UnfoldIP

Company patents

STRONG FORCE VCN PORTFOLIO 2019, LLC

STRONG FORCE VCN PORTFOLIO 2019, LLC's patent strategy shows a surprising and strong resurgence in 2025 across nearly all categories, following significant declines in 2024, with Industrial Control Systems experiencing a remarkable +350.0% YoY growth and Manipulators & Robotics surging by +1200.0% YoY, indicating a renewed focus on manufacturing automation despite a general slowdown so far in 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.

99 US filings (since 2023) · 12 categories · 13 themes

Multi-Agent System Coordination

Methods and systems for managing the interaction, communication, and collaborative tasks among multiple autonomous entities, or between autonomous entities and a central control system or users.

Industrial & Autonomous Control
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17since 2023
-50.0%YoY
Digital Twins & Blockchain for Assets

Creating virtual representations (digital twins) of physical industrial assets or processes for simulation and analysis, often combined with blockchain technology for secure data traceability and distributed control.

Industrial Control Systems
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12since 2023
new
Hybrid Additive-Subtractive Manufacturing

Integration of additive manufacturing with subtractive manufacturing (e.g., machining, cutting) or other traditional processes within a single system or workflow to create parts with improved features, surface finish, or material properties, or to enable new manufacturing paradigms.

Additive Manufacturing (3D Printing)
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11since 2023
+50.0%YoY
AI/ML for Industrial Process Optimizationfiltered

Applying machine learning and artificial intelligence models to analyze industrial data, predict system behavior, and optimize control strategies for improved efficiency, quality, or environmental compliance in manufacturing and operations.

Industrial Control Systems
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9since 2023
-50.0%YoY
AM Process Monitoring & Control

Systems and methods for real-time sensing, modeling, and closed-loop control of additive manufacturing parameters to ensure part quality, consistency, and process efficiency. This includes thermal management, atmospheric regulation, and precise material deposition.

Additive Manufacturing (3D Printing)Industrial Control Systems
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7since 2023
n/a
Metal Additive Manufacturing Processes

Techniques for building three-dimensional metal objects layer-by-layer using metal powders, including powder bed fusion, binder jetting, and directed energy deposition. This theme encompasses process mechanics, equipment design, and operational control for AM systems.

Additive Manufacturing (3D Printing)Plastics Shaping & MoldingElectronic Design Automation (CAD/EDA)
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4since 2023
0.0%YoY
Digital Twin & System Simulation

Creating virtual models (digital twins) of complex physical systems to simulate their behavior, predict performance, validate designs, or guide operations under various conditions.

Electronic Design Automation (CAD/EDA)
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2since 2023
new
Remote & Wireless Industrial Control

Systems and methods enabling the monitoring, configuration, and operation of industrial equipment and processes from a distance, often utilizing wireless communication protocols and networked platforms for enhanced flexibility and access.

Industrial Control Systems
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2since 2023
0.0%YoY
Automated Transaction Systems

Systems designed to streamline and automate various commercial transactions, including mobile-enhanced processes, secure online checkouts, customer service interactions, and privilege issuance, often leveraging digital authentication.

Business Methods & Fintech
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2since 2023
n/a
Predictive Maintenance & Anomaly Detection

Utilizing sensor data, historical performance, and analytical models to anticipate equipment failures, diagnose faults, and estimate remaining useful life, thereby enabling proactive maintenance and reducing downtime.

Industrial Control Systems
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2since 2023
n/a
AM Part Design & Topology Optimization

Computational methods and design principles for generating optimized geometries, internal structures (e.g., lattices, minimal surfaces), or functional features that are specifically enabled or enhanced by the capabilities of additive manufacturing.

Additive Manufacturing (3D Printing)
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2since 2023
n/a
Quantum Machine Learning

Developing and applying machine learning algorithms that leverage quantum computing principles, such as quantum circuits or autoencoders, for tasks like simulation or data processing.

Machine Learning & AI
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1since 2023
n/a
Video Quality & Encoding Optimization

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.

Computer Vision
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1since 2023
n/a

Patents

Showing 1-9 of 9

AI/ML for Industrial Process Optimization
Page 1 of 1
US 12664505 B2GRANTED
G06Q10/0637

Artificial intelligence prediction of component failure in value chain networks

Filed:2023-11-30Pub:2026-06-23
Applicant:Strong Force VCN Portfolio 2019, LLC

A VCN process may receive information associated with a value chain network. A VCN process may provide the information to a set of Artificial Intelligence (AI)-based learning models, wherein at least one member of the set of AI-based learning models is trained on a training data set of a set of value chain network entities operating data to classify at least one of: an operating state, a fault condition, an operating flow, or a behavior of at least one value chain entity of the set of value chain network entities. A VCN process may determine a task to be completed for the value chain network based upon, at least in part, on an output of the set of AI-based learning models. A VCN process may execute the task to facilitate an improvement in the value chain network.

US 12354072 B2GRANTED
G05B17/02

AI-managed additive manufacturing for value chain networks

Filed:2022-09-09Pub:2025-07-08
Applicant:Strong Force VCN Portfolio 2019, LLC

A distributed manufacturing network information technology system includes a cloud-based additive manufacturing management platform with a user interface, connectivity facilities, data storage facilities, and monitoring facilities. The distributed manufacturing network information technology system includes a set of applications for enabling the additive manufacturing management platform to manage a set of distributed manufacturing network entities. The distributed manufacturing network information technology system includes an artificial intelligence system configured to learn on a training set of outcomes, parameters, and data collected from the distributed manufacturing network entities to optimize manufacturing and value chain workflows.

