[WIPS PRISM II] Turning Patent Data into Strategy : Your AI-Powered Solution

WIPS PRISM : Detailed Features and User Guide

In our previous issue, we introduced PRISM as a deep-learning-based AI patent automatic classification solution. It revolutionizes analysis speed and accuracy by automating the technical classification stage, which typically accounts for 50-60% of the patent analysis workload.

In this issue, we will dive deeper into the specific features that make PRISM an essential tool for patent professionals.

gl.wipsprism.com> AI Training

AI Training & Configuration

Establishing the AI classification model through data learning.

This stage involves the initial setup where the AI learns from user-provided data. By uploading a population and performing manual classification for training, a complete classification model is generated. 

Data Import: Upload up to 200,000 records via Excel or by syncing with WIPS Global "My Folders" (multiple folders supported). Additional data can be added even after a project is created. 

Classification Support: Supports both manual and stepwise classification. It utilizes AI-generated summaries (sentence/phrase level) in addition to titles, abstracts, and claims. 

Training & Automation: You can train the AI on a small subset of the population to automatically classify the remaining documents. Precision can be adjusted using similarity settings (30–90%).

gl.wipsprism.com> Noise Filter

Noise Filtering via AI Training

Filtering out irrelevant data before technical classification.

The goal is to create a "Noise Filter" by training the AI on "Valid Documents" so it can identify and remove dissimilar "Noise Documents." 

The generated filter is applied during AI classification to automatically categorize documents as Valid (YES) or Noise (NO).

·    By selecting the noise filter option and uploading valid training cases, the AI generates a final filter optimized for your specific project.

gl.wipsprism.com> AI Classification

Real-World AI Classification

Applying the trained models to derive results (Technical Classification & Noise Filtering). 

Automated Technical Classification: Apply a pre-created model to receive a classified list for each document. The system displays the Top 3 classification categories along with their Similarity Scores (%). 

Adjustment & Expansion: Users can set and edit classification trees up to 3 levels deep. You can also integrate and re-classify new populations with existing data. 

Recommended Workflow: To maximize data quality, we recommend a two-step process: first, use the Noise Filter to select valid patents, and second, apply the Detailed Technical Classification model. 

Continuous Improvement: Once a model is created, it can continuously classify new patents. Performance can be further refined by feeding newly classified data back into the model for additional training.

gl.wipsprism.com> Clustering

Clustering (Unsupervised Learning)

AI-driven grouping of similar patents without prior training data.

This is ideal for exploring new technologies, establishing initial classification systems, or predicting a competitor’s new business directions. 

Data Preparation: To avoid missing valid patents, it is best to collect data using broad search queries, even if they include some noise. Requires a minimum of 50 records. 

Clustering Settings: Supports up to 3 levels of grouping. Like AI training, users can select the data scope (Title, Abstract, Claims, or AI Summaries). 

Review & Model Conversion: After reviewing the clustering results, if the classification structure is satisfactory, it can be converted into an AI Classification Model (Supervised Learning) for future automation.

gl.wipsprism.com> Matrix

Matrix

Strategic insight through Objective (Why) vs. Solution (How) analysis.

The OS Matrix maps the same dataset across two axes—Object and Solution—to analyze distribution patterns and identify problem structures, technical trends, and opportunity areas. 

White Space Analysis: By setting AI classification or clustering results on the X and Y axes, you can see where data is concentrated or sparse. A "White Space" (an object with no corresponding solution) indicates an untried technical area. 

Portfolio Optimization: This method allows for the simultaneous identification of competitive structures and expansion potential. 

Targeted Search: By running a matrix with data scoped to "Solution" and "Effect" fields, users can find specific technologies that achieve a desired effect or identify alternative effects for a single solution.

gl.wipsprism.com> Chart

Multi-Perspective Charts

Visualizing classification results through various lenses.

PRISM provides interactive charts to visualize results by year, country, assignee, and technical category. 

Enhanced Accuracy: Data cleaning features for assignee names improve the precision of the analysis. 

