Ambercite Ai

Summary
Provider

Ambercite

Fee
Fee paying
ASPI
Yes
Database description

Ambercite applies a citation-based algorithm to find and rank similar patents to one or more starting patents. In independent testing, it has been found, when used as a complementary search tool, to strengthen search quality by between 12 and 46%, and to outperform semantic-based search algorithms.

Free trials are available online.

Highlights
Similarity search
Coverage
Patent Collections
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Interfaces
Language
English
General search tools
General search tools
Similarity search

Uses a citation-based algorithm to find patents missed by conventional patent searching, and in a matter of seconds.

Value-added data
Value added data
Standardized applicant names
Patent family data
Patent family data
Simple

Simple patent families (a simple family is all of the patents sharing all of the same priority documents) consolidates results including citation data.

Analysis
Analysis data
Applicant and/or inventor
Citation
Classification
Dates
Analysis
Statistical

Ambercite uses an advanced algorithm to identify the most similar patents to one or more starting patents.

Data export
Data Export
Bibliographic data

Results can be exported in Excel form. Results can also be exported as a fully interactive URL link that can be shared with anyone, for example the link found here: https://www.amberscope.com/ambercite-ai.html?share=5zXxf6hnYh9OMMQfMVLz…

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