At IntangibleSpring, our database of royalty rates is supported by thousands of license agreements filed with the US Securities & Exchange Commission (SEC). Using a rigorous combination of text mining, natural language processing and manual review, we have identified and extracted complete license agreements from the vast number of filings with the SEC and have omitted agreements with incomplete pricing data.
For every identified license agreement, we extract and normalize the pricing data and summarize the underlying intellectual property in order to facilitate reliable comparisons of license terms and royalty rates. Tidy data dramatically helps with data analysis and avoids time spent churning through noisy legal excerpts.
We produce high-quality information that frees you from convoluted searches and data extraction to focus more on in-depth analysis.
The text of license agreements is the foundation for analyzing intellectual property. However, lack of information can typically lead to misinterpretation, because without proper context, the descriptions of the intangibles are often meaningless or potentially misleading. IntangibleSpring has developed three data sources —license agreements, patent registrations, and corporate announcements— to provide further insight.
In addition to license agreements, we collect and process additional support documents related to every intangible, such as 8-K announcements, press releases, patent and trademark registrations. These additional data sources complement the information in the agreements and provide fuller context to the underlying transaction.
When we began designing IntangibleSpring’s tools, we considered every detail in a royalty benchmarking analysis — the search, review of results, acceptance and rejection matrices, statistical analysis, and data export. We challenged ourselves to create the most user-friendly interface that would integrate all of these aspects into a streamlined single-screen application.
Every new project launches a customizable search engine that includes IP type, industry, royalty base, rights transferred, effective date, related party, and keyword search fields.
Unlike pay-per-view databases, we offer a transparent search results grid that displays all comparability factors during the quantitative screening.
The statistics section is not only a great tool for analyzing small sets of data ―such as calculating an inter-quartile range of arm’s length royalty rates― but it can also be used for analyzing large data sets and entire industries; e.g., all patents in the chemicals industry.