Company patents

PROTERIAL, LTD.

PROTERIAL, LTD. demonstrates a strong historical focus on foundational materials and electronics hardware, with Alloys (21.6% of portfolio) and Cables & Conductors (19.1%) being dominant areas. Surprisingly, despite a significant patent portfolio in these core areas, there's a notable recent shift away from several categories, with Welding & Soldering experiencing a complete cessation of patenting activity so far in 2026 (YoY -100.0%) and Electric Motors & Generators seeing a sharp decline of 90.9% in 2026, indicating a potential re-evaluation of priorities or a shift in R&D focus.

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.

482 US filings (since 2023) · 12 categories · 29 themes

Cable Termination & Management

Systems and methods for preparing, organizing, and electrically connecting individual conductors or cable bundles to connector terminals, ensuring reliable contact and strain relief.

Cables & Conductors
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89since 2023
0.0%YoY
Specialized Conductor Formulations

Development of new conductive materials, including powders, composites, and alloys, designed for specific electrical performance, manufacturing processes, or applications beyond basic copper wires.

Cables & Conductors
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85since 2023
-23.3%YoY
Alloy Coatings & Surface Treatment

Methods and compositions for applying metallic or alloy layers to a substrate, or modifying the surface of an alloy, to impart specific functional properties such as corrosion resistance, wear resistance, electrical insulation, or improved adhesion, without altering the bulk properties significantly.

Alloys
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82since 2023
+3.8%YoY
Advanced Magnetic Powder Materials

Development and processing of metal powders with specific magnetic properties, including soft magnetic alloys, permanent magnet materials, and insulated powders for electronic components, often involving precise control of particle size, morphology, and composition.

AlloysMagnets & InductorsPowder MetallurgyElectric Motors & Generators
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80since 2023
+19.0%YoY
Cable Harness & Armor Design

Structural design and manufacturing techniques for bundling multiple wires into harnesses, including protective layers like braiding and interlocking armor, and methods for assembly and termination.

Cables & Conductors
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69since 2023
+13.0%YoY
High-Density Magnetic Component Integration

Techniques for designing and manufacturing compact, multi-functional magnetic components, such as inductors, transformers, and coils, often involving embedded structures, multilayer designs, or shared magnetic circuits to achieve higher power density or smaller form factors.

Magnets & Inductors
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42since 2023
+50.0%YoY
Advanced Cable Insulation & Sheathing

Development of polymer compositions and material structures for electrical insulation and protective sheathing of cables, focusing on properties like flame retardancy, flexibility, and semiconductivity.

Cables & Conductors
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40since 2023
-27.8%YoY
Magnetic Position Sensing

Methods and devices that determine the position, angle, or distance of an object by detecting changes in magnetic fields or inductive coupling.

Measurement (Non-specific)
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36since 2023
-56.2%YoY
Torque and Tension Measurement Systems

Devices and methodologies for precisely measuring rotational force (torque) or linear pulling force (tension) within mechanical systems, frequently incorporating compensation for environmental variables like temperature.

Force / Pressure Measurement
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27since 2023
+50.0%YoY
Stator & Coil Manufacturing

Manufacturing processes and techniques for producing stator cores, windings, and coils, including lamination, impregnation, hairpin winding, and segment coil bending, to improve motor efficiency, power density, or reliability.

Electric Motors & Generators
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24since 2023
+200.0%YoY
High-Strength & Heat-Resistant Steels

Steel alloys designed to exhibit superior mechanical strength, toughness, and/or resistance to degradation at elevated temperatures, often achieved through precise control of alloying elements, microstructure (e.g., ferrite, martensite, bainite, retained austenite), and thermomechanical processing.

Alloys
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24since 2023
-22.2%YoY
Metal Matrix Composites & Hard Materials

Composite materials where a metallic matrix is reinforced with a second phase (e.g., ceramic particles, carbon nanotubes, diamond grains) to significantly enhance properties like hardness, wear resistance, stiffness, or strength, often used in cutting tools, wear parts, or structural applications.

Alloys
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22since 2023
-60.0%YoY
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)Powder Metallurgy
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19since 2023
0.0%YoY
Advanced Steering Control

Electronic, hydraulic, or steer-by-wire systems that precisely control vehicle direction, often incorporating feedback loops, compensation, and adaptation for various driving conditions or vehicle types.

Vehicle Steering & Bodies
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14since 2023
-71.4%YoY
Functionally Graded Materials & Coatings

Production of materials where properties vary continuously or discontinuously through the volume, often achieved by combining different powders or applying specialized coatings like thermal sprays to enhance surface hardness, wear resistance, or thermal properties.

Powder Metallurgy
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13since 2023
-75.0%YoY
Tactile & Contact Force Sensing

Sensors and systems designed to detect and quantify localized contact forces, pressure distribution, or touch interactions, often employed in robotics, human-machine interfaces, or object manipulation applications.

Force / Pressure Measurement
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12since 2023
0.0%YoY
AM Process Monitoring & Controlfiltered

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)Powder Metallurgy
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11since 2023
-50.0%YoY
Advanced Motor Topologies

Development of novel motor architectures beyond traditional radial flux designs, including linear, axial, or multi-armature configurations, often to optimize for specific performance characteristics like torque density or form factor.

Electric Motors & Generators
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9since 2023
+600.0%YoY
Lightweight Aluminum Alloys

Aluminum-based alloys developed for applications requiring low density combined with high strength, ductility, and formability, often involving specific alloying elements (e.g., Li, Mg, Si, Mn) and controlled aging or thermomechanical treatments.

