Company patents
SRI International
SRI International's patent strategy reveals a surprising dual focus, with a significant 22.8% of its portfolio in Machine Learning & AI, yet a notable emerging focus in Peptides & Proteins, which saw a 50.0% YoY growth in 2026 (so far). While many computing categories like Natural Language Processing and Speech Processing showed strong growth in 2024-2025, their patenting activity, along with other computing categories, has seen a sharp decline so far in 2026, indicating a potential shift in priorities or a lag in current year filings.
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.
268 US filings (since 2023) · 12 categories · 37 themes
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.
Technologies for generating artificial speech that is personalized, context-aware, or adaptable to specific virtual agents or messaging campaigns, often utilizing text-to-speech (TTS) and audio caching for efficient delivery.
Design and synthesis of acyclic or carbocyclic organic compounds that selectively modulate specific biological targets or pathways for the treatment of diseases.
Development of therapeutic approaches involving the genetic modification of cells (e.g., T cells, stem cells, macrophages) or the use of viral/non-viral vectors to deliver genetic material for disease treatment.
Methods and apparatus for detecting objects and determining their three-dimensional position and orientation (pose) using imagery or point cloud data, often for navigation, surveying, or environmental understanding.
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.
Methods and systems for identifying synthetic or manipulated speech (deepfake audio) using forensic analysis of audio features, such as breath patterns, vocoder signatures, or machine learning models to determine authenticity.
Methods and systems for improving the quality of video streams, generating intermediate frames, or continuously locating and following objects within a sequence of images, even under occlusion.
Methods and apparatus for improving the visual fidelity, resolution, or compression efficiency of video signals, often through advanced processing, up-scaling, or neural network-based filters.
Techniques for combining data from disparate sensor types (e.g., cameras, radar, mobile device signals) to achieve a more robust and comprehensive understanding of an environment or subject, often leveraging machine learning for interpretation and correlation.
Development and optimization of novel neural network layers or architectures specifically designed to improve performance or efficiency for computer vision tasks.
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.
Methods and compositions for identifying, quantifying, or characterizing specific biological molecules (e.g., nucleic acids, proteins, metabolites, antibodies) or microbial species, often for diagnostic, prognostic, or quality control applications.
Techniques for enhancing, encoding, decoding, or separating speech and audio signals, often involving multi-microphone arrays, acoustic echo cancellation, beamforming, or advanced audio compression for improved clarity and quality.
Techniques utilizing deep learning models like Generative Adversarial Networks (GANs) or diffusion models to create new images, modify existing ones, or generate synthetic data based on various inputs or conditions.
Delivery systems specifically engineered to administer advanced drug formulations (e.g., microparticles, biologics, extended-release systems) to achieve precise targeting, controlled release kinetics, or enhanced therapeutic efficacy within the body.
AI systems designed to engage in natural language dialogue, maintain conversation state, understand user intent, and generate relevant responses, often across multiple communication channels or modalities.
Design and modification of antibodies or antibody-derived fragments for targeted therapeutic intervention, including bispecific formats, Fc region modifications, and activatable constructs.
Applications of speech processing and artificial intelligence for medical diagnosis, therapeutic interventions, or accessibility solutions, particularly for conditions affecting speech production or hearing.
Systems that combine data from multiple camera sensors or capture multiple images from different perspectives or qualities, often involving image processing techniques like synthesis to create enhanced or comprehensive views.
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.
Techniques and hardware for autonomous systems to gather and interpret data about their surroundings, including obstacle detection, object recognition, and depth estimation, to inform control decisions.
Systems and methods for identifying and blocking unauthorized access, malicious activities, or abnormal behavior within a network by analyzing traffic, system logs, or behavioral patterns.
Development and application of therapeutic proteins or peptides produced through recombinant DNA technology, including fusion proteins and modified growth factors.
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.
Therapeutic approaches involving the use of living cells, often genetically modified or ex vivo activated, to treat diseases, particularly cancer, by modulating immune responses or replacing damaged cells.
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.
Therapeutic strategies employing nucleic acids (DNA, RNA, oligonucleotides) to modulate gene expression, deliver genetic material, or interfere with disease-causing pathways. Includes gene therapy using viral vectors.
Design and engineering of proteins or peptides to directly modulate immune responses, including enhancing antigen presentation, suppressing inflammation, or activating specific immune cell types.
Systems and methods for authenticating users, devices, or applications, authorizing their access to resources based on policies, and managing digital identities across various platforms.
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.
Systems and methods for automating the lifecycle of machine learning models, including pipeline deployment, model management, versioning, and configuring for different inference environments.
Developing and applying machine learning algorithms that leverage quantum computing principles, such as quantum circuits or autoencoders, for tasks like simulation or data processing.
Automated systems using image processing and artificial intelligence to identify, classify, and assess the extent of damage to structures or objects, supporting maintenance or insurance claims.
Modification of protein or peptide sequences, structures, or post-translational modifications (e.g., glycosylation, lipidation) to enhance their stability, solubility, delivery, or therapeutic efficacy.
Development and use of engineered biological systems, such as organ-on-a-chip devices, dynamic hydrogels, or genetically modified cells, to mimic physiological conditions, study disease mechanisms, screen compounds, or develop cell-based therapies.
Patents
Showing 1-10 of 411