Interactive Filtering: Selecting a specific tech field or date range triggers real-time updates across all charts, providing a customized and intuitive analysis environment.

We have taken a detailed look at the core features of WIPS PRISM. At its heart, PRISM is about Automated Classification through AI Learning. Whether you are creating a 'Personal Assistant" by teaching the AI your manual classification logic (Supervised Learning) or letting the AI discover strategies within massive datasets (Clustering/Unsupervised Learning), WIPS PRISM is here to transform your patent workflow efficiency.

Boost your patent intelligence with WIPS PRISM today!

 

[International IP Briefing] US, EP

 

US

USITC Institutes Section 337 Investigation into DRAM Memory Semiconductor Companies, Including SK hynix

On March 26, 2026, the U.S. International Trade Commission (ITC) announced the institution of an investigation under Section 337 of the Tariff Act. The investigation is based on allegations that certain NAND1)  and DRAM memory semiconductor technologies from companies including South Korea's SK hynix and Japan's Kioxia2) infringe upon the patent rights of MonolithIC 3D, a U.S.-based patent licensing firm.

 (Background)

Section 337 of the U.S. Tariff Act grants the ITC quasi-judicial investigative powers regarding unfair practices in import trade, including the infringement of intellectual property rights. Under this provision, the ITC may issue Exclusion Orders and Cease and Desist Orders against goods found to be in violation.

-      The ITC determines the target date for completing the investigation within 45 days of its institution.

-      Unless the Office of the United States Trade Representative (USTR) disapproves the ITC’s decision within 60 days, the decision takes immediate effect as an administrative order.

(Key Details)

The specific details regarding the background and the decision to institute this investigation are as follows:

1. Background of the Investigation

On February 17, 2026, MonolithIC 3D3) filed a complaint with the ITC requesting a Section 337 investigation, asserting that certain NAND and DRAM memory semiconductor technologies imported into and sold in the U.S. infringed its patents.

Patents at issue:

2. Decision to Institute Investigation

·         Respondents: The ITC has decided to commence a Section 337 investigation targeting South Korea's SK hynix and Japan's Kioxia, among others.

·         Procedure: The ITC will assign an Administrative Law Judge (ALJ) to preside over the evidentiary hearing and related proceedings. Following these procedures, the ALJ will issue an Initial Determination on whether there is a violation of Section 337, which the Commission will then review for a final decision.

 

-----------------------------------------------------------------------------

1) NAND is a type of flash memory that has the characteristic of retaining stored data without a power supply.

2) Kioxia Holdings Corporation, Kioxia Corporation, Kioxia America, Kioxia Engineering Corporation, Kioxia Iwate Corporation, Kioxia Systems Co.

3) MonolithIC 3D additionally amended and supplemented the contents of the complaint on March 16, 2026.

< Source of this post >

https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=US&po_no=24340

 

EP

European Patent Office Integrates AI-Powered OCR Solutions into Operational Systems

In March 2026, the European Patent Office (EPO) announced that it had co-developed and integrated an AI-powered Optical Character Recognition (OCR)1)  solution into its operational systems in collaboration with the European AI firm, Mistral AI.

 (Background and Overview)

The EPO has long utilized OCR technology to extract text from patent documents submitted in paper or PDF formats, transforming them into searchable and analyzable data. However, modern patent documents often contain complex information—including multilingual text, mathematical formulas, chemical structures, images, and tables—that traditional OCR technology struggles to capture accurately.

These limitations can lead to recognition errors or data omissions during the conversion into structured data, which in turn hampers the efficiency of patent examinations, prior art searches, and overall analysis quality.

 As part of its digital transformation under the AI Policy2)  and Strategic Plan 20283) , the EPO initiated this partnership with Mistral AI to:

①Strengthen European Digital Sovereignty by leveraging AI technologies developed by European enterprises.

②Ensure Data Security, guaranteeing that sensitive patent information is processed according to European legal and ethical standards.

