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Discussion of all things patent mapping and analytics.

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Recent blog posts

How long does a patent landscape take to do? 

I asked this question once of a specialist employed by a French multinational, and she said up 'up to one month'. And I am sure that she did a great job.

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How good is a patent?

This is of course a highly subjective question, affected by many different factors such as who is asking the question, how legally valid the patent is, etc etc.

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Summary

In an earlier blog we compared the earlier version of Cluster Searching to some semantic search options, based on the round number patent US9,000,000, and concluded that it was.

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Apple have just been granted US patent 9504170 for a phone with a flexible display device, which is attracting a bit of press.

 

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Summary:

A comparison of applicant, examiner, X and Y citations for a Nike patent has shown that: 

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Family Cluster Searching has just been released, and this includes a number of benefits - including the ability to search for Chinese, Korean and Japanese patents.

We know this is important for clients due to the huge growth of patent filings in these countries.  However patents from these countries can be hard to search for because they may be published in other languages apart from English.  Even if translated into English, technical terms can end up with unexpected translations.

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Here at Ambercite, we are very excited to announce that we have upgraded our existing Cluster Searching to the much improved "Family Cluster Searching". Below we list what are the benefits to you and common FAQs. 

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Posted by on in Amberblog

Does Cluster Searching work? Our testimonials page would strongly suggest that it is, but further evidence is sheer number of patent searches done on Ambercite since it was launched in May 2015. This is now almost 15,000 searches, from countries all around the world including in Europe, Asia, India, North America, South Africa and Australasia. 

Any why not? Providing you have a reasonable starting patent, you can quickly find many more very similar patents, and without the risks of having to make assumptions about keywords or class codes 

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Since the release of the more recent product Cluster Searching, the earlier visual based patent searching product AmberScope has taken a bit of a back seat. Cluster Searching is a very easy product and learn and use, and ideal for quickly identifying the most similar products to a good set of starting patents.

But sometimes patent searching is not a linear process. You may not be sure of the best starting patents, or want to build a visual model of the patent landscape as this can help speed up your understanding. This is when AmberScope still has a place, and why we continue to offer it in combination with Cluster Searching.

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A common question for us is - how does Cluster Searching compare to conventional searching?

Which is an important question, so we have prepared a simple table:

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