7 technology areas

More on this record

Data Source

USPTO PatentsView, US granted patents 2015–2025

View all rankings → How is Innovation Score calculated?

What to do with this data

Linear Algebra Technologies Limited's patent record in context - here's where to go next.

Linear Algebra Technologies Limited's lead technology class is G06F (Electric Digital Data Processing), 66.7% of its portfolio - see every assignee active in that class. Explore G06F
Ranked #16,164 of 49,997 tracked assignees by patent volume - see the full leaderboard. See the ranking
Compare Linear Algebra Technologies Limited against Launch Tech Co., Ltd., an assignee filing at a similar volume. Compare portfolios
Innovation Score of 33.0/100 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.