(Key Highlights)

Following a three-month Proof of Concept (PoC)4)  tailored to the specific characteristics of patent documents, the EPO and Mistral AI developed a specialized AI-powered OCR solution. Its integration into the EPO’s workflow is expected to yield the following benefits:

Enhanced Accuracy in Data Extraction: The solution significantly improves the recognition of complex elements like formulas, chemical structures, and tables, ensuring precise extraction of technical information used in the patent granting process.

Strengthened Foundation for Patent Analysis: By effectively converting unstructured information into structured data, the EPO establishes a robust data foundation for patent management and technical trend analysis.

Improved Efficiency in Examination and Prior Art Searches: Structuring previously difficult-to-analyze documents allows EPO patent examiners to conduct prior art searches and technical evaluations more efficiently.

Future Plans

The EPO plans to continuously refine the AI-powered OCR solution and expand its scope of application. Moving forward, the Office will explore the introduction of additional AI technologies to further optimize operations across the entire patent system.

--------------------------------------------

1) Optical Character Recognition (OCR): A technology that automatically recognizes characters in scanned documents or images and converts them into digital text data, enabling document search, analysis, and data utilization.

2) AI Policy: Established in February 2025, this policy creates a framework for the responsible use and governance of AI. It guides the EPO's implementation of AI in tasks such as patent searching and document analysis. (https://link.epo.org/web/about-us/transparency-portal/en-epo-ai-policy.pdf)

3) Strategic Plan 2028: For the original text of this plan, please refer to the following https://link.epo.org/web/about-us/office/en-epo-strategic-plan-2028.pdf

4) Proof of Concept (PoC): A validation phase where a technology or solution is implemented on a limited scale to verify that its functions and performance meet the requirements of a real-world environment.1.

 

< Source of this post >

https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=EU&po_no=24300

Renault Battery Technology Patent Infringement Allegations

Last year, the Munich District Court in Germany ruled in favor of Tulip Innovation—a company managing patents for LG Energy Solution and Panasonic—for the third time in a patent infringement lawsuit against battery manufacturer Sunwoda. The patents managed by Tulip Innovation involve core technologies that enhance stability by firmly bonding electrodes and separators in automotive batteries. Furthermore, as Sunwoda was a battery supplier for Renault Korea, the court issued an injunction on sales and a recall order for Renault's Dacia Spring models equipped with those batteries. Based in Hungary, Tulip Innovation generates revenue through licensing negotiations and litigation using its extensive battery patent portfolio.

Dacia 
(source: Renault Group Media)

Tulip Innovation Files for Investigation with the Korea Trade Commission

Believing that follow-up measures to the court ruling were insufficient, Tulip Innovation filed a request with the Korea Trade Commission (KTC) under the Ministry of Trade, Industry and Energy to investigate Sunwoda and Geely Automobile for unfair trade practices. In January, the KTC announced it had launched an investigation. The probe includes Sunwoda, which manufactures and supplies battery cells to Renault Korea, and Geely Automobile, which provides the battery packs. The only domestic model equipped with the contested battery cells and packs is the Grand Koleos. If the KTC rules in favor of Tulip Innovation, it could lead to a situation where sales of the popular Grand Koleos are suspended. Since the technology in question is a fundamental patent for battery manufacturing with a broad scope of rights, industry experts anticipate that the KTC will reach a similar conclusion to last year's German court precedent.

Renault Korea Grand Koleos
(source: renault.co.kr)

Renault Korea’s Popular Model, the ‘Grand Koleos’

The Grand Koleos, a mid-size SUV developed by Renault Korea for the Korean market, was first launched in 2024. It gained significant popularity through word-of-mouth for its stability, fuel efficiency, and quietness. Its value was further recognized when it won the SUV of the Year at the 2025 Korea Car of the Year awards, hosted by the Korea Automobile Journalists Association. Additionally, it is a flagship model that accounted for approximately 78% of Renault Korea's domestic sales last year.

wipsglobal.com
EP2378595 B1, High-power lithium secondary battery

Renault Korea’s Cost-Cutting Strategy: Was It the Right Choice?

