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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.
Description
XLSCOUT provides an extensive and high-quality database of intellectual property data specifically designed for patent analytics, featuring 136 million patents sourced from over 100 countries. This platform is recognized by leading brands and organizations of varying sizes for its reliability and accuracy. By harnessing state-of-the-art artificial intelligence technologies, XLSCOUT has crafted a detailed and intelligent database for patents and research publications. Its use of Natural Language Processing (NLP) and Machine Learning (ML) empowers users to save time while gaining dependable insights, allowing for informed, data-driven strategic decisions. Additionally, the Drafting LLM is an innovative platform that employs Large Language Models (LLMs) and Generative AI to create high-quality preliminary patent drafts efficiently. Furthermore, the Novelty Checker LLM rapidly analyzes both patent and non-patent literature, providing users with a thorough list of prioritized prior art references along with an insightful analysis report on key features. This multifaceted approach ensures that users are well-equipped to navigate the complexities of patent applications and research.
API Access
Has API
API Access
Has API
Integrations
Ambercite
Google Scholar
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
Country
United States
Website
patents.google.com
Vendor Details
Company Name
XLSCOUT
Country
United States
Website
xlscout.ai/
Product Features
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization