Company patents
American Express Travel Related Services Company, Inc.
American Express Travel Related Services Company, Inc. surprisingly shows a strong and recent surge in Cryptographic Mechanisms, with a 156.2% YoY growth in 2025, indicating an emerging focus on advanced security, despite a broader patent portfolio heavily concentrated in Business Methods & Fintech (53.8% of total patents).
Patent Trend by Technology Area
Yearly patent publications since 2023
Product themes
Product-level themes inferred from filings since 2023, with category chips showing where each theme appears. Select a theme to filter the patents below.
595 US filings (since 2023) · 12 categories · 30 themes
Systems designed to streamline and automate various commercial transactions, including mobile-enhanced processes, secure online checkouts, customer service interactions, and privilege issuance, often leveraging digital authentication.
Designing user interfaces and interaction methods specifically for mobile or wearable devices, enabling control of external systems, monitoring user states, or facilitating real-world transactions.
Systems and methods for authenticating users, devices, or applications, authorizing their access to resources based on policies, and managing digital identities across various platforms.
Focuses on using distributed ledger technology (DLT) like blockchain to secure financial transactions, manage digital identities, or ensure data integrity and traceability across various applications.
Technologies for securing, managing, and transacting with virtual currencies, non-fungible tokens (NFTs), and other blockchain-based digital assets, including hardware wallets and tokenization schemes for various purposes.
Systems that process data to provide personalized recommendations, predict events, or automate decision-making processes based on learned patterns, user behavior, or environmental factors.
Systems and methods for encrypting data at a fine-grained level (e.g., per data unit or based on sensitivity) and controlling access to it, often involving delegated authorization, contextual policies, or secure data sharing.
Mechanisms to facilitate the secure exchange of data between different entities or systems while enforcing usage policies, managing digital content rights, and ensuring data consistency during replication or transfer.
Applying artificial intelligence and machine learning techniques to enhance cryptographic systems, such as generating encryption models, improving zero-trust architectures, or enabling privacy-preserving computations like federated learning.
Systems that use user data, preferences, and machine learning to generate tailored advice, product recommendations, goal-setting plans, or contextual information for individuals across different domains.
Methods and systems for integrating, transforming, and managing complex or domain-specific data from disparate sources into a unified structure, often for specific applications like social networks, genomics, or business forms.
User interface designs and systems that enable multiple users to interact with shared content, provide feedback, or coordinate activities, often across different devices or locations.
Methods and systems for identifying, extracting, and structuring specific entities, relationships, or insights from text-based documents, often involving techniques like named entity recognition, relation extraction, or summarization.
Focuses on the physical construction and integration of electronic components, such as antennas, IC chips, and display elements, into smart cards or secure documents, often involving multi-layer structures and specialized materials.
Techniques for generating human-like text or other content using large pre-trained models, often involving prompt engineering, speculative decoding, or multi-modal inputs for content creation.
Systems and methods utilizing artificial intelligence, particularly large language models and neural networks, to extract, summarize, generate, or categorize information from unstructured or semi-structured data sources.
Systems and methods for automating the lifecycle of machine learning models, including pipeline deployment, model management, versioning, and configuring for different inference environments.
Techniques for distributing computational tasks, data storage, and service logic across cloud data centers, edge devices, and user equipment to improve performance, resilience, or resource utilization. This includes architectures for split rendering, decentralized ledgers, and microservices.
Systems and methods for automating multi-step tasks, business processes, or service interactions, often involving AI agents, programmable interfaces, or formal orchestration languages to streamline operations.
Methods for training machine learning models across multiple decentralized devices or servers while keeping data localized, often involving aggregation of model parameters and secure communication.
Developing and applying machine learning algorithms that leverage quantum computing principles, such as quantum circuits or autoencoders, for tasks like simulation or data processing.
Mobile applications and systems leveraging wireless communication and location data (e.g., GPS, RFID, geo-fencing) to provide context-specific services, transactions, or user interactions.
Utilizing dedicated hardware components, secure enclaves, or trusted execution environments to perform cryptographic operations, enhancing security, performance, or isolation from software vulnerabilities.
Techniques for protecting data at rest or in backup, ensuring its integrity, confidentiality, and verifiable origin, often involving encryption, unique identifiers, or secure repositories.
Methods and systems for generating, distributing, updating, rotating, and securely destroying cryptographic keys to maintain data confidentiality and integrity over time, including quantum key distribution.
Systems that employ imaging and image processing to automatically detect defects, verify states, or ensure quality control in manufactured goods, printed materials, or industrial processes.
Techniques for combining and analyzing information from multiple distinct data modalities (e.g., text, image, video, audio, sensor data) to derive richer insights or improve system performance and decision-making.
Technologies for establishing and maintaining secure communication channels between devices or networks, often employing encryption, secure protocols, or virtual private networks (VPNs).
Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.
Techniques for improving the performance, efficiency, or practicality of fully homomorphic encryption (FHE) schemes, often involving hardware accelerators or optimized algorithms for operations like bootstrapping and key-switching.
Patents
Showing 1-10 of 18
Distributed Cloud/Edge Processing