The automotive industry suggests that Renault Korea's China-dependent supply chain for cost reduction has become a liability. Specifically, while the Grand Koleos lowered development costs by sharing Geely’s CMA platform from the design stage, it appears the verification process regarding potential intellectual property disputes or infringements was insufficient. Consequently, many predict that Renault will pursue licensing negotiations to avoid the extreme outcome of a sales suspension. Tulip Innovation has consistently maintained that its goal is to establish a reasonable licensing market to ensure fair competition in the battery industry. Even if an agreement is reached, Renault Korea will have to bear royalty costs, which will likely lead to an inevitable increase in vehicle prices. Meanwhile, Renault Korea maintains that all batteries were applied according to official contracts and that no patent infringement occurred, though they are reportedly exploring design-arounds and alternative supply chain options.

tulipinnovation.com

In February of this year, LG Energy Solution filed a patent infringement lawsuit against BYD in the Unified Patent Court (UPC) of Europe. Battery-related litigation is increasingly impacting not just direct competitors but also finished vehicle manufacturers. As battery companies intensify their legal offensives, all eyes are on Renault Korea to see what decision they will make.

 

 

WIPS Selected as an Outstanding Invention Evaluation Institution 2025!

 

We are excited to share some great news with our customers.

On March 17, 2026, WIPS was honored with the “Outstanding Invention Evaluation Institution 2025” Award presented by the President of the Korea Invention Promotion Association.

What is an “Outstanding Invention Evaluation Institution”?

An Outstanding Invention Evaluation Institution is a certified organization authorized to objectively assess the technical excellence, business feasibility, and economic value of inventions, and to quantify that value in the form of ratings or monetary figures.

In other words, it is an officially recognized expert institution that goes beyond simple analysis and is authorized by the government to issue a “technology report card” for innovations.

Award ceremony-Korea Invention Promotion Association President's Award

The Pride of the Top 1% in Korea

While there are countless companies in Korea, only 33 institutions nationwide (as of 2026) are officially designated to evaluate and certify the value of technologies. This exclusive list includes government agencies, policy banks, and a limited number of highly specialized private institutions that have passed rigorous evaluation standards. WIPS being selected once again signifies that our analytical capabilities are recognized at a nationally certified top-tier level.

Status of designated evaluation institutions-Total 33 organizations
(source: Korea Intellectual Property Marketplace)
https://ipmarket.or.kr/ko/uses/valuation/intro/

Why Is It So Difficult to Be Designated?

Becoming an “Outstanding Invention Evaluation Institution” requires far more than expertise in patents. Organizations must meet strict legal requirements, including:

·         Highly Specialized Talent Pool

Full-time employment of top-tier professionals such as patent attorneys, certified public accountants, professional engineers, and PhD-level experts.

·         Dedicated Organizational Structure

A specialized department and systematic processes exclusively designed for evaluation services.

·         Proven Data Infrastructure

The capability to objectively analyze vast volumes of technical data through robust infrastructure.

WIPS not only meets but exceeds all of these standards—fully prepared to transform our clients’ ideas into precise, quantifiable value.

Why Do So Many Companies Ultimately Choose WIPS?

As Korea’s first private IP-specialized company, WIPS goes beyond theoretical analysis. We deeply engage with the ever-evolving, real-world dynamics of the IP industry every single day.

A valuation report from WIPS is not just a piece of paper. For SMEs facing challenges in securing funding, it becomes a powerful tool to unlock financial opportunities. Our precise and credible evaluations serve as a trusted guarantee, enabling banks and financial institutions to confidently recognize and act on the value of technology.

Moreover, for those wondering, “Will the technology we worked tirelessly to develop be fairly valued in the market?” WIPS provides a clear and confident answer.

By translating complex technologies into intuitive ratings and concrete monetary values, we empower companies to confidently present their technology—whether for investment or commercialization—without undervaluation.

