VantagePoint 2020 Now Available!
For today’s insightful analysts
  • Want to add information from other sources to your data? 
Our NEW Data Augmentation and API Import enables you to enrich your content, so you have the information you need to make better decisions.
  • Ready for an easier, “smarter” way to categorize according to your needs?
Our NEW AI powered Smart Trainer helps you quickly categorize your data and save that knowledge for future use.
  • Working with Text and Numbers?
VantagePoint was always great at analyzing text but now our enhanced Statistical Summaries allow you to better understand and visualize your numerical data too.

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What is VantagePoint?

VantagePoint is a professional-grade desktop text mining application offering Analysts a broad suite of powerful refining, analyzing, and reporting tools for scientific, technical, market and patent information.

Introduction to VantagePoint - Click for a quick overview.

VantagePoint Literature - Download our flyer (also in ESPAÑOL, PORTUGUÊS, and DEUTSCH)

VantagePoint plays a role in reports from the UK Intellectual Patent Office.

Contact us for a trial of VantagePoint.


"Will my data work in VantagePoint?"

VantagePoint is not locked into any one data source.  Whether you are analyzing publications, patents, or internal data, VantagePoint’s import tools are designed to process information from a wide variety of sources. Browse the Library to see if your key data resources work with VantagePoint or Contact Us if you have a question about your data.

From Excel® to XML, and pretty much anything in between, from patent and publication databases to mining your own email, VantagePoint’s ability to import, refine, analyze and report enables you to transform analysis into insight.

Friday, January 7, 2011

Alan L. Porter and Nils C. Newman, Search Technology, Inc. (to appear in Technovation, Volume 31, Issue 4, pp 171-176, April 2011)

Abstract - Open Innovation presses the case for timely and thorough intelligence concerning research and development activities conducted outside one’s organization. To take advantage of this wealth of R&D, one needs to establish a systematic “tech mining” process. We propose a 5-stage framework that extends literature review into research profiling and pattern recognition to answer posed technology management questions. 

Ultimately, one can even discover new knowledge by screening research databases.



Once one determines the value in mining external R&D, tough issues remain to be overcome. Technology management has developed a culture that relies more on intuition than on evidence. Changing that culture and implementing effective technical intelligence capabilities is worth the effort. P&G’s reported gains in innovation call attention to the huge payoff potential.


View/Download preprint in PDF format (opens a new window)

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