PI score is a score that applies our original text mining technology and scores so that the wider the claims, the higher the score. In recent years, evaluation indexes centered on citation relationships between patents have been attracting attention as value evaluation indexes for patents.
The number of citations is a good indicator of the importance of technology. However, it is well known that the economic value of a patent right does not always match the value of the technology in question. Unfortunately, milestone-like inventions often expire shortly before they become widespread.
On the other hand, the PI score is purely an index that evaluates the breadth of the scope of rights of each patent. In other words, the value is evaluated based on the basic mechanism of the patent system, such as "a patent with a higher concept is always more valuable than a patent with a lower concept". By utilizing the PI score, it is possible to discover important patents that were unmarked by both the company and other companies.
It is also easy to extract only patents in the specified PI score range by performing a secondary search based on the PI score. Currently, PI Score only supports Japan, the United States, international publication, and major European countries.
The PI score is a patent value evaluation index that gives a high score, "the higher the number of citations and the wider the claims, the higher the score."
PI (-) gives a score that "the smaller the number of citations and the wider the claims, the higher the score". If only the PI score is used, patents with a strong effect of excluding later applications (number of citations) will appear at the top, but the claims are not always wide. The PI score (-) is difficult to find from the cited information, but you can find patents with wide claims.