JPMORGAN CHASE BANK, N.A. AI Strategy 2025
JPMORGAN CHASE BANK, N.A. AI Strategy - 2025
In 2025, JPMORGAN CHASE BANK, N.A. has filed a diverse range of AI-related patent applications, reflecting its strategic focus on artificial intelligence innovations. This page analyzes patent applications submitted by JPMORGAN CHASE BANK, N.A. in different CPC (Cooperative Patent Classification) classes and identifies key technology trends.
Introduction
JPMORGAN CHASE BANK, N.A.'s AI patent strategy in 2025 showcases a robust approach to protecting and advancing its technological innovations across multiple areas. By securing patents in these key CPC classes, JPMORGAN CHASE BANK, N.A. not only strengthens its market position but also fosters continuous innovation in artificial intelligence and related technologies.
To date in 2025, JPMORGAN CHASE BANK, N.A. has filed 64 patent applications related to artificial intelligence technologies.
Key Technology Areas
CPC G06N20/00 (Machine learning)
JPMORGAN CHASE BANK, N.A.'s patent applications in this area focus on innovations in Machine learning, which are crucial for the company's AI initiatives.
- Total Applications Filed: 14
- Percentage of AI Portfolio: 21.9%
CPC G06N3/08 (Learning methods)
JPMORGAN CHASE BANK, N.A.'s patent applications in this area focus on innovations in Learning methods, which are crucial for the company's AI initiatives.
- Total Applications Filed: 5
- Percentage of AI Portfolio: 7.8%
CPC G06N7/01 (Probabilistic graphical models, e.g. probabilistic networks)
JPMORGAN CHASE BANK, N.A.'s patent applications in this area focus on innovations in Probabilistic graphical models, e.g. probabilistic networks, which are crucial for the company's AI initiatives.
- Total Applications Filed: 3
- Percentage of AI Portfolio: 4.7%
CPC G06N3/0455 (Auto-encoder networks; Encoder-decoder networks)
JPMORGAN CHASE BANK, N.A.'s patent applications in this area focus on innovations in Auto-encoder networks; Encoder-decoder networks, which are crucial for the company's AI initiatives.
- Total Applications Filed: 3
- Percentage of AI Portfolio: 4.7%
CPC G06N5/022 (Knowledge representation; Symbolic representation)
JPMORGAN CHASE BANK, N.A.'s patent applications in this area focus on innovations in Knowledge representation; Symbolic representation, which are crucial for the company's AI initiatives.
- Total Applications Filed: 2
- Percentage of AI Portfolio: 3.1%
CPC G06N10/60 (Quantum algorithms, e.g. based on quantum optimisation, quantum Fourier or Hadamard transforms)
JPMORGAN CHASE BANK, N.A.'s patent applications in this area focus on innovations in Quantum algorithms, e.g. based on quantum optimisation, quantum Fourier or Hadamard transforms, which are crucial for the company's AI initiatives.
- Total Applications Filed: 2
- Percentage of AI Portfolio: 3.1%
CPC G06N3/091 (Active learning)
JPMORGAN CHASE BANK, N.A.'s patent applications in this area focus on innovations in Active learning, which are crucial for the company's AI initiatives.
- Total Applications Filed: 1
- Percentage of AI Portfolio: 1.6%
CPC G10L15/16 (SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING)
JPMORGAN CHASE BANK, N.A.'s patent applications in this area focus on innovations in SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING, which are crucial for the company's AI initiatives.
- Total Applications Filed: 1
- Percentage of AI Portfolio: 1.6%
CPC G10L15/26 (SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING)
JPMORGAN CHASE BANK, N.A.'s patent applications in this area focus on innovations in SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING, which are crucial for the company's AI initiatives.
- Total Applications Filed: 1
- Percentage of AI Portfolio: 1.6%
CPC G06F16/35 (Clustering; Classification)
JPMORGAN CHASE BANK, N.A.'s patent applications in this area focus on innovations in Clustering; Classification, which are crucial for the company's AI initiatives.
- Total Applications Filed: 1
- Percentage of AI Portfolio: 1.6%
AI Patent Categories
Other AI
- Patents: 34
- Percentage: 53.1%
- Description: Various AI technologies that don't fall into the main categories above.
Machine Learning
- Patents: 26
- Percentage: 40.6%
- Description: A field of AI focused on algorithms that can learn from and make predictions on data without being explicitly programmed.
Natural Language Processing
- Patents: 2
- Percentage: 3.1%
- Description: AI techniques focused on the interaction between computers and human language.
Knowledge-based Systems
- Patents: 1
- Percentage: 1.6%
- Description: AI systems that use a knowledge base to solve complex problems typically requiring human expertise.
Computer Vision
- Patents: 1
- Percentage: 1.6%
- Description: AI systems that can interpret and make decisions based on visual data from the world.
