Company patents
STATS LLC
STATS LLC's patent strategy is heavily concentrated in computing, with Machine Learning & AI (43.1% of portfolio) and Computer Vision (42.2% of portfolio) being dominant areas, both showing significant growth in 2025 with +51.9% and +46.4% YoY respectively. Surprisingly, despite its core business, the company also demonstrates an emerging focus on Sports Equipment, which saw a remarkable +200.0% YoY growth in 2025, indicating a potential expansion beyond pure data analytics into physical product innovation, though patent filings across most categories have seen a sharp decline so far in 2026, which is partial data.
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.
218 US filings (since 2023) · 12 categories · 20 themes
Systems using artificial intelligence and machine learning to monitor athlete performance, provide personalized training plans, predict physiological responses, or create virtual representations for feedback and analysis.
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.
Technologies that create dynamic and interactive visual content for displays, including virtual/wearable systems, by generating overlays, replacing input streams, or merging real-time user actions with digital environments.
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 systems that identify unusual or suspicious patterns in data streams, often leveraging machine learning models trained on normal behavior, to detect threats, faults, or significant events as they occur.
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.
Systems and methods for enhancing player retention, offering incentives, and managing player accounts and credits across multiple gaming sessions, machines, or venues to foster continued participation.
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.
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.
Systems and architectures that enable game execution, content delivery, and interactive social experiences through cloud infrastructure and live streaming technologies.
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.
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.
Development and optimization of novel neural network layers or architectures specifically designed to improve performance or efficiency for computer vision tasks.
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.
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.
Innovations in golf club heads, shafts, and balls focusing on material science, aerodynamic properties, weight distribution, and impact response to improve player performance and product durability.
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.
Innovations in the core gameplay features, display technologies, and player interaction methods for electronic gaming machines and systems. This includes novel ways to trigger awards, display outcomes, and control game actions.
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
Showing 1-10 of 259