Alloys
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8since 2023
+50.0%YoY
Capacitive Force/Pressure Sensors

Measures force or pressure by detecting changes in electrical capacitance. This typically involves the deformation of a dielectric material or the relative movement of conductive plates, altering the distance or area between them.

Force / Pressure Measurement
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7since 2023
-66.7%YoY
Magnetic Actuation and Field Control Systems

Systems and devices that utilize controlled magnetic fields, often generated by electromagnets, to produce mechanical motion, precise positioning, or manipulate physical phenomena like plasma distribution.

Magnets & Inductors
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6since 2023
0.0%YoY
Flexible Electronic Films & Electrodes

Thin, multi-layered films and structures specifically designed for electronic applications, including flexible substrates for devices, display panel components, and active material layers for battery electrodes.

Layered Products (Laminates, Films)
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5since 2023
+100.0%YoY
Differential & Dynamic Pressure Sensing

Systems and sensors designed to measure the pressure difference between two distinct points or to capture rapid, transient pressure fluctuations in fluid or gas systems, often using diaphragms or pistons.

Force / Pressure Measurement
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3since 2023
-50.0%YoY
Capacitive Sensing & Compensation

Design and implementation of capacitive sensors, including methods for improving accuracy, reducing power consumption, compensating for environmental variations (like temperature), and analyzing complex displacement interactions.

Measurement (Non-specific)
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2since 2023
+100.0%YoY
Advanced Solder & Flux Formulations

Development of novel chemical compositions for fluxes, solders, and filler metals to improve material properties, enhance joint reliability, reduce defects, or meet specific application requirements like high-temperature reflow or specialized material joining.

Welding & Soldering
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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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1since 2023
n/a
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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1since 2023
n/a
Automated Visual Inspection

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.

Material & Chemical Analysis
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1since 2023
n/a
Motor System Integration & Safety

Integration of electric motors into larger systems (e.g., vehicles, power tools) and safety features for high-voltage components, including control interfaces, mechanical integration, and environmental protection (e.g., waterproofing).

Electric Motors & Generators
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1since 2023
n/a

Patents

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US 12468267 B2GRANTED
G05B13/02

Process estimation method and process estimation device

Filed:2023-02-24Pub:2025-11-11
Applicant:Proterial, Ltd.

A computer-performed process estimation method and a process estimation method using the computer are provided for estimating, based on a first process data including a process information of a predetermined target step performed in a first manufacturing device that manufactures a material through at least one step including the target step, a second process data including a process information of the target step performed in a second manufacturing device that is a different device from the first manufacturing device and manufactures the material through at least one step including the target step. This method includes machine-learning a relationship between the first process data and a first structure data obtained from a sample after the target step in the first manufacturing device, and creating a first regression model representing a correlation between the first process data and the first structure data, machine-learning a relationship between the second process data and a second structure data obtained from a sample after the target step in the second manufacturing device, and creating a second regression model representing a correlation between the second process data and the second structure data, creating a third regression model representing a correlation between the first process data and the second process data based on the first regression model and the second regression model, and by using the third regression model, estimating an estimated second process data that includes the second process data corresponding to an estimation source-first process data including the first process data that is an arbitrary estimation source.

US 20240142953 A1APPLICATION
G05B19/418

PROCESS ESTIMATION DEVICE AND PROCESS ESTIMATION METHOD

Filed:2023-10-31Pub:2024-05-02
Applicant:Proterial, Ltd.

A process estimation device using a computer is provided with a regression model creation processing unit that, in manufacturing a product through a plurality of manufacturing processes, defines a given manufacturing process, excluding a first manufacturing process, as a target process to be subject to process estimation, learns a relationship between at least a processing object data indicating a state of a processing object to be processed in the target process, a processed object data indicating a state of a processed object processed in the target process, a device condition data indicating a state of a device used for processing in the target process before processing, and a process data indicating a set value of manufacturing conditions of the target process by machine learning, and creates a regression model representing a correlation between the data, and a process estimation processing unit that estimates the process data to be estimated using the regression model created by the regression model creation processing unit. A computer-performed process estimation method includes defining the manufacturing process as the target, learning the relationship between at least the processing object data, the device condition data, the process data, creating the regression model, and estimating the process data using the regression model.

US 20240142951 A1APPLICATION
G05B19/418

MATERIAL DATA PROCESSING DEVICE AND MATERIAL DATA PROCESSING METHOD

Filed:2023-10-31Pub:2024-05-02
Applicant:Proterial, Ltd.

A material data processing device using a computer is provided with a regression model creation processing unit that performs machine learning using, out of process data, composition data, characteristics data, and microstructure data, two or more data including the structure data, and creates a regression model representing a correlation between respective data, an estimation processing unit that estimates, by using the regression model, the process data, the composition data, the characteristics data, or the microstructure data, having been used for machine learning, wherein the microstructure data includes a feature amount based on a magnetization temperature dependence during heating, and a feature amount based on a magnetization temperature dependence during cooling; and a temperature type selection means that selects use of either one or both of the feature amount based on the magnetization temperature dependence during heating or the feature amount based on the magnetization temperature dependence during cooling as the microstructure data to be used for the machine learning. The material data processing method includes performing the machine learning, and creating the regression model, selecting the use of either one or both of the feature amount based on the magnetization temperature dependence during heating or the feature amount based on the magnetization temperature dependence during cooling as the microstructure data to be used for the machine learning.