Our analysis goes beyond mere representation of data. Some of the analysis includes.

Creation of technology taxonomy and categorizing patents in the taxonomy either manually or using

a

combination of classifications like US classifications, ECLAs, IPCs or Derwent Manual codes.

Relational patent maps are customized for various decisions including strengths, weaknesses, IP

creation

opportunities, IP acquisition/ in-licensing opportunities, collaboration/ investment opportunities, threats, technology trends and evolutions, technology clusters, threat/ partnership clusters, similar patent cluster and many more which are designed to suit your needs.

Data clustering and visual theme maps.

Interactive patent maps for analysis of IP roadblocks, strengths, weaknesses, IP acquisitions and

threats.

Citation maps to identify new players, threats and out-licensing or collaboration opportunities.

Landscape dashboards summarize technology/ competitive portfolios across various relational

metrics,

used to summarize key analysis factors.

Normalized dataset in any database format (SQL, MS Access) or other formats like Aureka or any

other

custom data formats required to blend with your internal systems.