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Description
The Invention Navigator software is offered in various formats, whether as an independent tool or integrated within a Knowledge Network. These formats include standard and Plus versions, which are distinguished by the content available in their research databases. The Plus version not only provides original language full texts for a number of offices but also offers machine translations, particularly noteworthy for Chinese and Japanese patents. Our offering includes multiple Invention Navigator versions, each tailored for specific tasks while maintaining a consistent overall design and functionality. Despite these similarities, the different versions are enhanced with unique features. Additionally, the system employs both automatic and manual applicant grouping techniques, eliminating the need for variations in spellings or company names when searching for applicants. For efficient searches, analyses, and patent monitoring, pre-defined applicant groupings, whether created automatically or manually, are utilized effectively. This streamlined approach enhances the user experience and improves search accuracy.
Description
Discover the gaps in your competition effortlessly with NLPatent's user-friendly AI-driven patent search platform. By utilizing an AI-centric methodology, NLPatent harnesses advanced language models to interpret innovation in an unprecedented manner. This insight empowers research and development strategies by swiftly evaluating the novelty and inventiveness of ideas, resulting in more effective patent applications and reduced processing times. Additionally, it allows for the measurement of risk and the identification of potential threats by easily finding essential references that might have gone unnoticed before. With this robust intelligence, you can confidently enter the market, minimizing risks in product development while ensuring compliance with existing patents. By expressing your invention in natural language, NLPatent can evaluate relevance through conceptual similarity rather than merely relying on keyword matching, enhancing the search experience. Moreover, NLPatent is specifically crafted to improve search results through user-guided adjustments based on previously known art and newly saved results within the application, making it an indispensable tool for patent research. Ultimately, this innovative approach not only streamlines the patent search process but also fosters a deeper understanding of the competitive landscape.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
SIP - Software for Intellectual Property
Country
Germany
Website
www.patentfamily.com
Vendor Details
Company Name
NLPatent
Country
United States
Website
www.nlpatent.com
Product Features
Intellectual Property Management
Deadline Management
No
Docket Management
No
Document Management
No
IP Portfolio Management
No
Information Disclosure Management
No
Patent Tracking
Yes
Renewal Management
No
Spend Management
No
Trademark Tracking
No
Product Features
Intellectual Property Management
Deadline Management
No
Docket Management
No
Document Management
No
IP Portfolio Management
No
Information Disclosure Management
No
Patent Tracking
No
Renewal Management
No
Spend Management
No
Trademark Tracking
No
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No