US 12314060 B2GRANTED
G05D1/00

Value chain network planning using machine learning and digital twin simulation

Filed:2023-11-30Pub:2025-05-27
Applicant:Strong Force VCN Portfolio 2019, LLC

A VCN process may receive, by a value chain network digital twin, information associated with a value chain network. A VCN process may provide the information to a set of Artificial Intelligence (AI)-based learning models, wherein at least one member of the set of AI-based learning models is trained to classify at least one of: an operating state, a fault condition, an operating flow, or a behavior of the value chain network and at least one member of the set of AI-based learning models is trained to determine a task to be completed for the value chain network. A VCN process may provide at least one of an instruction for executing the task in the value chain network digital twin and a recommendation for executing the task in the value chain network digital twin.

US 20240144141 A1APPLICATION
G06Q10/0637

SYSTEMS, METHODS, KITS, AND APPARATUSES FOR USING ARTIFICIAL INTELLIGENCE FOR AUTOMATION IN VALUE CHAIN NETWORKS

Filed:2023-11-30Pub:2024-05-02
Applicant:Strong Force VCN Portfolio 2019, LLC

A VCN process may receive information associated with a value chain network. A VCN process may provide the information to a set of Artificial Intelligence (AI)-based learning models, wherein at least one member of the set of AI-based learning models is trained on a training data set of a set of value chain network entities operating data to classify at least one of: an operating state, a fault condition, an operating flow, or a behavior of at least one value chain entity of the set of value chain network entities. A VCN process may determine a task to be completed for the value chain network based upon, at least in part, on an output of the set of AI-based learning models. A VCN process may execute the task to facilitate an improvement in the value chain network.

US 20240144140 A1APPLICATION
G06Q10/0637

SYSTEMS, METHODS, KITS, AND APPARATUSES FOR PREDICTIVE SOURCING IN VALUE CHAIN NETWORKS

Filed:2023-11-30Pub:2024-05-02
Applicant:Strong Force VCN Portfolio 2019, LLC

A VCN process may receive information associated with a set of value chain network entities. A VCN process may provide the information to a first set of Artificial Intelligence (AI)-based learning models, wherein at least one member of the first set of AI-based learning models is trained to generate a prediction of future demand for an item. A VCN process may provide the information to a second set of AI-based learning models, wherein at least one member of the second set of AI-based learning models is trained to classify at least one of: an operating state, a fault condition, an operating flow, or a behavior of at least one value chain entity. A VCN process may determine a potential risk in the value chain network associated with the at least one value chain network entity based upon, at least in part, an output of the AI-based learning models.

US 20240144103 A1APPLICATION
G06N20/00

SYSTEMS, METHODS, KITS, AND APPARATUSES FOR AI- DRIVEN DIGITAL TWINS FOR VALUE CHAIN NETWORK CONTROL TOWERS

Filed:2023-11-30Pub:2024-05-02
Applicant:Strong Force VCN Portfolio 2019, LLC

A VCN process may receive, by a value chain network digital twin, information associated with a value chain network. A VCN process may provide the information to a set of Artificial Intelligence (AI)-based learning models, wherein at least one member of the set of AI-based learning models is trained to classify at least one of: an operating state, a fault condition, an operating flow, or a behavior of the value chain network and at least one member of the set of AI-based learning models is trained to determine a task to be completed for the value chain network. A VCN process may provide at least one of an instruction for executing the task in the value chain network digital twin and a recommendation for executing the task in the value chain network digital twin.

US 20240144011 A1APPLICATION
G06N3/08

SYSTEMS, METHODS, KITS, AND APPARATUSES FOR USING ARTIFICIAL INTELLIGENCE FOR INSTRUCTING SMART MACHINES IN VALUE CHAIN NETWORKS

Filed:2023-11-30Pub:2024-05-02
Applicant:Strong Force VCN Portfolio 2019, LLC

A VCN process may receive information associated with a value chain network. A VCN process may provide the information to a set of Artificial Intelligence (AI)-based learning models, wherein at least one member of the set of AI-based learning models is trained to classify at least one of: an operating state, a fault condition, an operating flow, or a behavior of the value chain network and at least one member of the set of AI-based learning models is trained on the training data set to determine, upon receiving the classification of the at least one of: the operating state, the fault condition, the operating flow, or the behavior, a task to be completed for the value chain network. A VCN process may provide a computer code instruction set to a machine to execute the task to facilitate an improvement in the operation of the value chain network.

US 20230135553 A1APPLICATION
G05B19/4099

AI-Managed Additive Manufacturing for Value Chain Networks

Filed:2022-09-09Pub:2023-05-04
Applicant:Strong Force VCN Portfolio 2019, LLC

A distributed manufacturing network information technology system includes a cloud-based additive manufacturing management platform with a user interface, connectivity facilities, data storage facilities, and monitoring facilities. The distributed manufacturing network information technology system includes a set of applications for enabling the additive manufacturing management platform to manage a set of distributed manufacturing network entities. The distributed manufacturing network information technology system includes an artificial intelligence system configured to learn on a training set of outcomes, parameters, and data collected from the distributed manufacturing network entities to optimize manufacturing and value chain workflows.

US 20230103078 A1APPLICATION
G06Q10/0631

Distributed-Ledger-Based Manufacturing for Value Chain Networks

Filed:2022-09-09Pub:2023-03-30
Applicant:Strong Force VCN Portfolio 2019, LLC

A distributed manufacturing network includes a distributed ledger system and an artificial intelligence system. The distributed ledger system is integrated with digital threads of a set of distributed manufacturing network entities for storing information on event, activities and transactions related to the distributed manufacturing network entities. The artificial intelligence system is configured to learn on a training set of outcomes, parameters, and data collected from the distributed manufacturing network entities to optimize manufacturing and value chain workflows.

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