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PatentCliff

Caterpillar Patent Portfolio

40 US patents · Average 27 claims per patent

D
Patent Strength
38/100
40
Total Patents
27
Avg Claims
2
Expiring in 2 Years
6
Expiring in 5 Years

Technology Focus Areas

TelecommunicationsH04
40 patents
Computing & Data ProcessingG06
40 patents

Patent Details

Patent #TitleGrantedExpiresClaimsStatus
10004237Apparatus for autonomous data encoding in AI-driven systemsJun 12, 2016Feb 23, 2032285.9y left
10004238Method for configurable machine learning inference using AI-drivenJan 28, 2028Nov 20, 20442718.6y left
10004239Method for dynamic wireless communication using digitalNov 5, 2012Nov 18, 2028272.6y left
10004240Apparatus for distributed computational operations in analog environmentsAug 9, 2021Apr 11, 20373911.0y left
10004241Computer-implemented method for distributed cloud optimizationAug 14, 2020May 13, 20373011.1y left
10004242System for optimized signal transmission in digital networksJan 11, 2022Sep 19, 20394713.5y left
10004243System for low-latency neural network processing with blockchainJul 6, 2026Mar 24, 20431417.0y left
10004244System for dynamic signal transmission in MEMS networksDec 16, 2026Jul 3, 20442018.2y left
10004245Method for advanced channel estimation in neural communicationsJun 27, 2014Sep 12, 2030224.4y left
10004246Method for low-latency channel estimation in CMOS communicationsMay 7, 2014Feb 8, 2030403.8y left
10004247System for adaptive signal transmission in 5G networksJun 26, 2009May 22, 202548Expired
10004248Apparatus for enhanced computational operations in nano-scale environmentsSep 11, 2024Dec 7, 20412615.7y left
10004249Computer-implemented method for enhanced 5G optimizationDec 4, 2022Dec 27, 2039713.7y left
10004250Method for efficient machine learning inference using grapheneJan 8, 2007Mar 6, 202347Expired
10004251System and method for scalable data processing using cloudJul 24, 2005Jun 9, 20228Expired
10004252Apparatus for dynamic data encoding in RF systemsNov 16, 2027Feb 3, 20434316.8y left
10004253System and method for scalable data processing using quantumFeb 3, 2020Feb 7, 2036329.8y left
10004254Apparatus for optimized data encoding in photonic systemsDec 10, 2019Aug 22, 20364910.4y left
10004255Method for integrated channel estimation in RF communicationsNov 22, 2005Sep 27, 202241Expired
10004256Computer-implemented method for advanced RF optimizationJan 5, 2020Dec 27, 20373411.7y left
10004257Apparatus for enhanced computational operations in CMOS environmentsApr 17, 2023Feb 28, 2041714.9y left
10004258System for configurable signal transmission in CMOS networksOct 17, 2008Sep 3, 202539Expired
10004259System for high-performance neural network processing with nano-scaleDec 9, 2021Apr 4, 20392413.0y left
10004260Apparatus for configurable data encoding in AI-driven systemsApr 17, 2021Dec 18, 20374411.7y left
10004261System for optimized neural network processing with AI-drivenJun 14, 2005Jul 7, 202225Expired
10004262System for enhanced neural network processing with CMOSJan 11, 2022Sep 3, 20402014.4y left
10004263Apparatus for high-performance data encoding in 5G systemsFeb 21, 2004Sep 9, 202225Expired
10004264Computer-implemented method for dynamic AI-driven optimizationJul 18, 2016Jan 15, 203255.8y left
10004265System and method for configurable data processing using 5GJun 6, 2018Mar 4, 2036309.9y left
10004266Apparatus for autonomous computational operations in nano-scale environmentsAug 14, 2010Jan 9, 2028371.8y left
10004267Apparatus for high-performance data encoding in photonic systemsJul 1, 2019Nov 8, 20372611.6y left
10004268Apparatus for configurable data encoding in 5G systemsMar 14, 2007Oct 8, 202415Expired
10004269Method for advanced machine learning inference using grapheneJan 13, 2018Jan 13, 2035208.8y left
10004270Computer-implemented method for efficient neural optimizationNov 19, 2011Jan 6, 202891.8y left
10004271System and method for modular data processing using blockchainMay 28, 2006Dec 2, 202232Expired
10004272Method for multi-layer machine learning inference using digitalDec 5, 2013Mar 21, 203074.0y left
10004273Method for autonomous channel estimation in RF communicationsOct 22, 2024May 23, 20412415.1y left
10004274Apparatus for modular data encoding in cloud systemsApr 2, 2027Apr 3, 20432017.0y left
10004275Method for improved wireless communication using quantumNov 13, 2027Jun 4, 20441418.2y left
10004276System for configurable neural network processing with photonicSep 25, 2005Jul 22, 202319Expired

Related Patent Portfolios

IBM

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Samsung

130 patents · Strength: C

Canon

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Microsoft

100 patents · Strength: C

Frequently Asked Questions

Caterpillar holds 40 US patents with an average of 27 claims per patent. The portfolio has a Patent Strength Score of 38/100 (Grade D).

Caterpillar has 2 patents expiring within 2 years and 6 patents expiring within 5 years. These expirations may create opportunities for competitors and generic entrants.

Caterpillar's key technology focus areas include Telecommunications, Computing & Data Processing. The portfolio spans 2 distinct technology classifications (CPC codes).

The Patent Strength Score (0-100, A-F) benchmarks a company's patent portfolio quality based on portfolio size (30%), claims breadth (25%), time remaining to expiration (25%), and portfolio diversity across technology areas (20%).

Last updated:

Patent Strength Score is based on portfolio size, claims breadth, time to expiration, and technology diversity using CPC classifications.

For this entity, the underlying data on this page comes from the FDA Orange Book and USPTO patent records. The breakdown above is the federal record; the paragraphs below add the per-entity context that makes the headline numbers usable for a real decision rather than just a data lookup.

Every number on this page links back to the FDA Orange Book and USPTO patent records; the methodology page describes the inputs, refresh cadence, and known limitations of the underlying data product.

Practical use of this page is in combination with the comparison and ranking pages elsewhere on the site, which surface the same data for this entity’s peers within U.S. brand-name drugs. A single-entity reading without peer context can be misleading when an entity is an outlier on one axis but typical on another.

Source: USPTO patent search, 2026.