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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.
Description
Patentics is a cutting-edge platform for patent intelligence powered by artificial intelligence, integrating advanced semantic search capabilities, precise translation, thorough data processing, and automated analytical features to assist users in discovering, assessing, and visualizing patent information on a global scale. Utilizing a sophisticated model trained on millions of data points, Patentics’ semantic engine adeptly interprets the language of patents, broadens related terms, auto-assigns IPC classifications, and highlights the most pertinent prior art, including documents that may jeopardize novelty or inventive steps. The platform consolidates and standardizes data from over 160 national and regional patent offices across more than 130 analytical categories, enhancing patent dossiers with comprehensive metadata regarding families, citations, transactions, and legal statuses. Users can easily access and navigate foreign patents in their chosen language through built-in neural translation capabilities between Chinese and English. The platform also features integrated operators and visual query flows, which facilitate sophisticated filtering, grouping, and mapping for a more thorough analysis of patent data. With these tools, Patentics empowers users to make informed decisions and stay ahead in the competitive landscape of innovation.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
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
NLPatent
Country
United States
Website
www.nlpatent.com
Vendor Details
Company Name
Patentics
Founded
2006
Country
China
Website
www.patentics.com
Product Features
Intellectual Property Management
Deadline Management
Docket Management
Document Management
IP Portfolio Management
Information Disclosure Management
Patent Tracking
Renewal Management
Spend Management
Trademark Tracking
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