Turning ideas into real business value, proving innovation through numbers—this is the true capability that WIPS delivers.

We Will Continue to Go Further

Being one of only 33 institutions nationwide is not just a source of pride—it is a profound responsibility to safeguard and represent the value of our clients’ innovations.

Until the day when every innovative idea from Korean companies is fully recognized as rightful capital, WIPS will continue to move forward with dedication and purpose.

Your innovation deserves to be proven.

Now, validate its true value with WIPS, a nationally certified institution.

Turning Patent Data into Strategy : Your AI-Powered Solution, WIPS PRISM

 The most time-consuming and labor-intensive stage of patent analysis is, without a doubt, technology classification. WIPS is proud to announce the global launch of PRISM, our upgraded AI patent classification solution. PRISM is a deep-learning-based tool designed to smartly automate repetitive and complex classification tasks, simultaneously boosting both speed and accuracy.

Specifically engineered for the global state, PRISM supports four major languages-English, Chinese (simplified), Japanese and Traditional Chinese. This allows for consistent classification standards even in multi-lingual environments, significantly expanding the scope and efficiency of international IP analysis.

https://gl.wipsprism.com

The Challenge: Why is Patent Analysis So Difficult?

Patent analysis goes far beyond simple data organization; it is the backbone of R&D strategy, IP portfolio management, market/competitor analysis, and litigation risk management.

In practice, experts must subdivide vast amounts of patent data into specific technology, industry, and product units. This classification phase is notoriously grueling, often accounting for 50% to 60% of the total analysis workload.

The Role of PRISM: The Core of Automated Classification

PRISM was designed to solve this exact bottleneck. As an AI-driven solution, it can be applied across the entire core analysis pipeline: from screening valid data and classifying technologies to data refining and statistical analysis.

Technical Excellence of PRISM

At the heart of PRISM lies a Deep Learning training model. While traditional classification methods suffer from high labor costs, long turnaround times, and inconsistent results, PRISM overcomes these limits. By combining multiple deep learning models with preliminary classifiers and applying noise-reduction techniques, PRISM ensures a faster, more consistent technical classification process.

Two Strategic AI Classification Modes

PRISM offers two distinct classification methods tailored to your specific analysis goals:

1. Supervised Learning AI Classification When a user uploads previously classified patent data, PRISM learns the patterns to create an optimized classification model and noise filter. It then automatically classifies new patent populations based on this learned logic.

2. Unsupervised learning AI clustering even without prior training data,

Users can upload a patent population and the AI will automatically form clusters based on technical similarity.

With a hierarchical structure (up to 4 depths), this mode is ideal for exploring new technologies or initial technology mapping.

Key Features & Visualization

PRISM provides AI training/classification, matrix analysis, and clustering functions. It visualizes classification results into an X-Y Axis Matrix, enabling intuitive technology positioning and competitive landscape analysis.

A New Standard for IP Intelligence

PRISM is a solution that elevates patent analysis by automating the most resource-heavy stage of the process. Through deep learning and its dual-mode (Supervised/Unsupervised) approach, it supports everything from routine repetitive analysis to the discovery of emerging technologies.

WIPS PRISM transforms patent classification from a mere "pre-processing task" into a strategic decision-making asset.

Shift your IP workflow to a faster, smarter standard with PRISM.

Stay tuned! In our next issue (#38), we will dive deeper into the specific features of PRISM Global.

Inquiries: For detailed product information, please contact us at global@wips.co.kr 

[International IP Briefing] KR, US

 

KR

Korean Intellectual Property Office Hosts the “2025 Living Invention Korea” Awards Ceremony

On December 11, 2025, the Korean Intellectual Property Office (KIPO) held the “2025 Living Invention Korea” Awards Ceremony.

