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Description
Relying exclusively on a traditional patent search database means you are limited to keywords and their semantic connections, which often leads to searches that are imprecise, tedious, and time-consuming. In stark contrast, Ambercite Ai employs deep-learning and network algorithms to identify patents that closely resemble one or more initial patents. The results are organized by similarity, ensuring that searches are not only rapid but also effortless. By integrating your specialized knowledge with the advanced deep-learning capabilities of Ambercite Ai, you can gain a significant edge in your research process. Our technology pinpoints the patents most similar and relevant to your interests, utilizing sophisticated methods grounded in our extensive database of over 106 million patents and 175 million patent citations. This innovative approach helps you reclaim valuable time and resources that would otherwise be spent sifting through less relevant patent documents. With features such as abstracts, representative images, and intelligent review tools, you can efficiently focus on the patents that truly matter to your work, ultimately enhancing your productivity and decision-making capabilities.
Description
Patents from various countries are translated and systematically organized alongside technical papers and books. This allows for effortless searching of prior art all in one convenient platform. Users can comprehend results through accompanying images, PDF files, and citations. A focus on security technology, along with a robust Privacy Policy, ensures the protection of user data. With Google Patents, you can explore and access the complete text of patents globally. The platform boasts over 120 million patent publications sourced from more than 100 patent offices worldwide, in addition to numerous technical documents and books found in Google Scholar and Google Books, along with archived materials. Innovations are frequently introduced through patent applications or academic publications. When investigating prior art for a patent application, it is essential in many industries to also include non-patent literature to gain a thorough understanding of the current state of technology. Additionally, patents that were originally in non-English languages have been translated into English through machine processes, allowing users to search patent publications effectively using only English search terms. This comprehensive approach ensures that researchers and inventors have access to a wide array of information to support their endeavors.
API Access
Has API
API Access
Has API
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Ambercite
Country
Australia
Website
www.ambercite.com/ambercite-ai
Vendor Details
Company Name
Country
United States
Website
patents.google.com