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Introduction to PatentPia Data/DB/AI

Introduction to PatentPia Data (*): coming soon

* PatentPia Data Map
Full data map
Data core features: Categorize-Connect-Link to basis data
Data FAQ(*coming soon)
* Hot data
Competitive relationship between companies
Keyword classification
Compare companies by theme
* How data is provided
Data providing methods and system map
Web UI/UX(*coming soon)
Downloading Excel(*coming soon)
API/JS plug-in method(*coming soon)

PatentPia IP Data/DB

* Basic patent data
Patent full text data by country
Standard patent classifications(IPC/CPC/FI/F-term)
Backward citations(references) and forward citations
Patent families
Legal status(*coming soon)
* Patent event data
Patent assignment (transaction/licensing/collateral)
Patent litigation
Patent trial
* Processed patent data
Patent full text processing
Processing patent drawings
Patent classification processing
Patent full text translation
* Entity data
Organization(rights holder, applicant, plaintiff/claimant, company, etc.)
People(inventors, paper authors, SW developers, etc.) data and utilization scheme
Agent/IP law firm
NPEs
* Keyword data
Keyword identification
Keyword classification
Co-occurring keywords
Keyword groups
Keyword translation
* Hierarchical category data(*coming soon)
Technology category
Product-Parts categories
Material-Substance categories
Concept categories(*)
Purpose - Problem to solve category(*)
* Patent rejection data
Patent rejection analysis contents
Utilizing patent rejection analysis data by task/purpose
Generation and processing of patent rejection data
Benefits and uses of patent rejection data
Patent rejections Excel data and analysis metrics explained
No. of patent rejections by the USPTO has been declining
* Other patent data 1
Patents from government-funded R&D achievements
* Other patent data 2(coming soon)
Legal status
* Other patent data 3(coming soon)
Standard essential patents by standard organization
* Other patent data 4(coming soon)
FDA and the patents used for FDA approval(*)
* Trademark/Design Patent Data(coming soon)
Trademark full text data by country
Assigned product classification
Design full text by country
Design patent classiciation

Company-Market-Social-Policy data

* Company/Company Group Data
Company group by theme
Listed companies by stock market
Companies in the group
Company governance system
Company stocks-financial data(*coming soon)
Company logo image(*coming soon)
* M&A, investments, and collateral(coming soon)
M&A
Investing in companies
Technology collateralized companies
* Social data(coming soon)
GitHub(*coming soon)
Google Search/Trend(*coming soon)
LinkedIn (*coming soon)
News (tagged)(*coming soon)
Wikipedia(*coming soon)
* Special data(*coming soon)
Reagent substances
* R&D and industrial policy data(coming soon)
National R&D program RFP
Performance data of patents of R&D funded by government
* Others(*coming soon)
University, department and professor

Papers, SW, and other technical data

* Papers/SW Data(coming soon)
Article data
SW(GitHub) data
* Classification data(*coming soon)
Standard disease classifications(ICD/KCD)
Medical classifications(MeSH) etc.
Classifying biomaterials
Chemical classification
Standard product classifications(UNSPSC/GS1/HS)
Industry classification(SIC/KSIC)
* Other technical data(*coming soon)
Chemical name
Gene sequences
Amino acid sequences

PatentPia AI(coming soon)

* Evaluation schemes/models
Patent Evaluation AI
Company Assessment AI
Technology field assessment AI
Researcher Evaluation Model AI
IP law firm evaluation
* Prediction models and predictive AI
Predicting technology emergence/growth
Predicting company IP growth
Predicting near-future convergence
Predict the likelihood of patent litigation
Predicting near-future citations(*)
* Natural language understanding and LLM
Technology domain-specific NER(named entity recognition)
News specific NER(named entity recognition)
Recognize drawing images
* Recommendation models and AI(coming soon)
Technology convergence recommendations
Company recommendation
Researcher recommendation
Customer recommendation
Stakeholder recommendations(*)
* Comparison models
Comparing companies
Comparing researchers
Comparing technologies
Comparing IP law firms
* Synergy & Simulation(*coming later)
Company vs. others companies in a group
Researcher vs. other researchers in other companies in a group
Strategic positioning of a company

PatentPia big data(coming soon)

* Patents vs. keywords big data
Linking patents and keywords
* Keyword vs. keyword big data
Linking between keywords
* Company vs. company big data
Linking between companies
* Researcher vs. researcher big data
Linking between researchers
* Classification vs. classification big data
Linking between classifications
* Technology vs. social vs. market big data
Linking disparate data
Others