UnfoldIPThemes

Company patents

GMECI, LLC

GMECI, LLC's patent strategy reveals a surprising shift away from its dominant Medical Diagnostics & Surgery category, which constitutes 56.2% of its portfolio but has seen a consistent decline, including a -71.4% YoY drop so far in 2026. Concurrently, while Machine Learning & AI patents represent a smaller 25.0% of the portfolio, their significant 400.0% YoY growth in 2024 suggests an emerging focus on integrating AI technologies, despite a recent slowdown in 2025 and 2026.

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.

48 US filings (since 2023) · 12 categories · 7 themes

Physiological Monitoring & Diagnostics

Systems and methods for non-invasive or minimally invasive collection and analysis of physiological data (e.g., blood pressure, electrolytes, genetic markers, B cell repertoire) to assess patient health status, screen for conditions, or aid in diagnosis.

Healthcare Informatics
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18since 2023
-16.7%YoY
Wearable Physiological Sensing

Development of devices and methods for non-invasive or minimally invasive collection and analysis of physiological data, often from wearable sensors, to monitor health, activity, or specific conditions.

Medical Diagnostics & Surgery
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12since 2023
-33.3%YoY
AI-Powered Adaptive Learning & Personalizationfiltered

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.

Education & TrainingPattern Recognition & ML Models
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5since 2023
0.0%YoY
ML-driven Decision Support

Application of machine learning models to process complex data and generate actionable insights, predictions, or classifications that inform or automate decision-making processes in various domains like healthcare, business, or industrial control.

Pattern Recognition & ML Models
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3since 2023
new
AI/ML Hardware Acceleration

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.

Machine Learning & AI
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3since 2023
-50.0%YoY
Neural Network Audio Processing

Application of neural networks and AI/ML models within hearing devices or audio systems to enhance, filter, or process audio signals for improved user experience, such as speech understanding or noise reduction.

Loudspeakers & Microphones
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3since 2023
n/a
Speech-based Health & Accessibility

Applications of speech processing and artificial intelligence for medical diagnosis, therapeutic interventions, or accessibility solutions, particularly for conditions affecting speech production or hearing.

Speech Processing
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1since 2023
n/a

Patents

Showing 1-5 of 5

AI-Powered Adaptive Learning & Personalization
Page 1 of 1
US 20250147589 A1APPLICATION
G06F3/01

METHODS AND SYSTEMS FOR INDIVIDUALIZED CONTENT MEDIA DELIVERY

Filed:2024-06-06Pub:2025-05-08
Applicant:GMECI, LLC

Aspects relate to systems and methods for individualized content media delivery. An exemplary system includes a sensor configured to detect a biofeedback signal as a function of a biofeedback of a user, a display configured to present content to the user, and a computing device configured to control an environmental parameter for an environment surrounding the user as a function of the biofeedback signal, wherein controlling the environmental parameter additionally includes generating an environmental machine-learning model as a function of an environmental machine-learning algorithm, training the environmental machine-learning model as a function of an environmental training set, wherein the environmental training set comprises biofeedback inputs correlated to environmental parameter outputs and generating the environmental parameter as a function of the biofeedback signal and the environmental machine-learning model.

US 12019803 B2GRANTED
G06F3/01

Methods and systems for individualized content media delivery

Filed:2022-10-04Pub:2024-06-25
Applicant:GMECI, LLC

Aspects relate to systems and methods for individualized content media delivery. An exemplary system includes a sensor configured to detect a biofeedback signal as a function of a biofeedback of a user, a display configured to present content to the user, and a computing device configured to control an environmental parameter for an environment surrounding the user as a function of the biofeedback signal, wherein controlling the environmental parameter additionally includes generating an environmental machine-learning model as a function of an environmental machine-learning algorithm, training the environmental machine-learning model as a function of an environmental training set, wherein the environmental training set comprises biofeedback inputs correlated to environmental parameter outputs and generating the environmental parameter as a function of the biofeedback signal and the environmental machine-learning model.

US 11604513 B2GRANTED
G06F3/01

Methods and systems for individualized content media delivery

Filed:2021-07-28Pub:2023-03-14
Applicant:GMECI, LLC

Aspects relate to systems and methods for individualized content media delivery. An exemplary system includes a sensor configured to detect a biofeedback signal as a function of a biofeedback of a user, a display configured to present content to the user, and a computing device configured to control an environmental parameter for an environment surrounding the user as a function of the biofeedback signal, wherein controlling the environmental parameter additionally includes generating an environmental machine-learning model as a function of an environmental machine-learning algorithm, training the environmental machine-learning model as a function of an environmental training set, wherein the environmental training set comprises biofeedback inputs correlated to environmental parameter outputs and generating the environmental parameter as a function of the biofeedback signal and the environmental machine-learning model.

US 20230035334 A1APPLICATION
G06F3/01

METHODS AND SYSTEMS FOR INDIVIDUALIZED CONTENT MEDIA DELIVERY

Filed:2021-07-28Pub:2023-02-02
Applicant:GMECI, LLC

Aspects relate to systems and methods for individualized content media delivery. An exemplary system includes a sensor configured to detect a biofeedback signal as a function of a biofeedback of a user, a display configured to present content to the user, and a computing device configured to control an environmental parameter for an environment surrounding the user as a function of the biofeedback signal, wherein controlling the environmental parameter additionally includes generating an environmental machine-learning model as a function of an environmental machine-learning algorithm, training the environmental machine-learning model as a function of an environmental training set, wherein the environmental training set comprises biofeedback inputs correlated to environmental parameter outputs and generating the environmental parameter as a function of the biofeedback signal and the environmental machine-learning model.

US 20230031383 A1APPLICATION
G06F3/01

METHODS AND SYSTEMS FOR INDIVIDUALIZED CONTENT MEDIA DELIVERY

Filed:2022-10-04Pub:2023-02-02
Applicant:GMECI, LLC

Aspects relate to systems and methods for individualized content media delivery. An exemplary system includes a sensor configured to detect a biofeedback signal as a function of a biofeedback of a user, a display configured to present content to the user, and a computing device configured to control an environmental parameter for an environment surrounding the user as a function of the biofeedback signal, wherein controlling the environmental parameter additionally includes generating an environmental machine-learning model as a function of an environmental machine-learning algorithm, training the environmental machine-learning model as a function of an environmental training set, wherein the environmental training set comprises biofeedback inputs correlated to environmental parameter outputs and generating the environmental parameter as a function of the biofeedback signal and the environmental machine-learning model.

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