Company patents
2hr Learning, Inc.
2hr Learning, Inc. is surprisingly diversifying its patent strategy beyond its core Education & Training (60.7% of portfolio) with a significant emerging focus on advanced computing technologies, as evidenced by the explosive 400.0% YoY growth in both Natural Language Processing and Image Processing patents so far in 2026, alongside a 33.3% YoY increase in Computer Vision. This shift suggests a move towards AI-driven educational tools, while traditional Business Methods & Fintech patents are seeing a -33.3% YoY decline, indicating a shifting priority away from pure financial or operational innovations.
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.
61 US filings (since 2023) · 12 categories · 11 themes
Systems leveraging artificial intelligence and machine learning to dynamically adjust educational content, learning paths, goals, or feedback based on individual user performance, progress, or physiological data. This includes generating personalized exercises, recommendations, and adaptive sequencing of knowledge points.
Integrating game-like mechanics, interactive challenges, and engaging user interface elements (e.g., avatars, reward systems, narrative structures) into educational or therapeutic applications to enhance user motivation, engagement, and learning retention.
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 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 that monitor a user's actions, performance, or physiological state during a task or activity, and provide immediate or near real-time feedback to guide skill development, correct errors, or verify task completion.
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.
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.
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.
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.
Systems that process data to provide personalized recommendations, predict events, or automate decision-making processes based on learned patterns, user behavior, or environmental factors.
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.
Patents
Showing 1-3 of 3
Adaptive Speech Synthesis & Messaging