Recent JPMORGAN CHASE BANK, N.A. AI Patent Applications
Below are some of the most recent AI-related patent applications filed by JPMORGAN CHASE BANK, N.A. in 2025:
| Patent Title | Filing Date | Description |
|---|---|---|
| SYSTEMS AND METHODS FOR PROVIDING MODEL-GENERATED CONTENT BASED ON PRIVATE DATA | 2025-05-01 | In some embodiments, the techniques described herein relate to a method including: receiving, at a query management platform and from a client device, a query, wherein the query includes an applicatio... |
| SYSTEM AND METHOD FOR AUTOMATING CLOUD FINANCIAL OPERATIONS MANAGEMENT OPTIMIZATIONS | 2025-05-01 | Various methods and processes, apparatuses/systems, and media for automating cloud financial operations management optimizations are disclosed. A processor implements a cloud financial operations mana... |
| SYSTEMS AND METHODS FOR EFFICIENT MACHINE UNLEARNING | 2025-05-01 | In some aspects, the techniques described herein relate to a method including: providing a machine unlearning algorithm, wherein the machine unlearning algorithm is configured to: approximate a final ... |
| SYSTEMS AND METHODS FOR DETERMINING PERFORMANCE-BASED PRICING | 2025-05-01 | Systems and methods for determining performance-based pricing are disclosed. A method may include: creating a borrower entry based on borrower loans for a borrower and a borrower rating; polling a plu... |
| SYSTEMS AND METHODS FOR DIGITAL DOCUMENT EXCHANGE | 2025-05-01 | Systems and methods for digital document exchange are disclosed. According to an embodiment, a method for digital document exchange may include: (1) receiving, by a document exchange computer program,... |
| SYSTEMS AND METHODS FOR ENABLING REAL-TIME GRAPH MACHINE LEARNING MODELS USING BITWISE TRANSACTION GRAPH FRAMEWORKS | 2025-04-24 | Systems and methods for enabling real-time graph machine learning models using bitwise transaction graph frameworks are disclosed. According to one embodiment, a method may include: (1) receiving, by ... |
| METHOD AND SYSTEM FOR AUTOMATIC DATA CLUSTERING | 2025-04-17 | A method for using machine learning models to automatically cluster data into meaningful populations and groups and to identify hidden patterns and structures in such data is provided. The method incl... |
| METHOD AND SYSTEM FOR SUPERVISED GENERATIVE OPTIMIZATION FOR SYNTHETIC DATA GENERATION | 2025-04-17 | A method for facilitating supervised generative optimization for synthetic data generation is disclosed. The method includes receiving, via an application programming interface, inputs that include in... |
| METHOD AND SYSTEM FOR REMOVING DEFICIENCIES FROM A DATASET | 2025-04-17 | A system for removing deficiencies from a dataset. The system may include a processor and memory that stores instructions that, when executed by the processor, cause the processor to perform operation... |
| SYSTEM AND METHOD FOR PROVIDING INFORMATION-DIRECTED PESSIMISM FOR OFFLINE REINFORCEMENT LEARNING | 2025-04-17 | A method and system for performing information-directed pessimism in offline learning for reduction of distribution mismatch are disclosed. The method includes determining a first and second distribut... |
Overview of JPMORGAN CHASE BANK, N.A.'s AI Patent Strategy
JPMORGAN CHASE BANK, N.A. is renowned not only for its innovative products but also for its strategic approach to AI patent applications. JPMORGAN CHASE BANK, N.A.'s patent strategy focuses on protecting its technological advancements in artificial intelligence, machine learning, and related technologies. This strategy helps JPMORGAN CHASE BANK, N.A. maintain a competitive edge and fosters innovation within the industry.
The company's AI patent filings reveal a particular emphasis on Other AI, which accounts for approximately 53.1% of their AI-related patents in 2025.
AI Patent Trends
The chart above shows the trend of JPMORGAN CHASE BANK, N.A.'s AI patent applications over time, revealing a significant acceleration in JPMORGAN CHASE BANK, N.A.'s AI patent filings in recent months.
Frequently Asked Questions About JPMORGAN CHASE BANK, N.A.'s AI Patent Strategy
What are JPMORGAN CHASE BANK, N.A.'s main focus areas in AI patent applications?
Based on patent filing analysis, JPMORGAN CHASE BANK, N.A.'s key focus areas include Other AI (34 patents), Machine Learning (26 patents), Natural Language Processing (2 patents). These areas represent 96.9% of JPMORGAN CHASE BANK, N.A.'s AI-related patent applications.
JPMORGAN CHASE BANK, N.A. has filed 64 AI-related patent applications in 2025 so far.
What is JPMORGAN CHASE BANK, N.A.'s most active AI technology area?
The most active area is Other AI, with 34 patent applications representing 53.1% of their AI patent portfolio.
How does JPMORGAN CHASE BANK, N.A. protect its AI innovations?
JPMORGAN CHASE BANK, N.A. employs a strategic patent filing approach focused on protecting core AI technologies while also maintaining some trade secrets. Their patent strategy covers both foundational AI methods and specific applications in their product areas.
What types of AI applications is JPMORGAN CHASE BANK, N.A. patenting?
Based on recent patent filings, JPMORGAN CHASE BANK, N.A. is patenting AI applications in Other AI, Machine Learning, Natural Language Processing, among other areas.
How does JPMORGAN CHASE BANK, N.A.'s AI patent strategy compare to competitors?
Analysis of JPMORGAN CHASE BANK, N.A.'s patent filings shows an increased focus on Other AI and Machine Learning compared to industry averages, suggesting a strategic emphasis on these technologies.
What might JPMORGAN CHASE BANK, N.A.'s AI patent strategy indicate about future products?
The concentration of patents in Other AI and Machine Learning suggests JPMORGAN CHASE BANK, N.A. may be developing new products or services that leverage these technologies. This could indicate upcoming features in their existing product lines or entirely new offerings.
See Also
- JPMORGAN CHASE BANK, N.A. Patent Application Trends in 2025
- List of Top AI Patent Filers in 2025
- Artificial Intelligence Patent Trends
- CPC Classification Guide for AI Technologies
This page was last updated on 02 May 2025.