Is my invention patentable? Video case study
Patentability searches are one of the more common tasks of patent searchers.
Imagine, for example, you or a client came up with the concept of remote controlled water skiing boat - for example something like this:
And wanted to know if something similar had been done before.
So how would you search on this?
As is often the case with new inventions, is not obvious what the best keywords to search on are. We can all speculate on what the best search strategy might be, and to some extent we might all be right, or at least all partially right. But ultimately this involves getting into the minds of every patent attorney who drafted patents for similar inventions - and I doubt many people, if at all, can do this for every invention they are searching on.
But there is an easier way. The Ambercite AI patent search databases can find similar patents to one or more query patents irrespective of the language or keywords used. This is possible because Ambercite finds these similar patents by relying on the prior art citation links created by patent examiners or applicants. And while patent examiners and applicants, being human like the rest of us, can miss relevant keywords in their individual searches, Ambercite combines the search strategies of many patent examiners - so it is more likely that the full field is covered.
Or in other words, it is like Ambercite AI can create a sophisticated patent search on your behalf - which is why we call it Ambercite AI (or artificial intelligence)
As an example of this, the video case study shown below a patentability search for the above invention. Ambercite needs query patents to run a search - in this case, I use a simple query of 'waterskiing drone' in Google Patent.
Is this is great keyword search query? It is a start, and does lead to four relevant query patents. These four query patents are added into Ambercite AI, and this quickly brings up many more highly relevant patents, using a range of terminology, such as the patent shown below
And of course, if you did run more sophisticated search queries, maybe on a full subscription database, and ended with a longer or more targeted list query patents - this should lead to a more comprehensive list of results. So your extra work will be rewarded. But the good thing is - even an imperfect keyword search to start with can still led to a comprehensive set of results when used in Ambercite Ai.
Not shown in the video is that the patents we found could be added back into Ambercite AI to help find even further patents. Or maybe the keywords in the patents we found could be used to extend the original keyword search, either in Google patent, or your preferred subscription patent database.
And note too that this is simple and fast - in contrast to a conventional patentability search which can take many hours - and still miss relevant patents.
But don't other patent databases also show citations?
They do - but they only show direct patent citations, while Ambecite Ai can find 'unknown' citations - which were not cited against any of the seed patents, but are still highly relevant. In fact, in most Ambercite searches the majority of relevant patents found would be missed by conventional citation searches - such as the patent shown below, which was not cited against any of the initial query patents.
. This is why we truly believe that when it comes to Ambercite searches:
"No search is complete without it"