IPscreener

Summary
Database package

The IPscreener AI helps you to explore and read patent information from a text. By the the OpenCovidPledge cooperation IPscreener offers free access to the Open Covid Pledge portfolio and to our global patent database. Please note and acknowledge that the open license is limited to support research made to fight Covid-19. Read more on the global initiative sharing IP to stop and remedy the pandemic at https://opencovidpledge.org/

Provider

IPscreener

Fee
Free
ASPI
Yes
Database description

IPscreener search tool provides easy access to the knowledge hidden in patents to everyone. A simple text input on IPscreener gives insights to relevant documents and allows zooming in on important text passages that you should start reading first. IPscreener offers integrated reporting of work done by the user and uses self-learning from user actions to improve next searches by highlighting relevant terms.

Highlights
Search history queries
Semantic search
Similarity search
Coverage
Patent Collections
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Interfaces
Language
English
French
German
Japanese
General search tools
General search tools
Semantic search
Similarity search

Use texts as input to get an overview of the innovation landscape, trends and related patents. The AI assists easier understanding of documents found by pointing out relevant text passages, highlighting the key terms and insights to the technology domain. Further searching is done by simply selecting and ranking interesting text or paragraphs, with no need for search strategies.

Classification
Classifications
Cooperative Patent Classification
International Patent Classification

For each new text input IPscreener automatically presents the most relevant classifications according to the CPC.

Value-added data
Value added data
Harmonized titles and/or abstracts
Patent family data
Patent family data
Extended
Simple

IPscreener offers to switch between simple and extended patent family view when reviewing documents.

Index lists
Index lists
Applicant name
Field index search
Invention text
Results
Results type
Annotation
Keyword in context (KWIC) highlighting
Sorting by relevance

Results are sorted in order of relevance, and provided with automatically highlighted key terms as well annotated text passages of main relevancy. This helps to start read reading the rights sections and support faster understanding how and why a document is relevant.

Analysis
Analysis data
Applicant and/or inventor
Classification
Dates
Invention text
Analysis
Graphical
Data export
Data Export
Bibliographic data
Classification
Description and/or claims
Full document scans
Title and/or abstract

Data export sets and Reports are either manually configured or automatically generated on the fly based on the user actions and comments.

Collaboration tools
Collaboration tools
Shared workfiles

IPscreener allows users to share ongoing work and to iterate on results, which includes annotation of text passages and adding of comments easily accessible via markers. Actions taken are automatically updated and saved in a work dossier for each case for later follow up or further development.

Non-patent data
Non-patent content
Non-patent literature

A user may add non-patent data, such as internal archives, to be searched by the IPscreener platform.

Operators
General operators
Special

By ranking documents found as relevant or not relevant, the AI uses this information to improve the next search.

Bibliographic data – At least one of the following is available: publication number, filing number, grant number, publication date, filing date, grant date, applicant name, assignee name, inventor name, patent classification.
Partial text – At least one of the following (but not all) are available: title, abstract, description, claims.
Full text – All of the following are available (where applicable for the given jurisdiction): description, claims