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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
A non-profit collaborative effort aims to establish an open-source ecosystem of AI tools designed to foster innovation and enhance the quality of patents. By increasing transparency in the patent process, this initiative intends to significantly expand the inventor community, ultimately hastening innovation and elevating patent standards. Open-source software has proven to be a crucial catalyst for freedom, trust, and advancement in the digital realm, and now the time has come to apply this model to patent searching. PQAI empowers researchers, developers, and enthusiasts engaging with patent data to utilize cutting-edge AI, receive community backing, and make a substantial difference in the field. One of the most pressing challenges in patent data mining is creating an effective platform for natural language-based patent searches. To address this challenge, PQAI seeks to unite the brightest minds in the industry to collaborate and develop AI components that can effectively tackle this significant issue while driving progress in the field.
API Access
Has API
API Access
Has API
Integrations
Google Patents
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
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
PQAI
Country
United States
Website
projectpq.ai/