Company patents
SEAGATE TECHNOLOGY LLC
Seagate Technology LLC's patent strategy reveals a surprising shift away from its core "Information Storage (Recording)" category, which constitutes 39.3% of its portfolio but has seen a significant decline of -35.3% so far in 2026. Concurrently, the company is demonstrating an emerging focus on "Computer Security" with a remarkable +200.0% growth so far in 2026, and "Printed Circuits & Electronic Assemblies" with a +75.0% growth in the same period, indicating a diversification into related but distinct technological areas.
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.
562 US filings (since 2023) · 12 categories · 28 themes
Innovations in the mechanical and electromagnetic design of read/write heads, sliders, suspension assemblies, and actuator systems for hard disk drives, focusing on precision, stability, and data integrity.
Development of novel material compositions, thin-film deposition techniques, and surface treatments for recording layers, lubricants, and protective coatings to improve data density, durability, and magnetic or optical properties.
Advanced control algorithms and embedded systems for managing hard disk drive operations, including precise head positioning, track following, defect detection, command scheduling, and thermal management.
Hardware and control techniques for optimizing memory access latency, ensuring data integrity, and managing storage resources efficiently. This includes error correction, read/write voltage control, and intelligent data placement or in-memory computation.
Innovations in the physical components and architectures of radar, lidar, and sonar systems, including antenna design, RF signal generation, beam steering mechanisms, and optical elements for improved performance.
Methods and circuits for detecting and mitigating defects, ensuring data integrity, and enabling self-testing and repair mechanisms within memory devices and subsystems.
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 structures for integrating and enclosing electronic components into compact, multi-functional modules, often involving embedded components, multi-layer substrates, and electromagnetic shielding for performance and miniaturization.
Methods and systems for efficiently allocating computing resources, balancing workloads, and managing power states to improve performance, reduce energy consumption, or enhance reliability in computing platforms.
Novel hardware designs and processing pipelines tailored for specific computational tasks, such as graphics rendering, neural network operations, or matrix transformations, often involving custom circuits, memory arrays, or data flow mechanisms.
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.
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.
Technologies for establishing and managing high-bandwidth, low-latency communication pathways between computing components, peripherals, or systems, focusing on signal integrity, synchronization, and interface standards.
Focuses on the physical design, materials, and manufacturing processes for individual memory cells, including transistor structures, interconnects, and multi-layered (3D) architectures to enhance density and performance.
Utilizing dedicated hardware components, secure enclaves, or trusted execution environments to perform cryptographic operations, enhancing security, performance, or isolation from software vulnerabilities.
Methods and materials used to construct robust and protective enclosures for electronic devices, focusing on structural integrity, impact resistance, thermal dissipation, and specialized material properties for enhanced durability.
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.
Encompasses strategies and technologies to ensure the availability, integrity, and recoverability of data and systems, including robust backup, replication, error correction, and efficient data restoration.
Systems and methods for authenticating users, devices, or applications, authorizing their access to resources based on policies, and managing digital identities across various platforms.
Developing and applying machine learning algorithms that leverage quantum computing principles, such as quantum circuits or autoencoders, for tasks like simulation or data processing.
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.
Specialized hardware, architectural designs, and computational methods to improve the speed, efficiency, and security of artificial intelligence and machine learning model execution, particularly for inference and data processing.
Techniques for rendering, interacting with, and managing content within augmented or virtual reality environments, including spatial tracking, gaze interaction, and dynamic multi-application display management.
Techniques for monitoring system components and behaviors to anticipate failures, performance degradation, or anomalies, often leveraging machine learning for pattern recognition and forecasting.
Design and operation of analog and mixed-signal circuits within the memory array, such as page buffers, sense amplifiers, and data latches, responsible for reading and writing data from/to memory cells.
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.
Involves systems designed to automatically detect errors or failures and initiate predefined or intelligent corrective actions, recovery procedures, or notifications to minimize downtime and manual intervention.
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.
Patents
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