Have you ever considered how AI might play a role in uncovering patent landscapes, pinpointing pivotal patents, or discovering crucial prior art?
The world of Artificial Intelligence (AI) is constantly changing the way we live, work, and think. The realm of intellectual property (IP) is no exception to the extensive capabilities of AI. As researchers and technology enthusiasts, we consistently explore various patent search tools and databases to assist our searches. Among these tools, Ambercite has gained attention within our team due to its ingenious utilization of AI, revolutionizing the concept of patent search.
“What’s so special about Ambercite?” you may ask, “There are so many patent search databases out there!”
What sets Ambercite apart from other patent search databases?
Here are a few things that make Ambercite one of the preferable patent search tools for us-
- Requires only patent numbers: Unlike traditional patent databases, which require an elaborate, time-consuming process of keyword and class selection, Ambercite simplifies the procedure. All you need to provide is the relevant patent number and cut-off date.
- Kill two birds with one stone (citation analysis + entry-level analysis): Ambercite offers an in-depth view into the heart of patent networks by sifting through multiple citation layers. This approach saves time and allows users to navigate patent landscapes, identify key patents, and discover meaningful prior art effortlessly.
How to use Ambercite for Patent Search?
Ambercite’s search function is straightforward. Simply follow the procedures outlined in the following snippets-
- Enter the patent number in the search box and then select the type of search –
- Next, choose the Jurisdiction from the drop-down menu –
- Additionally, you can add weightings to individual patent numbers.
Note: If you are providing Ambercite with multiple patents, one of which is more relevant than the others, then you can simply add more weight to it. In this way, the ambercite will provide results proportional to the weightings given to the patents. If used in iterative searching and improvement of your search results, begin with a colon followed by the weight you wish to give to the patent.
- Once all the above-mentioned parameters are set, click on Find similar patents, and the tool will fetch the relevant patents for your search based on citations.
- Filter out the references based on known and unknown citations-
- To hunt for a particular keyword, add the keyword and press enter. The keyword will be highlighted in the references, making it easier to find relevant information.
Now that we know how to use Ambercite for patent searches, the next thing is when to choose Ambercite for patent searching.
When Can Ambercite Assist You in Patent Searching?
Ambercite has a unique set of capabilities that can add value to your patent search processes. Let’s explore how it comes into play in various searches such as Prior Art Search, Infringement Search, and Landscape Analysis.
Prior Art Search: The initial stages
In the early stages of a project, when you only have one or more target patents, Ambercite is a valuable tool.
From Target Patents to Relevant Results
By inputting your target patents into the tool, Ambercite generates a list of relevant results. You can then visit these patents in order of relevance, extracting valuable information about the domain, key inventors, assignees, IPC/CPC classes, and keywords.
Finding Relevant Synonyms
In some cases, similar technologies or methods can be described using different keywords. For instance, your target patent might use the term “Fungi,” while references fetched using Ambercite might use other synonyms like “mushroom.” Since specific keywords don’t confine the search, Ambercite can assist in finding relevant synonyms, providing a broader perspective on your search.
Prior Art Search: During the project
As the prior art search progresses, Ambercite can be useful in various scenarios.
Finding Similar Patents
Ambercite allows you to identify patents that are similar to your desired outcome. Simply provide relevant patents, and Ambercite’s algorithms will generate a list of similar patents sharing common features, themes, or technologies.
Weighting System for Priority
Ambercite offers a unique feature – the ability to assign weights to each patent. This allows you to prioritize specific patents, ultimately influencing your search results in a way that aligns with your objectives. With this flexibility, Ambercite enables you to customize your search strategy to maximize your desired outcomes.
Unlocking the Potential of Ambercite for Infringement Analysis
Ambercite offers features intending to streamline and refine your infringement analysis process. Let’s delve into these functionalities and see how they can aid your patent exploration journey.
Similarity Score: Prioritizing Your Analysis
Ambercite employs a similarity score, which indicates the degree of similarity between patents. This scoring system allows users to prioritize their further analysis by focusing on patents that closely align with their search criteria. As the level of connection between patents increases, so does the similarity score, enabling users to concentrate on the most pertinent patents for a thorough examination.
AI-Powered Algorithms: Reducing False Positives
Ambercite integrates AI-powered algorithms to pinpoint relevant patents and reduce false positives. These algorithms use various factors like citation patterns, patent text, and other metadata to identify patents that bear a high degree of relevance to the search query.
Utilizing Amberscope for Landscape Analysis
AmberScope is developed by Ambercite to work as a visual patent search tool. Let’s discuss how this tool aids us in patent exploration, especially when performing landscape analysis for our clients.
Visual Mapping: Navigating Expert Opinions and Clusters
With AmberScope, you reduce the time-consuming task of reading extensive lists of patents resulting from keyword or class code searches.
By visually mapping expert opinions and clusters, the tool guides you to the patents that matter the most. Its patent scoring system and visual filters quickly zoom in on the patents that are most relevant to your interest.
Discovering ‘Unknown’ Citations
Amberscope ranks patents based on their significance and highlights “unknown citations.” These are patents that, though not cited by an examiner or applicant, are determined to be highly relevant to your search by AmberScope’s algorithms.
Conclusion
Through its powerful features, including AI-powered algorithms, intuitive visual mappings, similarity scoring systems, and the integration of Amberscope, Ambercite is valuable for conducting patent searches and analyses.
But you don’t have to do it all on your own. The patent search experts at GreyB know the ins and outs of not just Ambercite but all the other search tools and can help you with all your patent-searching needs.
Have a patent-search project in mind?
Authored by: Nandini Gupta and Mohit Mahajan, Prior-Art team
Edited by: Annie Sharma, Marketing Team