Now in its 12th year, Living Invention Korea is KIPO’s flagship program supporting women inventors. The initiative aims to discover and support women’s ideas for everyday-life products, thereby contributing to women’s entrepreneurship and job creation. This year, a total of 1,678 ideas were submitted. Through a three-stage evaluation process—including document screening, prior art searches, and feasibility assessments—50 ideas were selected for support. From August 2025, the selected ideas received approximately three months of support, including design advancement, prototype development, intellectual property filing, start-up and commercialization training. Following public participation voting and expert evaluation, 35 final award-winning ideas were selected.

The event was hosted by KIPO and organized by the Korea Women Inventors Association. In the presence of approximately 150 attendees, including intellectual property professionals and members of the public, awards such as the Presidential Award, the Speaker of the National Assembly Award, and the Prime Minister’s Award were presented to outstanding inventions among the 35 finalists.

👏Presidential Award

The Presidential Award was presented to Ms. Choi Seul-gi, a sleep consultant, for her invention, Infant Sleep Induction Device. This product provides step-by-step guidance for parents through sleep-training audio content, allows monitoring of optimal temperature and humidity for sleep, and automatically plays audio when crying is detected to help infants fall asleep independently.

👏 Speaker of the National Assembly Award

The Speaker of the National Assembly Award was awarded to Ms. Oh Jeong-rang, an obstetrics and gynecology nurse, for her invention, Baby Arm Pillow. Featuring a band-type structure and ergonomic design, the product enhances comfort for both infants and caregivers.

👏 Prime Minister’s Award

The Prime Minister’s Award went to Ms. Kim Na-young, a biotechnology researcher, for her invention, Stress Self-Testing Kit. The product received high praise for enabling stress level measurement using saliva and allowing users to manage their results through a dedicated mobile application.

👏 Other Notable Inventions

Other highly evaluated inventions included an Emergency Escape Parking Number Plate equipped with a glass-breaking safety tool for emergencies, a Customized Pillow for Preventing Acid Reflux, and a One-Stop Laundry Basket designed to store laundry hygienically. These ideas were recognized for improving safety and quality of life in everyday living.

A KIPO official stated that the efforts of women inventors to creatively overcome challenges encountered in their daily lives are driving positive change in society, adding that KIPO will continue to actively support the realization of innovative ideas from more women inventors in the future.

 

< Source of this post >

https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=KR&currentPage=2&po_no=24087

 

US

Clarivate Announces the “Top 100 Global Innovators 2026”

On January 21, 2026, Clarivate Analytics (hereinafter “Clarivate”), a U.S.–UK-based information analytics company, released its report titled Top 100 Global Innovators 2026¹.

Each year, Clarivate analyzes and publishes the Top 100 Global Innovators based on its proprietary patent data.

Overview

Amid the unprecedented pace of advancement in generative artificial intelligence and deep learning, the Top 100 Global Innovators account for 16% of the world’s most advanced AI-related inventions. This finding suggests that leadership in innovation is increasingly driven not by sheer volume, but by qualitative excellence and strategic direction.

Samsung Electronics retained the top position and was named among the Top 100 Global Innovators for the 15th consecutive year. Newly selected companies for the Top 100 Global Innovators 2026 include GE Vernova, ZTE, Subaru, ChangXin Memory Technologies (CXMT), Aptiv, and Silicon Motion.

Analysis by Country and Region

Among the Top 100 Global Innovators 2026, Japanese companies accounted for 32 entries, followed by U.S. companies with 18, Taiwanese companies with 12, and eight companies each from Germany and South Korea.

Analysis by Industry Sector

Within the Top 100 Global Innovators 2026, the consumer electronics and computing equipment sector continued to lead, accounting for 27% of all selected companies. The number of semiconductor companies increased by two, while the energy and electrical sector saw an increase of three companies. In contrast, the industrial systems sector experienced the largest decline, with three fewer companies compared to the previous year.

Top 100 Global Innovators 2026

¹ Rankings are determined through comparative analysis of global patent data from Clarivate’s proprietary database, the Derwent World Patents Index (DWPI). The evaluation is based on the Derwent Strength Index, which scores inventions using key factors such as influence, investment, success, and rarity.

 

< Source of this post >

https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=US&po_no=24207